diff --git a/.github/workflows/unit-build.yml b/.github/workflows/unit-build.yml
index 303d65d90..8dc6a0795 100644
--- a/.github/workflows/unit-build.yml
+++ b/.github/workflows/unit-build.yml
@@ -13,7 +13,7 @@ jobs:
     timeout-minutes: 5
     strategy:
       matrix:
-        python-version: [ 3.8, 3.9]
+        python-version: [ "3.9", "3.10" ]
 
     steps:
     - uses: actions/checkout@v2
@@ -27,6 +27,9 @@ jobs:
         pip install pytest
         pip install -r requirements.txt
         pip install pytest-cov
+    - name: Run flake8 checks
+      run: |
+        flake8 gefest test --count --statistics
     - name: Test with pytest
       run: |
         pytest --cov=GEFEST -s test/
diff --git a/.readthedocs.yml b/.readthedocs.yml
index 260cd15d7..79342879f 100644
--- a/.readthedocs.yml
+++ b/.readthedocs.yml
@@ -8,7 +8,7 @@ version: 2
 build:
   os: ubuntu-22.04
   tools:
-    python: "3.7"
+    python: "3.9"
     # You can also specify other tool versions:
     # nodejs: "20"
     # rust: "1.70"
diff --git a/cases/microfluidic/configuration_standard/__init__.py b/cases/breakwaters/arctic_config/__init__.py
similarity index 100%
rename from cases/microfluidic/configuration_standard/__init__.py
rename to cases/breakwaters/arctic_config/__init__.py
diff --git a/cases/breakwaters/arctic_config/arctic_config.py b/cases/breakwaters/arctic_config/arctic_config.py
new file mode 100644
index 000000000..ac4434e11
--- /dev/null
+++ b/cases/breakwaters/arctic_config/arctic_config.py
@@ -0,0 +1,159 @@
+import pickle
+from pathlib import Path
+
+import numpy as np
+from breakwaters.breakwaters_utils import parse_arctic_geojson
+
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.simulators.swan.swan_interface import Swan
+
+root_path = Path(__file__).parent.parent.parent.parent
+result_path = 'cases/breakwaters/newdata/result_PwiOsA2HE2igZUel.geojson'
+border_path = 'cases/breakwaters/newdata/border_PwiOsA2HE2igZUel.geojson'
+
+
+allow_water = parse_arctic_geojson(
+    result_path=result_path,
+    border_path=border_path,
+    root_path=root_path
+)
+allow_area = [[74.80, 67.92], [74.80, 67.94]] + allow_water + [[74.80, 67.92]]
+grid_resolution_x = 17  # Number of points on x-axis
+grid_resolution_y = 31  # Number of points on y-axis
+coord_y = np.linspace(
+    min([p[1] for p in allow_area]) * 500,
+    max([p[1] for p in allow_area]) * 500,
+    grid_resolution_y + 1,
+)  # X coordinate for spatial grid
+coord_x = np.linspace(
+    min([p[0] for p in allow_area]) * 500,
+    max([p[0] for p in allow_area]) * 500,
+    grid_resolution_x + 1,
+)
+grid = [grid_resolution_x, grid_resolution_y]  # points grid
+fixed_area = None
+targets = [[10, 15], [12, 14], [14, 14], [16, 14]]
+# targets = [[i,11] for i in [10,12,14,16]]
+# WINDWIND 19.1 225
+# targets = [[14,10],[16,10],[18,10]]
+# # # Metrics # # #
+
+
+def load_file_from_path(path: str):
+    """Func to load pickle file.
+
+    :param path:
+    :return:
+    """
+    with open(path, "rb") as f:
+        _file = pickle.load(f)
+        f.close()
+
+    return _file
+
+
+# # # Precompute domain arguments # # #
+
+pass
+
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        (min(coord_x), min(coord_y)),
+        (min(coord_x), max(coord_y)),
+        (max(coord_x), max(coord_y)),
+        (max(coord_x), min(coord_y)),
+        (min(coord_x), min(coord_y)),
+    ],
+    name="main",
+    min_poly_num=1,
+    max_poly_num=4,
+    min_points_num=3,
+    max_points_num=4,
+    polygon_side=0.0001,
+    min_dist_from_boundary=0.0001,
+    geometry_is_convex=False,
+    geometry_is_closed=False,
+    geometry="2D",
+)
+
+tuner_cfg = TunerParams(
+    tuner_type="sequential",
+    n_steps_tune=25,
+    hyperopt_dist="uniform",
+    verbose=True,
+    timeout_minutes=60,
+)
+# # # Estimator # # #
+path_ = f"{root_path}/cases/breakwaters/ob2_upd/"
+swan_estimator = Swan(
+    targets=targets,
+    domain=domain_cfg,
+    grid=grid,
+    path=path_,
+    hs_file_path="results/HSig_ob_example.dat",
+)
+# # # # # #
+
+
+class BreakWatersFitness(Objective):
+    """Class to init Objective for BreakWater case."""
+    def __init__(self, domain, estimator):
+        super().__init__(domain, estimator)
+        self.estimator = estimator
+
+    def _evaluate(self, ind: Structure):
+        fitness = self.estimator(ind)
+        return fitness
+
+
+estimator = BreakWatersFitness(domain_cfg, swan_estimator)
+opt_params = OptimizationParams(
+    optimizer="gefest_ga",
+    domain=domain_cfg,
+    tuner_cfg=tuner_cfg,
+    n_steps=4,
+    pop_size=10,
+    postprocess_attempts=15,
+    mutation_prob=0.6,
+    crossover_prob=0.6,
+    mutations=[
+        "rotate_poly",
+        "resize_poly",
+        "add_point",
+        "drop_point",
+        "add_poly",
+        "drop_poly",
+        "pos_change_point",
+    ],
+    selector="tournament_selection",
+    mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+    crossovers=[
+        "polygon_level",
+        "structure_level",
+    ],
+    crossover_each_prob=[0.0, 1.0],
+    postprocess_rules=[
+        "not_out_of_bounds",
+        "valid_polygon_geom",
+        "not_self_intersects",
+        "not_too_close_polygons",
+        # 'not_overlaps_prohibited',
+        "not_too_close_points",
+    ],
+    extra=4,
+    n_jobs=-1,
+    log_dir="logs",
+    run_name="run_name",
+    golem_keep_histoy=False,
+    golem_genetic_scheme_type="steady_state",
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        estimator,
+    ],
+)
diff --git a/cases/breakwaters/breakwaters_utils.py b/cases/breakwaters/breakwaters_utils.py
new file mode 100644
index 000000000..19a449734
--- /dev/null
+++ b/cases/breakwaters/breakwaters_utils.py
@@ -0,0 +1,28 @@
+import json
+
+# import numpy as np
+# from shapely.geometry import shape
+
+
+def parse_arctic_geojson(result_path, border_path, root_path):
+    """Function for parsing data for breakwaters case.
+
+    :param result_path: path to result data
+    :param border_path:  path to border info data
+    :param root_path:  root path
+    :return:
+    """
+    with open(
+        f"{root_path}/{result_path}", "r"
+    ) as file:
+        res_list = json.load(file)
+
+    water = [i for i in res_list["features"] if i["properties"]["type"] == "water"]
+    water_coord = [p["geometry"]["coordinates"] for p in water]
+    allow_water = [
+        i
+        for i in water_coord[0][0]
+        if (i[0] > 74.8) and (i[1] < 67.942) and (i[1] > 67.915)
+    ]
+
+    return allow_water
diff --git a/cases/breakwaters/main.py b/cases/breakwaters/main.py
deleted file mode 100644
index a05b40288..000000000
--- a/cases/breakwaters/main.py
+++ /dev/null
@@ -1,42 +0,0 @@
-import timeit
-
-from gefest.core.opt.gen_design import design
-from cases.breakwaters.configuration_de import bw_domain
-from cases.breakwaters.configuration_spea2 import bw_optimizer, bw_sampler, bw_estimator
-from cases.main_conf import opt_params
-
-# If the value is False, pretrained models will be selected
-# otherwise put path to your model
-opt_params.path_to_sim = False
-opt_params.path_to_sur = False
-
-# ------------
-# GEFEST tools configuration
-# ------------
-domain, task_setup = bw_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                  points_num=opt_params.n_points,
-                                                  is_closed=opt_params.is_closed)
-
-estimator = bw_estimator.configurate_estimator(domain=domain,
-                                               path_sim=opt_params.path_to_sim)
-
-sampler = bw_sampler.configurate_sampler(domain=domain)
-
-optimizer = bw_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                               crossover_rate=opt_params.c_rate,
-                                               mutation_rate=opt_params.m_rate,
-                                               task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer,
-                       extra=True)
-spend_time = timeit.default_timer() - start
-print(f'spent time {spend_time} sec')
diff --git a/cases/breakwaters/newdata/border_PwiOsA2HE2igZUel.geojson b/cases/breakwaters/newdata/border_PwiOsA2HE2igZUel.geojson
new file mode 100644
index 000000000..72c8423b3
--- /dev/null
+++ b/cases/breakwaters/newdata/border_PwiOsA2HE2igZUel.geojson
@@ -0,0 +1 @@
+{"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[74.81798968,67.93215759],[74.81798995,67.93215759],[74.8194412,67.93211759],[74.81944121,67.93211759],[74.81944121,67.93211759],[74.82586478,67.93194054],[74.82586523,67.93194051],[74.82586967,67.93194005],[74.82587049,67.9319399],[74.82587414,67.93193885],[74.82587474,67.93193859],[74.82587706,67.93193709],[74.82587736,67.93193676],[74.825878,67.93193505],[74.82587802,67.93193488],[74.82581336,67.93149107],[74.82977234,67.93138194],[74.8297728,67.93138191],[74.82977723,67.93138146],[74.82977806,67.9313813],[74.8297817,67.93138025],[74.82978231,67.93137999],[74.82978462,67.9313785],[74.82978493,67.93137817],[74.82978556,67.93137646],[74.82978558,67.93137628],[74.82951015,67.92948781],[74.82951008,67.92948763],[74.8295089,67.92948592],[74.82950849,67.9294856],[74.82950564,67.92948419],[74.82950522,67.92948405],[74.82922587,67.9275387],[74.82922587,67.9275387],[74.82922587,67.92753865],[74.82922587,67.92753865],[74.82921124,67.92745329],[74.82921124,67.92745329],[74.82921123,67.92745324],[74.82921123,67.92745324],[74.82824882,67.92256293],[74.82824874,67.92256275],[74.82824858,67.92256254],[74.82795309,67.92106018],[74.82795301,67.92106001],[74.82795177,67.92105832],[74.82795135,67.92105801],[74.82794849,67.92105663],[74.82794778,67.9210564],[74.82794374,67.92105554],[74.82794286,67.92105543],[74.82793824,67.92105521],[74.82793778,67.92105521],[74.82397911,67.92116436],[74.82397865,67.92116439],[74.82397416,67.92116486],[74.82397333,67.92116502],[74.82397328,67.92116503],[74.82397318,67.92116501],[74.8239723,67.9211649],[74.82396768,67.92116469],[74.82396722,67.92116468],[74.81754797,67.92134168],[74.81754771,67.92134167],[74.81609737,67.92138166],[74.81609737,67.92138166],[74.8173539,67.9277831],[74.81798968,67.93215759]]]},"properties":{"type":"boundary"}}]}
\ No newline at end of file
diff --git a/cases/breakwaters/newdata/landscape_PwiOsA2HE2igZUel.csv b/cases/breakwaters/newdata/landscape_PwiOsA2HE2igZUel.csv
new file mode 100644
index 000000000..5a8d90930
--- /dev/null
+++ b/cases/breakwaters/newdata/landscape_PwiOsA2HE2igZUel.csv
@@ -0,0 +1,628 @@
+lat, lon, elevation, xIndex, yIndex
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diff --git a/cases/breakwaters/newdata/result_PwiOsA2HE2igZUel.geojson b/cases/breakwaters/newdata/result_PwiOsA2HE2igZUel.geojson
new file mode 100644
index 000000000..5ffff8cfe
--- /dev/null
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@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/cases/breakwaters/ob2_upd/INPUT b/cases/breakwaters/ob2_upd/INPUT
new file mode 100644
index 000000000..ddd75510f
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/INPUT
@@ -0,0 +1,56 @@
+$***********MODEL INPUT*********************************
+SET NAUTical
+MODE NONSTationary TWODimensional
+COORDinates spherical
+
+CGRID REGular xpc=74.70350703505787  ypc=67.88206697110601 alpc=0. &
+                  xlenc=0.128969 ylenc=0.086128 mxc=17 myc=31 &
+                  CIRCLE mdc=36 flow=0.05 fhigh=1. msc=25
+
+INPgrid BOTtom REGular xpinp=74.70350703505787  ypinp=67.88206697110601 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071370458 dyinp=0.0026897599 EXCeption -9
+READinp BOTtom fac=1 'data\bathy.bot' idla=1 0 FREE
+
+
+
+INPgrid WIND  REGular xpinp=74.70350703505787  ypinp=67.88206697110601 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071370458 dyinp=0.0026897599  &
+NONSTATIONARY 20180101.000000 6 HR 20180103.230000
+READinp WIND fac=1.21 SERIES 'data\wind_inventory.txt' 1 0 1 0 FREE
+
+BOUnd SHAPespec JONswap 3.3 PEAK DSPR DEGRees
+
+
+
+OBSTACLE TRANSM 0. REFL 0. LINE 74.816568, 67.917807, 74.814523, 67.940433, 74.801762, 67.918330
+$optline
+
+
+GEN3 ST6 6.5E-6 8.5E-5 4.0 4.0 UP HWANG VECTAU U10PROXY 35.0 AGROW 
+BREAKING
+FRiction JONswap CONstant 0.067
+TRIAD
+DIFFRACtion
+ PROP BSBT
+QUANTity  Per short='Tm-1,0' power=0.
+
+
+
+OUTPUT OPTIONS '%' TABLE 16 BLOCK 6 18
+
+BLOCK 'COMPGRID' NOHEAD 'results\HSig_ob_example.dat' LAYOUT 1 HSig OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\PDIR_ob_example.dat' LAYOUT 1 PDIR OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\RTP_ob_example.dat' LAYOUT 1 RTP OUT 20180102.000000 1. HR
+
+
+
+
+
+
+
+
+COMPUTE NONSTat 20180101.000000 10 MIN 20180103.230000
+
+STOP
diff --git a/cases/breakwaters/ob2_upd/INPUT_2 b/cases/breakwaters/ob2_upd/INPUT_2
new file mode 100644
index 000000000..f31f3cd5c
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/INPUT_2
@@ -0,0 +1,59 @@
+$***********MODEL INPUT*********************************
+SET NAUTical
+MODE NONSTationary TWODimensional
+COORDinates spherical
+
+CGRID REGular xpc=74.70350703505787  ypc=67.88206697110601 alpc=0. &
+                  xlenc=0.128969 ylenc=0.086128 mxc=17 myc=31 &
+                  CIRCLE mdc=36 flow=0.05 fhigh=1. msc=25
+
+INPgrid BOTtom REGular xpinp=74.70350703505787  ypinp=67.88206697110601 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071370458 dyinp=0.0026897599 EXCeption -9
+READinp BOTtom fac=1 'data\bathy.bot' idla=1 0 FREE
+
+
+
+INPgrid WIND  REGular xpinp=74.70350703505787  ypinp=67.88206697110601 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071370458 dyinp=0.0026897599  &
+NONSTATIONARY 20180101.000000 6 HR 20180103.230000
+READinp WIND fac=1.21 SERIES 'data\wind_inventory.txt' 1 0 1 0 FREE
+
+BOUnd SHAPespec JONswap 3.3 PEAK DSPR DEGRees
+
+
+
+OBSTACLE TRANSM
+
+$optline
+
+
+
+
+GEN3 ST6 6.5E-6 8.5E-5 4.0 4.0 UP HWANG VECTAU U10PROXY 35.0 AGROW 
+BREAKING
+FRiction JONswap CONstant 0.067
+TRIAD
+DIFFRACtion
+ PROP BSBT
+QUANTity  Per short='Tm-1,0' power=0.
+
+
+
+OUTPUT OPTIONS '%' TABLE 16 BLOCK 6 18
+
+BLOCK 'COMPGRID' NOHEAD 'results\HSig_ob_example.dat' LAYOUT 1 HSig OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\PDIR_ob_example.dat' LAYOUT 1 PDIR OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\RTP_ob_example.dat' LAYOUT 1 RTP OUT 20180102.000000 1. HR
+
+
+
+
+
+
+
+
+COMPUTE NONSTat 20180101.000000 10 MIN 20180103.230000
+
+STOP
diff --git a/cases/breakwaters/ob2_upd/PRINT b/cases/breakwaters/ob2_upd/PRINT
new file mode 100644
index 000000000..ce6cc1dcd
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/PRINT
@@ -0,0 +1,1929 @@
+1
+
+                    Execution started at 20231114.175653         
+
+
+
+                    ---------------------------------------
+                                     SWAN
+                    SIMULATION OF WAVES IN NEAR SHORE AREAS
+                             VERSION NUMBER 41.31A              
+                    ---------------------------------------
+
+
+    
+ $***********MODEL INPUT*********************************
+    
+ SET NAUTical
+    
+ MODE NONSTationary TWODimensional
+    
+ COORDinates spherical
+    
+ 
+    
+ CGRID REGular xpc=74.70350703505787  ypc=67.88206697110601 alpc=0. &
+                   xlenc=0.128969 ylenc=0.086128 mxc=17 myc=31 &
+                   CIRCLE mdc=36 flow=0.05 fhigh=1. msc=25
+ Resolution in sigma-space: df/f =  0.1273
+    
+ 
+    
+ INPgrid BOTtom REGular xpinp=74.70350703505787  ypinp=67.88206697110601 &
+                 alpinp=0. mxinp=17 myinp=31 &
+                 dxinp=0.0071370458 dyinp=0.0026897599 EXCeption -9
+    
+ READinp BOTtom fac=1 'data\bathy.bot' idla=1 0 FREE
+    
+ 
+    
+ 
+    
+ 
+    
+ INPgrid WIND  REGular xpinp=74.70350703505787  ypinp=67.88206697110601 &
+                 alpinp=0. mxinp=17 myinp=31 &
+                 dxinp=0.0071370458 dyinp=0.0026897599  &
+ NONSTATIONARY 20180101.000000 6 HR 20180103.230000
+ ** Warning          : [deltinp] is not a fraction of the period
+    
+ READinp WIND fac=1.21 SERIES 'data\wind_inventory.txt' 1 0 1 0 FREE
+ **  Heading lines  **
+ -> 20180101.000000                                                                 
+    
+ 
+    
+ BOUnd SHAPespec JONswap 3.3 PEAK DSPR DEGRees
+    
+ 
+    
+ 
+    
+ 
+    
+ OBSTACLE TRANSM 0. REFL 0. LINE 74.816568, 67.917807, 74.814523, 67.940433, 74.801762, 67.918330
+    
+ $optline
+    
+ 
+    
+ 
+    
+ GEN3 ST6 6.5E-6 8.5E-5 4.0 4.0 UP HWANG VECTAU U10PROXY 35.0 AGROW
+    
+ BREAKING
+    
+ FRiction JONswap CONstant 0.067
+    
+ TRIAD
+    
+ DIFFRACtion
+    
+  PROP BSBT
+    
+ QUANTity  Per short='Tm-1,0' power=0.
+    
+ 
+    
+ 
+    
+ 
+    
+ OUTPUT OPTIONS '%' TABLE 16 BLOCK 6 18
+    
+ 
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\HSig_ob_example.dat' LAYOUT 1 HSig OUT 20180102.000000 1. HR
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\PDIR_ob_example.dat' LAYOUT 1 PDIR OUT 20180102.000000 1. HR
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\RTP_ob_example.dat' LAYOUT 1 RTP OUT 20180102.000000 1. HR
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ COMPUTE NONSTat 20180101.000000 10 MIN 20180103.230000
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.70     67.97
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.83     67.88
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.83     67.97
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_02  coordinates:     74.83     67.88
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_03  coordinates:     74.83     67.97
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_04  coordinates:     74.70     67.97
+ Time of computation ->  20180101.001000      in sec:        600.
+ **  Heading lines  **
+ -> 20180101.060000                                                                 
+
+----------------------------------------------------------------
+                  COMPUTATIONAL PART OF SWAN
+----------------------------------------------------------------
+
+ Gridresolution       : MXC              18 MYC             32
+                      : MCGRD           483
+                      : MSC              26 MDC             36
+                      : MTC             426
+                      : NSTATC            1 ITERMX           1
+ Propagation flags    : ITFRE             1 IREFR            1
+ Source term flags    : IBOT              1 ISURF            1
+                      : IWCAP             8 IWIND            8
+                      : ITRIAD           11 IQUAD            2
+                      : IVEG              0 ITURBV           0
+                      : IMUD              0 IICE             0
+ Spatial step         : DX       0.7586E-02 DY      0.2778E-02
+ Spectral bin         : df/f     0.1273E+00 DDIR    0.1000E+02
+ Physical constants   : GRAV     0.9810E+01 RHO     0.1025E+04
+ Wind input           : WSPEED   0.0000E+00 DIR     0.0000E+00
+                      : ICEWIND  0.00
+ Tail parameters      : E(f)     0.4000E+01 E(k)    0.2500E+01
+                      : A(f)     0.5000E+01 A(k)    0.3000E+01
+ Accuracy parameters  : DREL     0.1000E-01 NPNTS   0.9950E+02
+                      : DHABS    0.5000E-02 CURVAT  0.5000E-02
+                      : GRWMX    0.1000E+00
+ Drying/flooding      : LEVEL    0.0000E+00 DEPMIN  0.5000E-01
+ The nautical  convention for wind and wave directions is used
+ Scheme for geographic propagation is BSBT  
+ Scheme geogr. space  : PROPSC            1 ICMAX            5
+ Scheme spectral space: CSS      0.5000E+00 CDD     0.5000E+00
+ Current is off
+ Quadruplets          : IQUAD             2
+                      : LAMBDA   0.2500E+00 CNL4    0.3000E+08
+                      : CSH1     0.5500E+01 CSH2    0.8330E+00
+                      : CSH3    -0.1250E+01
+ Maximum Ursell nr for Snl4 :    0.1000E+02
+ Triads               : ITRIAD           11 TRFAC   0.5000E-01
+                      : CUTFR    0.2500E+01 URCRI   0.2000E+00
+ Minimum Ursell nr for Snl3 :    0.1000E-01
+ JONSWAP (`73)        : GAMMA    0.6700E-01
+ Vegetation is off
+ Turbulence is off
+ Fluid mud is off
+ Dissipation by sea ice is off
+ W-cap Babanin        : A1       0.6500E-05 A2      0.8500E-04
+                      : P1       0.4000E+01 P2      0.4000E+01
+                      : CDSV     0.1200E+01
+ Babanin Sds:  concave up behavior   :   T
+ DBYB Sin: tau calculated from vector:   T
+ DBYB Sin: true U10 used             :   F
+ DBYB Sin: U10PROXY =   35.0 * Ustar
+ DBYB Sin: factor on Cdrag to counter wind bias: 1.000
+ Wind drag is Hwang
+ DBYB/Tsagareli/Rogers wind input
+ Battjes&Janssen (`78): ALPHA    0.1000E+01 GAMMA   0.7300E+00
+ Set-up is off
+ Diffraction          : SMPAR    0.0000E+00 SMNUM            0
+ Janssen (`89,`90)    : ALPHA    0.1000E-01 KAPPA   0.4100E+00
+ Janssen (`89,`90)    : RHOA     0.1280E+01 RHOW    0.1025E+04
+ 
+ 1st and 2nd gen. wind: CF10     0.1880E+03 CF20    0.5900E+00
+                      : CF30     0.1200E+00 CF40    0.2500E+03
+                      : CF50     0.2300E-02 CF60   -0.2230E+00
+                      : CF70     0.0000E+00 CF80   -0.5600E+00
+                      : RHOAW    0.1249E-02 EDMLPM  0.3600E-02
+                      : CDRAG    0.1230E-02 UMIN    0.1000E+01
+                      : LIM_PM   0.1300E+00
+ 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.002000      in sec:       1200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.003000      in sec:       1800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.004000      in sec:       2400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.005000      in sec:       3000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.010000      in sec:       3600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.011000      in sec:       4200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.012000      in sec:       4800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.013000      in sec:       5400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.014000      in sec:       6000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.015000      in sec:       6600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.020000      in sec:       7200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.021000      in sec:       7800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.022000      in sec:       8400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.023000      in sec:       9000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.024000      in sec:       9600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.025000      in sec:      10200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.030000      in sec:      10800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.031000      in sec:      11400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.032000      in sec:      12000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.033000      in sec:      12600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.034000      in sec:      13200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.035000      in sec:      13800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.040000      in sec:      14400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.041000      in sec:      15000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.042000      in sec:      15600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.043000      in sec:      16200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.044000      in sec:      16800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.045000      in sec:      17400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.050000      in sec:      18000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.051000      in sec:      18600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.052000      in sec:      19200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.053000      in sec:      19800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.054000      in sec:      20400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.055000      in sec:      21000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.060000      in sec:      21600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.061000      in sec:      22200.
+ **  Heading lines  **
+ -> 20180101.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.062000      in sec:      22800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.063000      in sec:      23400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.064000      in sec:      24000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.065000      in sec:      24600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.070000      in sec:      25200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.071000      in sec:      25800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.072000      in sec:      26400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.073000      in sec:      27000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.074000      in sec:      27600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.075000      in sec:      28200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.080000      in sec:      28800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.081000      in sec:      29400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.082000      in sec:      30000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.083000      in sec:      30600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.084000      in sec:      31200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.085000      in sec:      31800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.090000      in sec:      32400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.091000      in sec:      33000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.092000      in sec:      33600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.093000      in sec:      34200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.094000      in sec:      34800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.095000      in sec:      35400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.100000      in sec:      36000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.101000      in sec:      36600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.102000      in sec:      37200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.103000      in sec:      37800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.104000      in sec:      38400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.105000      in sec:      39000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.110000      in sec:      39600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.111000      in sec:      40200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.112000      in sec:      40800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.113000      in sec:      41400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.114000      in sec:      42000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.115000      in sec:      42600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.120000      in sec:      43200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.121000      in sec:      43800.
+ **  Heading lines  **
+ -> 20180101.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.122000      in sec:      44400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.123000      in sec:      45000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.124000      in sec:      45600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.125000      in sec:      46200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.130000      in sec:      46800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.131000      in sec:      47400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.132000      in sec:      48000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.133000      in sec:      48600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.134000      in sec:      49200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.135000      in sec:      49800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.140000      in sec:      50400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.141000      in sec:      51000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.142000      in sec:      51600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.143000      in sec:      52200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.144000      in sec:      52800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.145000      in sec:      53400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.150000      in sec:      54000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.151000      in sec:      54600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.152000      in sec:      55200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.153000      in sec:      55800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.154000      in sec:      56400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.155000      in sec:      57000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.160000      in sec:      57600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.161000      in sec:      58200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.162000      in sec:      58800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.163000      in sec:      59400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.164000      in sec:      60000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.165000      in sec:      60600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.170000      in sec:      61200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.171000      in sec:      61800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.172000      in sec:      62400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.173000      in sec:      63000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.174000      in sec:      63600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.175000      in sec:      64200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.180000      in sec:      64800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.181000      in sec:      65400.
+ **  Heading lines  **
+ -> 20180102.000000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.182000      in sec:      66000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.183000      in sec:      66600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.184000      in sec:      67200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.185000      in sec:      67800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.190000      in sec:      68400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.191000      in sec:      69000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.192000      in sec:      69600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.193000      in sec:      70200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.194000      in sec:      70800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.195000      in sec:      71400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.200000      in sec:      72000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.201000      in sec:      72600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.202000      in sec:      73200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.203000      in sec:      73800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.204000      in sec:      74400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.205000      in sec:      75000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.210000      in sec:      75600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.211000      in sec:      76200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.212000      in sec:      76800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.213000      in sec:      77400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.214000      in sec:      78000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.215000      in sec:      78600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.220000      in sec:      79200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.221000      in sec:      79800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.222000      in sec:      80400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.223000      in sec:      81000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.224000      in sec:      81600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.225000      in sec:      82200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.230000      in sec:      82800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.231000      in sec:      83400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.232000      in sec:      84000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.233000      in sec:      84600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.234000      in sec:      85200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.235000      in sec:      85800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.000000      in sec:      86400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.001000      in sec:      87000.
+ **  Heading lines  **
+ -> 20180102.060000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.002000      in sec:      87600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.003000      in sec:      88200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.004000      in sec:      88800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.005000      in sec:      89400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.010000      in sec:      90000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.011000      in sec:      90600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.012000      in sec:      91200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.013000      in sec:      91800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.014000      in sec:      92400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.015000      in sec:      93000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.020000      in sec:      93600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.021000      in sec:      94200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.022000      in sec:      94800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.023000      in sec:      95400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.024000      in sec:      96000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.025000      in sec:      96600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.030000      in sec:      97200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.031000      in sec:      97800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.032000      in sec:      98400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.033000      in sec:      99000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.034000      in sec:      99600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.035000      in sec:     100200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.040000      in sec:     100800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.041000      in sec:     101400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.042000      in sec:     102000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.043000      in sec:     102600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.044000      in sec:     103200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.045000      in sec:     103800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.050000      in sec:     104400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.051000      in sec:     105000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.052000      in sec:     105600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.053000      in sec:     106200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.054000      in sec:     106800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.055000      in sec:     107400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.060000      in sec:     108000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.061000      in sec:     108600.
+ **  Heading lines  **
+ -> 20180102.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.062000      in sec:     109200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.063000      in sec:     109800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.064000      in sec:     110400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.065000      in sec:     111000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.070000      in sec:     111600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.071000      in sec:     112200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.072000      in sec:     112800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.073000      in sec:     113400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.074000      in sec:     114000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.075000      in sec:     114600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.080000      in sec:     115200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.081000      in sec:     115800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.082000      in sec:     116400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.083000      in sec:     117000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.084000      in sec:     117600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.085000      in sec:     118200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.090000      in sec:     118800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.091000      in sec:     119400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.092000      in sec:     120000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.093000      in sec:     120600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.094000      in sec:     121200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.095000      in sec:     121800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.100000      in sec:     122400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.101000      in sec:     123000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.102000      in sec:     123600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.103000      in sec:     124200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.104000      in sec:     124800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.105000      in sec:     125400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.110000      in sec:     126000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.111000      in sec:     126600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.112000      in sec:     127200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.113000      in sec:     127800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.114000      in sec:     128400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.115000      in sec:     129000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.120000      in sec:     129600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.121000      in sec:     130200.
+ **  Heading lines  **
+ -> 20180102.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.122000      in sec:     130800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.123000      in sec:     131400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.124000      in sec:     132000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.125000      in sec:     132600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.130000      in sec:     133200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.131000      in sec:     133800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.132000      in sec:     134400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.133000      in sec:     135000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.134000      in sec:     135600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.135000      in sec:     136200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.140000      in sec:     136800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.141000      in sec:     137400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.142000      in sec:     138000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.143000      in sec:     138600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.144000      in sec:     139200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.145000      in sec:     139800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.150000      in sec:     140400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.151000      in sec:     141000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.152000      in sec:     141600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.153000      in sec:     142200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.154000      in sec:     142800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.155000      in sec:     143400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.160000      in sec:     144000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.161000      in sec:     144600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.162000      in sec:     145200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.163000      in sec:     145800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.164000      in sec:     146400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.165000      in sec:     147000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.170000      in sec:     147600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.171000      in sec:     148200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.172000      in sec:     148800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.173000      in sec:     149400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.174000      in sec:     150000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.175000      in sec:     150600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.180000      in sec:     151200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.181000      in sec:     151800.
+ **  Heading lines  **
+ -> 20180103.000000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.182000      in sec:     152400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.183000      in sec:     153000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.184000      in sec:     153600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.185000      in sec:     154200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.190000      in sec:     154800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.191000      in sec:     155400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.192000      in sec:     156000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.193000      in sec:     156600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.194000      in sec:     157200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.195000      in sec:     157800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.200000      in sec:     158400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.201000      in sec:     159000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.202000      in sec:     159600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.203000      in sec:     160200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.204000      in sec:     160800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.205000      in sec:     161400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.210000      in sec:     162000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.211000      in sec:     162600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.212000      in sec:     163200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.213000      in sec:     163800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.214000      in sec:     164400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.215000      in sec:     165000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.220000      in sec:     165600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.221000      in sec:     166200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.222000      in sec:     166800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.223000      in sec:     167400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.224000      in sec:     168000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.225000      in sec:     168600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.230000      in sec:     169200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.231000      in sec:     169800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.232000      in sec:     170400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.233000      in sec:     171000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.234000      in sec:     171600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.235000      in sec:     172200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.000000      in sec:     172800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.001000      in sec:     173400.
+ **  Heading lines  **
+ -> 20180103.060000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.002000      in sec:     174000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.003000      in sec:     174600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.004000      in sec:     175200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.005000      in sec:     175800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.010000      in sec:     176400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.011000      in sec:     177000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.012000      in sec:     177600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.013000      in sec:     178200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.014000      in sec:     178800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.015000      in sec:     179400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.020000      in sec:     180000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.021000      in sec:     180600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.022000      in sec:     181200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.023000      in sec:     181800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.024000      in sec:     182400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.025000      in sec:     183000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.030000      in sec:     183600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.031000      in sec:     184200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.032000      in sec:     184800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.033000      in sec:     185400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.034000      in sec:     186000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.035000      in sec:     186600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.040000      in sec:     187200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.041000      in sec:     187800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.042000      in sec:     188400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.043000      in sec:     189000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.044000      in sec:     189600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.045000      in sec:     190200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.050000      in sec:     190800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.051000      in sec:     191400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.052000      in sec:     192000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.053000      in sec:     192600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.054000      in sec:     193200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.055000      in sec:     193800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.060000      in sec:     194400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.061000      in sec:     195000.
+ **  Heading lines  **
+ -> 20180103.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.062000      in sec:     195600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.063000      in sec:     196200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.064000      in sec:     196800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.065000      in sec:     197400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.070000      in sec:     198000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.071000      in sec:     198600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.072000      in sec:     199200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.073000      in sec:     199800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.074000      in sec:     200400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.075000      in sec:     201000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.080000      in sec:     201600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.081000      in sec:     202200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.082000      in sec:     202800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.083000      in sec:     203400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.084000      in sec:     204000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.085000      in sec:     204600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.090000      in sec:     205200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.091000      in sec:     205800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.092000      in sec:     206400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.093000      in sec:     207000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.094000      in sec:     207600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.095000      in sec:     208200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.100000      in sec:     208800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.101000      in sec:     209400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.102000      in sec:     210000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.103000      in sec:     210600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.104000      in sec:     211200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.105000      in sec:     211800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.110000      in sec:     212400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.111000      in sec:     213000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.112000      in sec:     213600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.113000      in sec:     214200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.114000      in sec:     214800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.115000      in sec:     215400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.120000      in sec:     216000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.121000      in sec:     216600.
+ **  Heading lines  **
+ -> 20180103.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.122000      in sec:     217200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.123000      in sec:     217800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.124000      in sec:     218400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.125000      in sec:     219000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.130000      in sec:     219600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.131000      in sec:     220200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.132000      in sec:     220800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.133000      in sec:     221400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.134000      in sec:     222000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.135000      in sec:     222600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.140000      in sec:     223200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.141000      in sec:     223800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.142000      in sec:     224400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.143000      in sec:     225000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.144000      in sec:     225600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.145000      in sec:     226200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.150000      in sec:     226800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.151000      in sec:     227400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.152000      in sec:     228000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.153000      in sec:     228600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.154000      in sec:     229200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.155000      in sec:     229800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.160000      in sec:     230400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.161000      in sec:     231000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.162000      in sec:     231600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.163000      in sec:     232200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.164000      in sec:     232800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.165000      in sec:     233400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.170000      in sec:     234000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.171000      in sec:     234600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.172000      in sec:     235200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.173000      in sec:     235800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.174000      in sec:     236400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.175000      in sec:     237000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.180000      in sec:     237600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.181000      in sec:     238200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.182000      in sec:     238800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.183000      in sec:     239400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.184000      in sec:     240000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.185000      in sec:     240600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.190000      in sec:     241200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.191000      in sec:     241800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.192000      in sec:     242400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.193000      in sec:     243000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.194000      in sec:     243600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.195000      in sec:     244200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.200000      in sec:     244800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.201000      in sec:     245400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.202000      in sec:     246000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.203000      in sec:     246600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.204000      in sec:     247200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.205000      in sec:     247800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.210000      in sec:     248400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.211000      in sec:     249000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.212000      in sec:     249600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.213000      in sec:     250200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.214000      in sec:     250800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.215000      in sec:     251400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.220000      in sec:     252000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.221000      in sec:     252600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.222000      in sec:     253200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.223000      in sec:     253800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.224000      in sec:     254400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.225000      in sec:     255000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.230000      in sec:     255600.
+ not possible to compute, first iteration
+
+ 
+    
+ 
+    
+ STOP
diff --git a/cases/breakwaters/ob2_upd/config.prt b/cases/breakwaters/ob2_upd/config.prt
new file mode 100644
index 000000000..a6507d96c
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/config.prt
@@ -0,0 +1,1919 @@
+1
+
+                    Execution started at 20231023.152206         
+
+
+
+                    ---------------------------------------
+                                     SWAN
+                    SIMULATION OF WAVES IN NEAR SHORE AREAS
+                             VERSION NUMBER 41.31A              
+                    ---------------------------------------
+
+
+    
+ $***********MODEL INPUT*********************************
+    
+ $
+    
+ SET NAUTical
+    
+ MODE NONSTationary TWODimensional
+    
+ COORDinates spherical
+    
+ 
+    
+ CGRID REGular xpc=74.70452573998112  ypc=67.88356662593489 alpc=0. &
+                   xlenc=0.128978 ylenc=0.086128 mxc=17 myc=31 &
+                   CIRCLE mdc=36 flow=0.05 fhigh=1. msc=25
+ Resolution in sigma-space: df/f =  0.1273
+    
+ 
+    
+ INPgrid BOTtom REGular xpinp=74.70452573998112  ypinp=67.88356662593489 &
+                 alpinp=0. mxinp=17 myinp=31 &
+                 dxinp=0.0071375050 dyinp=0.0026897594 EXCeption -9
+    
+ READinp BOTtom fac=1 'data\bathy.bot' idla=1 0 FREE
+    
+ 
+    
+ INPgrid WIND  REGular xpinp=74.70452573998112  ypinp=67.88356662593489 &
+                 alpinp=0. mxinp=17 myinp=31 &
+                 dxinp=0.0071375050 dyinp=0.0026897594  &
+ NONSTATIONARY 20180101.000000 6 HR 20180103.230000
+ ** Warning          : [deltinp] is not a fraction of the period
+    
+ READinp WIND fac=1.21 SERIES 'data\wind_inventory.txt' 1 0 1 0 FREE
+ **  Heading lines  **
+ -> 20180101.000000                                                                 
+    
+ 
+    
+ BOUnd SHAPespec JONswap 3.3 PEAK DSPR DEGRees
+    
+ 
+    
+ 
+    
+ 
+    
+ GEN3 ST6 6.5E-6 8.5E-5 4.0 4.0 UP HWANG VECTAU U10PROXY 35.0 AGROW
+    
+ BREAKING
+    
+ FRiction JONswap CONstant 0.067
+    
+ TRIAD
+    
+ DIFFRACtion
+    
+  PROP BSBT
+    
+ QUANTity  Per short='Tm-1,0' power=0.
+    
+ 
+    
+ 
+    
+ 
+    
+ OUTPUT OPTIONS '%' TABLE 16 BLOCK 6 18
+    
+ 
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\HSig_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 HSig OUT 20180102.000000 1. HR
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\PDIR_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 PDIR OUT 20180102.000000 1. HR
+    
+ BLOCK 'COMPGRID' NOHEAD 'results\RTP_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 RTP OUT 20180102.000000 1. HR
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ 
+    
+ COMPUTE NONSTat 20180101.000000 10 MIN 20180103.230000
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.70     67.97
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.83     67.88
+ ** Warning          : Corner of comp grid outside bottom grid
+ Coordinates :     74.83     67.97
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_02  coordinates:     74.83     67.88
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_03  coordinates:     74.83     67.97
+ ** Warning          : (corner)point outside bottom grid
+       Set of output locations: BOUND_04  coordinates:     74.70     67.97
+ Time of computation ->  20180101.001000      in sec:        600.
+ **  Heading lines  **
+ -> 20180101.060000                                                                 
+
+----------------------------------------------------------------
+                  COMPUTATIONAL PART OF SWAN
+----------------------------------------------------------------
+
+ Gridresolution       : MXC              18 MYC             32
+                      : MCGRD           483
+                      : MSC              26 MDC             36
+                      : MTC             426
+                      : NSTATC            1 ITERMX           1
+ Propagation flags    : ITFRE             1 IREFR            1
+ Source term flags    : IBOT              1 ISURF            1
+                      : IWCAP             8 IWIND            8
+                      : ITRIAD           11 IQUAD            2
+                      : IVEG              0 ITURBV           0
+                      : IMUD              0 IICE             0
+ Spatial step         : DX       0.7587E-02 DY      0.2778E-02
+ Spectral bin         : df/f     0.1273E+00 DDIR    0.1000E+02
+ Physical constants   : GRAV     0.9810E+01 RHO     0.1025E+04
+ Wind input           : WSPEED   0.0000E+00 DIR     0.0000E+00
+                      : ICEWIND  0.00
+ Tail parameters      : E(f)     0.4000E+01 E(k)    0.2500E+01
+                      : A(f)     0.5000E+01 A(k)    0.3000E+01
+ Accuracy parameters  : DREL     0.1000E-01 NPNTS   0.9950E+02
+                      : DHABS    0.5000E-02 CURVAT  0.5000E-02
+                      : GRWMX    0.1000E+00
+ Drying/flooding      : LEVEL    0.0000E+00 DEPMIN  0.5000E-01
+ The nautical  convention for wind and wave directions is used
+ Scheme for geographic propagation is BSBT  
+ Scheme geogr. space  : PROPSC            1 ICMAX            5
+ Scheme spectral space: CSS      0.5000E+00 CDD     0.5000E+00
+ Current is off
+ Quadruplets          : IQUAD             2
+                      : LAMBDA   0.2500E+00 CNL4    0.3000E+08
+                      : CSH1     0.5500E+01 CSH2    0.8330E+00
+                      : CSH3    -0.1250E+01
+ Maximum Ursell nr for Snl4 :    0.1000E+02
+ Triads               : ITRIAD           11 TRFAC   0.5000E-01
+                      : CUTFR    0.2500E+01 URCRI   0.2000E+00
+ Minimum Ursell nr for Snl3 :    0.1000E-01
+ JONSWAP (`73)        : GAMMA    0.6700E-01
+ Vegetation is off
+ Turbulence is off
+ Fluid mud is off
+ Dissipation by sea ice is off
+ W-cap Babanin        : A1       0.6500E-05 A2      0.8500E-04
+                      : P1       0.4000E+01 P2      0.4000E+01
+                      : CDSV     0.1200E+01
+ Babanin Sds:  concave up behavior   :   T
+ DBYB Sin: tau calculated from vector:   T
+ DBYB Sin: true U10 used             :   F
+ DBYB Sin: U10PROXY =   35.0 * Ustar
+ DBYB Sin: factor on Cdrag to counter wind bias: 1.000
+ Wind drag is Hwang
+ DBYB/Tsagareli/Rogers wind input
+ Battjes&Janssen (`78): ALPHA    0.1000E+01 GAMMA   0.7300E+00
+ Set-up is off
+ Diffraction          : SMPAR    0.0000E+00 SMNUM            0
+ Janssen (`89,`90)    : ALPHA    0.1000E-01 KAPPA   0.4100E+00
+ Janssen (`89,`90)    : RHOA     0.1280E+01 RHOW    0.1025E+04
+ 
+ 1st and 2nd gen. wind: CF10     0.1880E+03 CF20    0.5900E+00
+                      : CF30     0.1200E+00 CF40    0.2500E+03
+                      : CF50     0.2300E-02 CF60   -0.2230E+00
+                      : CF70     0.0000E+00 CF80   -0.5600E+00
+                      : RHOAW    0.1249E-02 EDMLPM  0.3600E-02
+                      : CDRAG    0.1230E-02 UMIN    0.1000E+01
+                      : LIM_PM   0.1300E+00
+ 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.002000      in sec:       1200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.003000      in sec:       1800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.004000      in sec:       2400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.005000      in sec:       3000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.010000      in sec:       3600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.011000      in sec:       4200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.012000      in sec:       4800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.013000      in sec:       5400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.014000      in sec:       6000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.015000      in sec:       6600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.020000      in sec:       7200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.021000      in sec:       7800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.022000      in sec:       8400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.023000      in sec:       9000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.024000      in sec:       9600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.025000      in sec:      10200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.030000      in sec:      10800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.031000      in sec:      11400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.032000      in sec:      12000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.033000      in sec:      12600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.034000      in sec:      13200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.035000      in sec:      13800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.040000      in sec:      14400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.041000      in sec:      15000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.042000      in sec:      15600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.043000      in sec:      16200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.044000      in sec:      16800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.045000      in sec:      17400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.050000      in sec:      18000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.051000      in sec:      18600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.052000      in sec:      19200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.053000      in sec:      19800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.054000      in sec:      20400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.055000      in sec:      21000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.060000      in sec:      21600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.061000      in sec:      22200.
+ **  Heading lines  **
+ -> 20180101.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.062000      in sec:      22800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.063000      in sec:      23400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.064000      in sec:      24000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.065000      in sec:      24600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.070000      in sec:      25200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.071000      in sec:      25800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.072000      in sec:      26400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.073000      in sec:      27000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.074000      in sec:      27600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.075000      in sec:      28200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.080000      in sec:      28800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.081000      in sec:      29400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.082000      in sec:      30000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.083000      in sec:      30600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.084000      in sec:      31200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.085000      in sec:      31800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.090000      in sec:      32400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.091000      in sec:      33000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.092000      in sec:      33600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.093000      in sec:      34200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.094000      in sec:      34800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.095000      in sec:      35400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.100000      in sec:      36000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.101000      in sec:      36600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.102000      in sec:      37200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.103000      in sec:      37800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.104000      in sec:      38400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.105000      in sec:      39000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.110000      in sec:      39600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.111000      in sec:      40200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.112000      in sec:      40800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.113000      in sec:      41400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.114000      in sec:      42000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.115000      in sec:      42600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.120000      in sec:      43200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.121000      in sec:      43800.
+ **  Heading lines  **
+ -> 20180101.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.122000      in sec:      44400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.123000      in sec:      45000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.124000      in sec:      45600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.125000      in sec:      46200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.130000      in sec:      46800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.131000      in sec:      47400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.132000      in sec:      48000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.133000      in sec:      48600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.134000      in sec:      49200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.135000      in sec:      49800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.140000      in sec:      50400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.141000      in sec:      51000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.142000      in sec:      51600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.143000      in sec:      52200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.144000      in sec:      52800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.145000      in sec:      53400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.150000      in sec:      54000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.151000      in sec:      54600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.152000      in sec:      55200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.153000      in sec:      55800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.154000      in sec:      56400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.155000      in sec:      57000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.160000      in sec:      57600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.161000      in sec:      58200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.162000      in sec:      58800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.163000      in sec:      59400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.164000      in sec:      60000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.165000      in sec:      60600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.170000      in sec:      61200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.171000      in sec:      61800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.172000      in sec:      62400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.173000      in sec:      63000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.174000      in sec:      63600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.175000      in sec:      64200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.180000      in sec:      64800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.181000      in sec:      65400.
+ **  Heading lines  **
+ -> 20180102.000000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.182000      in sec:      66000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.183000      in sec:      66600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.184000      in sec:      67200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.185000      in sec:      67800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.190000      in sec:      68400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.191000      in sec:      69000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.192000      in sec:      69600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.193000      in sec:      70200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.194000      in sec:      70800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.195000      in sec:      71400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.200000      in sec:      72000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.201000      in sec:      72600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.202000      in sec:      73200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.203000      in sec:      73800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.204000      in sec:      74400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.205000      in sec:      75000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.210000      in sec:      75600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.211000      in sec:      76200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.212000      in sec:      76800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.213000      in sec:      77400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.214000      in sec:      78000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.215000      in sec:      78600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.220000      in sec:      79200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.221000      in sec:      79800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.222000      in sec:      80400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.223000      in sec:      81000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.224000      in sec:      81600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.225000      in sec:      82200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.230000      in sec:      82800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.231000      in sec:      83400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.232000      in sec:      84000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.233000      in sec:      84600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.234000      in sec:      85200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180101.235000      in sec:      85800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.000000      in sec:      86400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.001000      in sec:      87000.
+ **  Heading lines  **
+ -> 20180102.060000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.002000      in sec:      87600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.003000      in sec:      88200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.004000      in sec:      88800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.005000      in sec:      89400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.010000      in sec:      90000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.011000      in sec:      90600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.012000      in sec:      91200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.013000      in sec:      91800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.014000      in sec:      92400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.015000      in sec:      93000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.020000      in sec:      93600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.021000      in sec:      94200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.022000      in sec:      94800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.023000      in sec:      95400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.024000      in sec:      96000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.025000      in sec:      96600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.030000      in sec:      97200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.031000      in sec:      97800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.032000      in sec:      98400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.033000      in sec:      99000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.034000      in sec:      99600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.035000      in sec:     100200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.040000      in sec:     100800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.041000      in sec:     101400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.042000      in sec:     102000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.043000      in sec:     102600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.044000      in sec:     103200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.045000      in sec:     103800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.050000      in sec:     104400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.051000      in sec:     105000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.052000      in sec:     105600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.053000      in sec:     106200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.054000      in sec:     106800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.055000      in sec:     107400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.060000      in sec:     108000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.061000      in sec:     108600.
+ **  Heading lines  **
+ -> 20180102.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.062000      in sec:     109200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.063000      in sec:     109800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.064000      in sec:     110400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.065000      in sec:     111000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.070000      in sec:     111600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.071000      in sec:     112200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.072000      in sec:     112800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.073000      in sec:     113400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.074000      in sec:     114000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.075000      in sec:     114600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.080000      in sec:     115200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.081000      in sec:     115800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.082000      in sec:     116400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.083000      in sec:     117000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.084000      in sec:     117600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.085000      in sec:     118200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.090000      in sec:     118800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.091000      in sec:     119400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.092000      in sec:     120000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.093000      in sec:     120600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.094000      in sec:     121200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.095000      in sec:     121800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.100000      in sec:     122400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.101000      in sec:     123000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.102000      in sec:     123600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.103000      in sec:     124200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.104000      in sec:     124800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.105000      in sec:     125400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.110000      in sec:     126000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.111000      in sec:     126600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.112000      in sec:     127200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.113000      in sec:     127800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.114000      in sec:     128400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.115000      in sec:     129000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.120000      in sec:     129600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.121000      in sec:     130200.
+ **  Heading lines  **
+ -> 20180102.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.122000      in sec:     130800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.123000      in sec:     131400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.124000      in sec:     132000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.125000      in sec:     132600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.130000      in sec:     133200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.131000      in sec:     133800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.132000      in sec:     134400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.133000      in sec:     135000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.134000      in sec:     135600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.135000      in sec:     136200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.140000      in sec:     136800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.141000      in sec:     137400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.142000      in sec:     138000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.143000      in sec:     138600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.144000      in sec:     139200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.145000      in sec:     139800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.150000      in sec:     140400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.151000      in sec:     141000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.152000      in sec:     141600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.153000      in sec:     142200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.154000      in sec:     142800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.155000      in sec:     143400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.160000      in sec:     144000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.161000      in sec:     144600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.162000      in sec:     145200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.163000      in sec:     145800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.164000      in sec:     146400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.165000      in sec:     147000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.170000      in sec:     147600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.171000      in sec:     148200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.172000      in sec:     148800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.173000      in sec:     149400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.174000      in sec:     150000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.175000      in sec:     150600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.180000      in sec:     151200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.181000      in sec:     151800.
+ **  Heading lines  **
+ -> 20180103.000000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.182000      in sec:     152400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.183000      in sec:     153000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.184000      in sec:     153600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.185000      in sec:     154200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.190000      in sec:     154800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.191000      in sec:     155400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.192000      in sec:     156000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.193000      in sec:     156600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.194000      in sec:     157200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.195000      in sec:     157800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.200000      in sec:     158400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.201000      in sec:     159000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.202000      in sec:     159600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.203000      in sec:     160200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.204000      in sec:     160800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.205000      in sec:     161400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.210000      in sec:     162000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.211000      in sec:     162600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.212000      in sec:     163200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.213000      in sec:     163800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.214000      in sec:     164400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.215000      in sec:     165000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.220000      in sec:     165600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.221000      in sec:     166200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.222000      in sec:     166800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.223000      in sec:     167400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.224000      in sec:     168000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.225000      in sec:     168600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.230000      in sec:     169200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.231000      in sec:     169800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.232000      in sec:     170400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.233000      in sec:     171000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.234000      in sec:     171600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180102.235000      in sec:     172200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.000000      in sec:     172800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.001000      in sec:     173400.
+ **  Heading lines  **
+ -> 20180103.060000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.002000      in sec:     174000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.003000      in sec:     174600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.004000      in sec:     175200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.005000      in sec:     175800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.010000      in sec:     176400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.011000      in sec:     177000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.012000      in sec:     177600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.013000      in sec:     178200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.014000      in sec:     178800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.015000      in sec:     179400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.020000      in sec:     180000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.021000      in sec:     180600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.022000      in sec:     181200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.023000      in sec:     181800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.024000      in sec:     182400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.025000      in sec:     183000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.030000      in sec:     183600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.031000      in sec:     184200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.032000      in sec:     184800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.033000      in sec:     185400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.034000      in sec:     186000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.035000      in sec:     186600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.040000      in sec:     187200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.041000      in sec:     187800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.042000      in sec:     188400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.043000      in sec:     189000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.044000      in sec:     189600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.045000      in sec:     190200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.050000      in sec:     190800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.051000      in sec:     191400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.052000      in sec:     192000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.053000      in sec:     192600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.054000      in sec:     193200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.055000      in sec:     193800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.060000      in sec:     194400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.061000      in sec:     195000.
+ **  Heading lines  **
+ -> 20180103.120000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.062000      in sec:     195600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.063000      in sec:     196200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.064000      in sec:     196800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.065000      in sec:     197400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.070000      in sec:     198000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.071000      in sec:     198600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.072000      in sec:     199200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.073000      in sec:     199800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.074000      in sec:     200400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.075000      in sec:     201000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.080000      in sec:     201600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.081000      in sec:     202200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.082000      in sec:     202800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.083000      in sec:     203400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.084000      in sec:     204000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.085000      in sec:     204600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.090000      in sec:     205200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.091000      in sec:     205800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.092000      in sec:     206400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.093000      in sec:     207000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.094000      in sec:     207600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.095000      in sec:     208200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.100000      in sec:     208800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.101000      in sec:     209400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.102000      in sec:     210000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.103000      in sec:     210600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.104000      in sec:     211200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.105000      in sec:     211800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.110000      in sec:     212400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.111000      in sec:     213000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.112000      in sec:     213600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.113000      in sec:     214200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.114000      in sec:     214800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.115000      in sec:     215400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.120000      in sec:     216000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.121000      in sec:     216600.
+ **  Heading lines  **
+ -> 20180103.180000                                                                 
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.122000      in sec:     217200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.123000      in sec:     217800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.124000      in sec:     218400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.125000      in sec:     219000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.130000      in sec:     219600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.131000      in sec:     220200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.132000      in sec:     220800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.133000      in sec:     221400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.134000      in sec:     222000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.135000      in sec:     222600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.140000      in sec:     223200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.141000      in sec:     223800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.142000      in sec:     224400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.143000      in sec:     225000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.144000      in sec:     225600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.145000      in sec:     226200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.150000      in sec:     226800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.151000      in sec:     227400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.152000      in sec:     228000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.153000      in sec:     228600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.154000      in sec:     229200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.155000      in sec:     229800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.160000      in sec:     230400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.161000      in sec:     231000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.162000      in sec:     231600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.163000      in sec:     232200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.164000      in sec:     232800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.165000      in sec:     233400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.170000      in sec:     234000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.171000      in sec:     234600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.172000      in sec:     235200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.173000      in sec:     235800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.174000      in sec:     236400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.175000      in sec:     237000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.180000      in sec:     237600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.181000      in sec:     238200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.182000      in sec:     238800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.183000      in sec:     239400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.184000      in sec:     240000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.185000      in sec:     240600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.190000      in sec:     241200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.191000      in sec:     241800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.192000      in sec:     242400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.193000      in sec:     243000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.194000      in sec:     243600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.195000      in sec:     244200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.200000      in sec:     244800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.201000      in sec:     245400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.202000      in sec:     246000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.203000      in sec:     246600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.204000      in sec:     247200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.205000      in sec:     247800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.210000      in sec:     248400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.211000      in sec:     249000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.212000      in sec:     249600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.213000      in sec:     250200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.214000      in sec:     250800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.215000      in sec:     251400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.220000      in sec:     252000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.221000      in sec:     252600.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.222000      in sec:     253200.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.223000      in sec:     253800.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.224000      in sec:     254400.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.225000      in sec:     255000.
+ not possible to compute, first iteration
+
+ 
+ Time of computation ->  20180103.230000      in sec:     255600.
+ not possible to compute, first iteration
+
+ 
+    
+ 
+    
+ STOP
diff --git a/cases/breakwaters/ob2_upd/config.swn b/cases/breakwaters/ob2_upd/config.swn
new file mode 100644
index 000000000..9002d67bb
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/config.swn
@@ -0,0 +1,51 @@
+$***********MODEL INPUT*********************************
+$
+SET NAUTical
+MODE NONSTationary TWODimensional
+COORDinates spherical
+
+CGRID REGular xpc=74.70452573998112  ypc=67.88356662593489 alpc=0. &
+                  xlenc=0.128978 ylenc=0.086128 mxc=17 myc=31 &
+                  CIRCLE mdc=36 flow=0.05 fhigh=1. msc=25
+
+INPgrid BOTtom REGular xpinp=74.70452573998112  ypinp=67.88356662593489 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071375050 dyinp=0.0026897594 EXCeption -9
+READinp BOTtom fac=1 'data\bathy.bot' idla=1 0 FREE
+
+INPgrid WIND  REGular xpinp=74.70452573998112  ypinp=67.88356662593489 & 
+                alpinp=0. mxinp=17 myinp=31 &
+                dxinp=0.0071375050 dyinp=0.0026897594  &
+NONSTATIONARY 20180101.000000 6 HR 20180103.230000
+READinp WIND fac=1.21 SERIES 'data\wind_inventory.txt' 1 0 1 0 FREE
+
+BOUnd SHAPespec JONswap 3.3 PEAK DSPR DEGRees
+
+
+
+GEN3 ST6 6.5E-6 8.5E-5 4.0 4.0 UP HWANG VECTAU U10PROXY 35.0 AGROW 
+BREAKING
+FRiction JONswap CONstant 0.067
+TRIAD
+DIFFRACtion
+ PROP BSBT
+QUANTity  Per short='Tm-1,0' power=0.
+
+
+
+OUTPUT OPTIONS '%' TABLE 16 BLOCK 6 18
+
+BLOCK 'COMPGRID' NOHEAD 'results\HSig_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 HSig OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\PDIR_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 PDIR OUT 20180102.000000 1. HR
+BLOCK 'COMPGRID' NOHEAD 'results\RTP_ob_example2_20180102.000000_20180103.230000.dat' LAYOUT 1 RTP OUT 20180102.000000 1. HR
+
+
+
+
+
+
+
+
+COMPUTE NONSTat 20180101.000000 10 MIN 20180103.230000
+
+STOP
diff --git a/cases/breakwaters/ob2_upd/data/bathy.bot b/cases/breakwaters/ob2_upd/data/bathy.bot
new file mode 100644
index 000000000..6eaad604f
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/data/bathy.bot
@@ -0,0 +1,32 @@
+5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 -9.0
+5.0 5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 5.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+5.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 4.0 4.0 4.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0 -9.0
+4.0 4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 4.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 3.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0
+4.0 3.0 3.0 3.0 2.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0 -9.0
+3.0 3.0 3.0 3.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0 -9.0
+3.0 3.0 3.0 2.0 2.0 2.0 2.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 1.0 -9.0 -9.0 -9.0
+3.0 3.0 3.0 2.0 2.0 2.0 2.0 1.0 1.0 1.0 0.0 -9.0 1.0 1.0 1.0 -9.0 -9.0 -9.0
diff --git a/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc b/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc
new file mode 100644
index 000000000..77d853b7a
Binary files /dev/null and b/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc differ
diff --git a/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc.tmp b/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc.tmp
new file mode 100644
index 000000000..cb28e6c2b
Binary files /dev/null and b/cases/breakwaters/ob2_upd/data/bathy_ob_example2.nc.tmp differ
diff --git a/cases/breakwaters/ob2_upd/data/landscape_PwiOsA2HE2igZUel.csv b/cases/breakwaters/ob2_upd/data/landscape_PwiOsA2HE2igZUel.csv
new file mode 100644
index 000000000..5a8d90930
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/data/landscape_PwiOsA2HE2igZUel.csv
@@ -0,0 +1,628 @@
+lat, lon, elevation, xIndex, yIndex
+67.88362250095344, 74.70452573998112, -3.0, 0, 0
+67.8836220353277, 74.71166324496195, -3.0, 1, 0
+67.88362125928482, 74.71880074956255, -3.0, 2, 0
+67.88362017282485, 74.72593825359276, -2.0, 3, 0
+67.88361877594781, 74.73307575686246, -2.0, 4, 0
+67.88361706865378, 74.74021325918153, -2.0, 5, 0
+67.88361505094282, 74.74735076035986, -2.0, 6, 0
+67.88361272281502, 74.75448826020731, -1.0, 7, 0
+67.88361008427047, 74.76162575853374, -1.0, 8, 0
+67.88360713530929, 74.76876325514907, -1.0, 9, 0
+67.88360387593158, 74.77590074986313, 0.0, 10, 0
+67.88360030613754, 74.78303824248582, 0.0, 11, 0
+67.88359642592724, 74.790175732827, -1.0, 12, 0
+67.8835922353009, 74.79731322069657, -1.0, 13, 0
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diff --git a/cases/breakwaters/ob2_upd/data/wind_2018.txt b/cases/breakwaters/ob2_upd/data/wind_2018.txt
new file mode 100644
index 000000000..da976179f
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/data/wind_2018.txt
@@ -0,0 +1,780 @@
+20180101.000000
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+ 7.45  7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.26  7.25  7.23  7.22  7.20  7.19
+ 7.45  7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19
+ 7.45  7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19
+ 7.45  7.43  7.42  7.40  7.39  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19
+ 7.45  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.18
+ 7.45  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.18
+ 7.44  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.24  7.23  7.22  7.20  7.18
+ 7.44  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.30  7.29  7.28  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.43  7.41  7.40  7.38  7.36  7.35  7.34  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.43  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.43  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.29  7.27  7.26  7.24  7.23  7.21  7.20  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.29  7.27  7.26  7.24  7.22  7.21  7.20  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.35  7.33  7.32  7.30  7.28  7.27  7.26  7.24  7.22  7.21  7.19  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.34  7.33  7.32  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.44  7.42  7.41  7.39  7.38  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.21  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.33  7.31  7.30  7.28  7.27  7.25  7.24  7.22  7.20  7.19  7.18
+ 7.43  7.42  7.40  7.39  7.37  7.36  7.34  7.32  7.31  7.30  7.28  7.26  7.25  7.24  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.39  7.37  7.36  7.34  7.32  7.31  7.30  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
+ 7.43  7.41  7.40  7.38  7.37  7.35  7.34  7.32  7.31  7.29  7.28  7.26  7.25  7.23  7.22  7.20  7.19  7.17
diff --git a/cases/breakwaters/ob2_upd/data/wind_inventory.txt b/cases/breakwaters/ob2_upd/data/wind_inventory.txt
new file mode 100644
index 000000000..9754ad749
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/data/wind_inventory.txt
@@ -0,0 +1 @@
+./data/wind_2018.txt
diff --git a/cases/breakwaters/ob2_upd/init_ob2.py b/cases/breakwaters/ob2_upd/init_ob2.py
new file mode 100644
index 000000000..d963ccba3
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/init_ob2.py
@@ -0,0 +1,9 @@
+import os
+
+from core.simulation_case.case import Case
+from core.utils.files import get_project_root
+
+os.chdir(f"{get_project_root()}/cases/ob2")
+case = Case("./ob_example.json")
+case.prepare_case()
+case.run()
diff --git a/cases/breakwaters/ob2_upd/norm_end b/cases/breakwaters/ob2_upd/norm_end
new file mode 100644
index 000000000..a587de1b9
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/norm_end
@@ -0,0 +1 @@
+  Normal end of run     
diff --git a/cases/breakwaters/ob2_upd/ob_example.json b/cases/breakwaters/ob2_upd/ob_example.json
new file mode 100644
index 000000000..e110705dd
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/ob_example.json
@@ -0,0 +1,39 @@
+{
+  "id": "ob_example2",
+  "case_description": {
+    "area_name": "Ob Bay",
+    "coords": "None",
+    "grid": {
+      "step": "None",
+      "step_unit": "deg",
+      "grid_type": "spherical"
+    },
+    "open_boundaries": "None"
+  },
+  "simulation": {
+    "spinup_start": "2018-01-01 00:00",
+    "start": "2018-01-02 00:00",
+    "end": "2018-01-03 23:00",
+    "integration_step": "10 MIN",
+    "parallel": "False",
+    "model": "SWAN4131"
+  },
+  "data": {
+    "upload_data": "True",
+    "storage_path": "./storage",
+    "force_overwrite": "False",
+    "bathy_source": "./data/landscape_PwiOsA2HE2igZUel.csv",
+    "bdc_dataset_type": "None",
+    "wind_dataset_type": "cfs2"
+  },
+  "output": {
+    "variables": "['HSig','PDIR','RTP']",
+    "save_output_fields": "True",
+    "save_spectres": "False",
+    "points": {
+    }
+  },
+  "nesting": {
+    "nested_grid": "None"
+  }
+}
\ No newline at end of file
diff --git a/cases/breakwaters/ob2_upd/results/HSig_ob_example.dat b/cases/breakwaters/ob2_upd/results/HSig_ob_example.dat
new file mode 100644
index 000000000..7ed17a034
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results/HSig_ob_example.dat
@@ -0,0 +1,1536 @@
+  0.466932E+00  0.495101E+00  0.505844E+00  0.505505E+00  0.491684E+00  0.482776E+00  0.457434E+00  0.451904E+00  0.424133E+00  0.389930E+00  0.377892E+00  0.317343E+00  0.265994E+00  0.243326E+00  0.225768E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.528233E+00  0.557006E+00  0.566469E+00  0.565256E+00  0.549930E+00  0.541462E+00  0.514163E+00  0.509852E+00  0.482067E+00  0.446792E+00  0.439907E+00  0.378062E+00  0.329149E+00  0.314474E+00  0.302205E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.524736E+00  0.554578E+00  0.564256E+00  0.563388E+00  0.547811E+00  0.540243E+00  0.514614E+00  0.507550E+00  0.481300E+00  0.446146E+00  0.439540E+00  0.378444E+00  0.330170E+00  0.316637E+00  0.304085E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.520845E+00  0.551571E+00  0.562243E+00  0.561618E+00  0.546279E+00  0.544206E+00  0.531028E+00  0.507300E+00  0.482113E+00  0.446496E+00  0.439547E+00  0.379695E+00  0.332424E+00  0.319702E+00  0.306510E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.516893E+00  0.548130E+00  0.560316E+00  0.560030E+00  0.547145E+00  0.541301E+00  0.529212E+00  0.506266E+00  0.485937E+00  0.450715E+00  0.439722E+00  0.383084E+00  0.338614E+00  0.328198E+00  0.320417E+00  0.308149E+00 -0.900000E+01 -0.900000E+01
+  0.512236E+00  0.542924E+00  0.557954E+00  0.561004E+00  0.556571E+00  0.538953E+00  0.527908E+00  0.504966E+00  0.502092E+00  0.470755E+00  0.442148E+00  0.398315E+00  0.366942E+00  0.358802E+00  0.351283E+00  0.339218E+00 -0.900000E+01 -0.900000E+01
+  0.505147E+00  0.536132E+00  0.554370E+00  0.558355E+00  0.553883E+00  0.536726E+00  0.526064E+00  0.503308E+00  0.499552E+00  0.469680E+00  0.441845E+00  0.438899E+00  0.434291E+00  0.428616E+00  0.420772E+00  0.407309E+00 -0.900000E+01 -0.900000E+01
+  0.495626E+00  0.527480E+00  0.551026E+00  0.554771E+00  0.550883E+00  0.534358E+00  0.524297E+00  0.501171E+00  0.496228E+00  0.467573E+00  0.440359E+00  0.437162E+00  0.432766E+00  0.427141E+00  0.419270E+00  0.406031E+00 -0.900000E+01 -0.900000E+01
+  0.482529E+00  0.517347E+00  0.544925E+00  0.549850E+00  0.546686E+00  0.531278E+00  0.524141E+00  0.502728E+00  0.492840E+00  0.465025E+00  0.438426E+00  0.434377E+00  0.428783E+00  0.421504E+00  0.411017E+00  0.392237E+00 -0.900000E+01 -0.900000E+01
+  0.469692E+00  0.503375E+00  0.536703E+00  0.543039E+00  0.541577E+00  0.527136E+00  0.524624E+00  0.509699E+00  0.489467E+00  0.462188E+00  0.435794E+00  0.429389E+00  0.421464E+00  0.411522E+00  0.398517E+00  0.351484E+00 -0.900000E+01 -0.900000E+01
+  0.457234E+00  0.487983E+00  0.522098E+00  0.533339E+00  0.533490E+00  0.520003E+00  0.516154E+00  0.502457E+00  0.484036E+00  0.457617E+00  0.431218E+00  0.419426E+00  0.407188E+00  0.395196E+00  0.379845E+00  0.167651E+00 -0.900000E+01 -0.900000E+01
+  0.445429E+00  0.474617E+00  0.505564E+00  0.519374E+00  0.521987E+00  0.509623E+00  0.505364E+00  0.492974E+00  0.476812E+00  0.451043E+00  0.423525E+00  0.395025E+00  0.372312E+00  0.359167E+00  0.339904E+00  0.582083E-02 -0.900000E+01 -0.900000E+01
+  0.433694E+00  0.463197E+00  0.490306E+00  0.503294E+00  0.504868E+00  0.497175E+00  0.491016E+00  0.478386E+00  0.466911E+00  0.441437E+00  0.413465E+00  0.358212E+00  0.314104E+00  0.298702E+00  0.255288E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.421775E+00  0.454199E+00  0.476835E+00  0.488213E+00  0.485738E+00  0.484244E+00  0.474748E+00  0.459423E+00  0.454415E+00  0.428518E+00  0.400531E+00  0.348192E+00  0.306346E+00  0.290391E+00  0.194298E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
+  0.408299E+00  0.447766E+00  0.466536E+00  0.475762E+00  0.474083E+00  0.472458E+00  0.463994E+00  0.449058E+00  0.442068E+00  0.416220E+00  0.388199E+00  0.337611E+00  0.299517E+00  0.284140E+00  0.195426E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
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+  0.350587E+00  0.376646E+00  0.425729E+00  0.438622E+00  0.438811E+00  0.427109E+00  0.419160E+00  0.401688E+00  0.373581E+00  0.367342E+00  0.323753E+00  0.285615E+00  0.276806E+00  0.269818E+00  0.262712E+00 -0.900000E+01 -0.900000E+01 -0.900000E+01
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diff --git a/cases/breakwaters/ob2_upd/results/PDIR_ob_example.dat b/cases/breakwaters/ob2_upd/results/PDIR_ob_example.dat
new file mode 100644
index 000000000..5cac2f8c0
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results/PDIR_ob_example.dat
@@ -0,0 +1,1536 @@
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diff --git a/cases/breakwaters/ob2_upd/results/RTP_ob_example.dat b/cases/breakwaters/ob2_upd/results/RTP_ob_example.dat
new file mode 100644
index 000000000..f3c2562aa
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results/RTP_ob_example.dat
@@ -0,0 +1,1536 @@
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diff --git a/cases/breakwaters/ob2_upd/results_old(crashed)/HSig_ob_example.dat b/cases/breakwaters/ob2_upd/results_old(crashed)/HSig_ob_example.dat
new file mode 100644
index 000000000..466fffa56
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results_old(crashed)/HSig_ob_example.dat
@@ -0,0 +1,1536 @@
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diff --git a/cases/breakwaters/ob2_upd/results_old(crashed)/PDIR_ob_example.dat b/cases/breakwaters/ob2_upd/results_old(crashed)/PDIR_ob_example.dat
new file mode 100644
index 000000000..672c6afa6
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results_old(crashed)/PDIR_ob_example.dat
@@ -0,0 +1,608 @@
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diff --git a/cases/breakwaters/ob2_upd/results_old(crashed)/RTP_ob_example.dat b/cases/breakwaters/ob2_upd/results_old(crashed)/RTP_ob_example.dat
new file mode 100644
index 000000000..91b202d5e
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/results_old(crashed)/RTP_ob_example.dat
@@ -0,0 +1,576 @@
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+  0.127081E+01  0.205233E+01  0.205233E+01  0.205233E+01  0.231360E+01  0.231360E+01  0.231360E+01  0.231360E+01  0.231360E+01  0.231360E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01 -0.900000E+01
diff --git a/cases/breakwaters/ob2_upd/swan.edt b/cases/breakwaters/ob2_upd/swan.edt
new file mode 100644
index 000000000..f01954574
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/swan.edt
@@ -0,0 +1,296 @@
+!   PROJECT  'name'  'nr'
+!            'title1'
+!            'title2'
+!            'title3'
+!
+!   SET  [level]  [nor]  [depmin]  [maxmes]                                 &
+!        [maxerr]  [grav]  [rho] [cdcap] [uscap] [inrhog]                   &
+!        [hsrerr]  CARTesian|NAUTical  [pwtail]                             &
+!        [froudmax]  [icewind]  [sort]  [nsweep]  CURV  [printf]  [prtest]
+!
+!   MODE  / STATIONARY \  / TWODimensional
+!         \ DYNAMIC    /  \ ONEDimensional
+!
+!   COORDinates  /  -> CARTesian          \   REPeating
+!                \ SPHErical      CCM|QC  /
+!
+!   CGRID  / REGular [xpc] [ypc] [alpc] [xlenc] [ylenc] [mxc] [myc] \
+!         <  CURVilinear [mxc] [myc]  (EXC [xexc] [yexc]) [alpc]     >      &
+!          \ UNSTRUCtured                                           /
+!
+!          / CIRcle               \
+!          \ SECtor [dir1] [dir2] /  [mdc]  [flow]  [fhig]  [msc]
+!
+!   INPgrid                                                                 &
+!      BOT | WLEV | CUR | VX | VY | FR | WI | WX | WY | NPLA | TURB | MUDL  &
+!      AICE | HICE                                                          &
+!
+!      | REG [xpinp] [ypinp] [alpinp]  [mxinp] [myinp]  [dxinp] [dyinp] |
+!      |                                                                |
+!     <  CURVilinear [stagrx] [stagry] [mxinp] [myinp]                   >  &
+!      |                                                                |
+!      | UNSTRUCtured                                                   |
+!
+!      (EXCeption  [excval])                                                &
+!
+!      (NONSTATionary [tbeginp] [deltinp] SEC|MIN|HR|DAY [tendinp])
+!
+!                          | -> ADCirc
+!   READgrid UNSTRUCtured <  TRIAngle \
+!                          | EASYmesh / 'fname'
+!
+!   READinp    BOTtom | WLevel | CURrent | FRiction | WInd | COOR | NPLAnts &
+!              TURB | MUDL | AICE | HICE                                    &
+!
+!        [fac]  / 'fname1'        \
+!               \ SERIES 'fname2' /  [idla] [nhedf] ([nhedt]) (nhedvec])    &
+!
+!        FREE | FORMAT 'form' | [idfm] | UNFORMATTED
+!
+!                              | WU
+!   WIND  [vel] [dir]   DRAG  <  -> FIT
+!                              | SWELL
+!
+!                       |  JONswap  [gamma]  |
+!   BOUnd SHAPespec     |  PM                |
+!                      <   GAUSs  [sigfr]     >  PEAK|MEAN   DSPR  POWer|DEGRees
+!                       |  BIN               |
+!
+!              / -> SIDE  N|NW|W|SW|S|SE|E|NE | [k]  CCW|CLOCKWise       \
+!   BOUndspec <                                                           > &
+!              \    SEGment  / -> XY  < [x]  [y] >            \          /
+!                            \    IJ  < [i]  [j] > | < [k] >  /
+!
+!            /  UNIForm   /  PAR  [hs] [per] [dir] [dd]
+!           <             \  FILE  'fname'  [seq]
+!            \  VARiable  /  PAR  < [len] [hs] [per] [dir] [dd] >
+!                         \  FILE < [len] 'fname' [seq] >
+!
+!   BOUndnest1  NEst 'fname'  CLOSed|OPEN
+!
+!   BOUndnest2  WAMNest 'fname' / UNFormatted CRAY|WKstat \
+!                               \ FREE                    / [xgc] [ygc] [lwdate]
+!
+!                            | UNFormatted |   | -> CLOS |
+!   BOUndnest3  WW3 'fname' <               > <           > [xgc] [ygc]
+!                            | FREe        |   |    OPEN |
+!
+!             | -> DEFault
+!             |
+!   INITial  <   ZERO
+!             |
+!             |  PAR  [hs] [per] [dir] [dd]
+!             |
+!             |            | -> MULTiple |             | -> FREE
+!             |  HOTStart <               >  'fname'  <
+!             |            |    SINGle   |             | UNFormatted
+!
+!   GEN1  [cf10] [cf20] [cf30] [cf40] [edmlpm] [cdrag] [umin]
+!
+!   GEN2  [cf10] [cf20] [cf30] [cf40] [cf50] [cf60] [edmlpm] [cdrag] [umin]
+!
+!            |    JANSsen [cds1] [delta]                               |
+!            |                                                         |
+!            | -> KOMen   [cds2] [stpm]                                |
+!            |                                                         |
+!            |    YAN                                                  |
+!            |                                                         |
+!            |    WESTHuysen [cds2] [br] [p0] [powst] [powk]           |
+!            |                                                         |
+!            |    BABANIN [a1sds] [a2sds] [p1sds] [p2sds] [cdsv]    &  |
+!            |                  | -> UP |                              |
+!   GEN3    <        [feswell] <         > VECTAU  TRUE10               > (AGROW [a])
+!            |                  | DOWN  |                              |
+!            |                                                         |
+!            |    ST6     [a1sds] [a2sds] [p1sds] [p2sds]           &  |
+!            |        | -> UP |    | -> HWANG |                        |
+!            |       <         >  <     FAN    >  VECTAU|SCATAU     &  |
+!            |        | DOWN  |    |    ECMWF |                        |
+!            |        |    TRUE10                 |                    |
+!            |       <                             >  DEBias [cdfac]   |
+!            |        | -> U10Proxy [windscaling] |                    |
+!
+!           |    ROGers  [cdsv] [feswell]
+!   SSWELL <  -> ARDhuin [cdsv]
+!           |    ZIEger  [b1]
+!
+!   NEGatinp  [rdcoef]
+!
+!
+!         | -> KOMen   [cds2] [stpm] [powst] [delta] [powk]
+!         |
+!         |   JANSsen  [cds1]  [delta] [pwtail]
+!         |
+!         |   LHIG     [cflhig]
+!         |
+!   WCAP <    BJ       [bjstp] [bjalf]
+!         |
+!         |   KBJ      [bjstp] [bjalf] [kconv]
+!         |
+!         |   AB       [cds2] [br] [p0] [powst] [powk]
+!
+!   QUADrupl [iquad] [lambda] [cnl4] [csh1] [csh2] [csh3]
+!
+!                             | CNL4 < [cnl4] >               |
+!   MDIA LAMbda < [lambda] > <                                 >
+!                             | CNL4_12 < [cnl4_1] [cnl4_2] > |
+!
+!        | -> CON [alpha] [gamma]                                      |
+!        |                                                             |
+!        |    VAR [alpha] [gammin] [gammax] [gamneg] [coeff1] [coeff2] |
+!        |                                                             |
+!   BRE <     RUE [alpha] [a] [b]                                       > &
+!        |                                                             |
+!        |    BKD [alpha] [gamma0] [a1] [a2] [a3]                      |
+!        |                                                             |
+!        |    TG  [alpha] [gamma] [pown]                               |
+!
+!     ( DIRectionality [spread] )                                         &
+!
+!     ( FREQDep [power] [fmin] [fmax] )
+!
+!
+!              |             | -> CONstant [cfjon]
+!              | -> JONswap <
+!              |             |    VARiable [cfj1] [cfj2] [dsp1] [dsp2]
+!   FRICtion  <
+!              |    COLLins [cfw] [cfc]
+!              |
+!              |    MADsen  [kn]
+!              |
+!              |    RIPples [S] [D]
+!
+!   TRIad [itriad] [trfac] [cutfr] [a] [b] [p] [urcrit] [urslim]
+!
+!   VEGEtation  < [height] [diamtr] [nstems] [drag] >
+!
+!   TURBulence  [ctb]  (CURrent [tbcur])
+!
+!   MUD  [layer]  [rhom]  [viscm]  [rhow]  [viscw]
+!
+!   IC4M2 [aice] [c0] [c1] [c2] [c3] [c4] [c5] [c6]
+!
+!   LIMiter [ursell] [qb]
+!
+!               | -> TRANSm [trcoef]                        |
+!               |  TRANS1d < [trcoef] >                     |
+!               |  TRANS2d < [trcoef] >                     |
+!   OBSTacle   <                                             >              &
+!               |       | -> GODA [hgt] [alpha] [beta]      |
+!               |  DAM <                                    |
+!                       |    DANGremond [hgt] [slope] [Bk]  |
+!
+!                          | -> RSPEC        |
+!        ( REFLec [reflc] <                   > )                           &
+!                          |    RDIFF [pown] |
+!
+!        ( FREEboard [hgt] [gammat] [gammar] Quay )                         &
+!
+!        LINe < [xp] [yp] >
+!
+!   SETUP  [supcor]
+!
+!   DIFFRac  [idiffr] [smpar] [smnum] [cgmod]
+!
+!   OFF WINDGrowth | QUADrupl | WCAPping | BREaking | REFrac | FSHift | BNDCHK
+!
+!   PROP   /  BSBT
+!          \  GSE  [waveage] SEC|MIN|HR|DAY
+!
+!             | -> STOPC [dabs] [drel] [curvat] [npnts] [dtabs] [curvt] |
+!   NUMeric (<                                                           >  &
+!             |    ACCUR [drel] [dhoval] [dtoval] [npnts]               |
+!
+!                    | -> STAT  [mxitst] [alfa] |
+!                   <                            >  [limiter]   )           &
+!                    | NONSTat  [mxitns]        |
+!
+!           ( DIRimpl [cdd]  DEP|WNUM                           )           &
+!
+!           ( REFRLim [frlim] [power]                           )           &
+!
+!              | -> SIGIMpl [css] [eps2] [outp] [niter]
+!           ( <                                                 )           &
+!              |    SIGEXpl [css] [cfl]
+!
+!           ( CTheta [cfl]                                      )           &
+!
+!           ( CSigma [cfl]                                      )           &
+!
+!           ( SETUP [eps2] [outp] [niter]                       )
+!
+!   FRAME   'sname'  [xpfr] [ypfr] [alpfr] [xlenfr] [ylenfr] [mxfr] [myfr]
+!
+!   GROUP   'sname'  SUBGRID [ix1] [ix2] [iy1] [iy2]
+!
+!   CURVE   'sname'  [xp1] [yp1]   < [int]  [xp]  [yp] >
+!
+!   RAY     'rname'  [xp1] [yp1] [xq1] [yq1]                                &
+!                    <  [int]  [xp]  [yp]  [xq]  [yq]  >
+!
+!   ISOLINE 'sname'  'rname'  DEPTH|BOTTOM  [dep]
+!
+!   POINTS  'sname'  < [xp]  [yp]  >     |    FILE 'fname'
+!
+!                    | [xpn] [ypn] [alpn] [xlenn] [ylenn] [mxn] [myn]
+!   NGRID  'sname'  <
+!                    | UNSTRUCtured / -> TRIAngle \
+!                                   \    EASYmesh / 'fname'
+!
+!              |...|
+!   QUANTity  <     >   'short'  'long'  [lexp]  [hexp]  [excv]             &
+!              |...|
+!
+!             [power]   [ref]   [fswell]    [fmin]  [fmax]                  &
+!
+!             / -> PROBLEMcoord \
+!             \ FRAME           /
+!
+!   OUTPut OPTIons  'comment'  (TABle [field])  (BLOck  [ndec]  [len])      &
+!                              (SPEC  [ndec])
+!
+!   BLOCK   'sname'  HEADER | NOHEADER  'fname' (LAY-OUT [idla])            &
+!          <  HSIGN|HSWELL|DIR|PDIR|TDIR|TM01|RTM01|RTP|TM02|FSPR|DSPR|VEL| &
+!             FRCOEF|WIND|DISSIP|QB|TRANSP|FORCE|UBOT|URMS|WLEN|STEEPNESS|  &
+!             DHSIGN|DRTM01|LEAK|TSEC|XP|YP|DIST|SETUP|TMM10|RTMM10|DEPTH|  &
+!             TMBOT|QP|BFI|NPLANT|WATLEV|BOTLEV|TPS|DISBOT|DISSURF|DISWCAP| &
+!             GENE|GENW|REDI|REDQ|REDT|PROPA|PROPX|PROPT|PROPS|RADS|LWAVP|  &
+!             DISTUR|TURB|DISMUD|DISSWELL|AICE|DISICE|                      &
+!             PTHSIGN|PTRTP|PTWLEN|PTDIR|PTDSPR|PTWFRAC|PTSTEEP|PARTIT >    &
+!             ([unit]) (OUTPUT [tbegblk] [deltblk] SEC|MIN|HR|DAY)
+!
+!   TABLE   'sname'  HEADER | NOHEADER | INDEXED 'fname'                    &
+!          <  HSIGN|HSWELL|DIR|PDIR|TDIR|TM01|RTM01|RTP|TM02|FSPR|DSPR|VEL| &
+!             FRCOEF|WIND|DISSIP|QB|TRANSP|FORCE|UBOT|URMS|WLEN|STEEPNESS|  &
+!             DHSIGN|DRTM01|LEAK|TIME|TSEC|XP|YP|DIST|SETUP|TMM10|RTMM10|   &
+!             DEPTH|TMBOT|QP|BFI|WATLEV|BOTLEV|TPS|DISBOT|DISSURF|DISWCAP|  &
+!             GENE|GENW|REDI|REDQ|REDT|PROPA|PROPX|PROPT|PROPS|RADS|LWAVP|  &
+!             DISTUR|TURB|DISMUD|DISSWELL|AICE|DISICE|                      &
+!             PTHSIGN|PTRTP|PTWLEN|PTDIR|PTDSPR|PTWFRAC|PTSTEEP >           &
+!             ([unit]) (OUTPUT [tbegtbl] [delttbl] SEC|MIN|HR|DAY)
+!
+!   SPECout 'sname'  SPEC1D|SPEC2D  ABS|REL   'fname'                       &
+!                    MONth  ESCAle  COMPress                                &
+!                    (OUTput [tbeg] [delt] SEC|MIN|HR|DAY)
+!
+!   NESTout 'sname'  'fname'                                                &
+!                    (OUTput [tbeg] [delt] SEC|MIN|HR|DAY)
+!
+!                                 / -> IJ < [i] [j] > | < [k] >  \
+!   TEST [itest] [itrace] POINTS <                                >         &
+!                                 \    XY < [x] [y] >            /
+!
+!                         PAR 'fname'  S1D 'fname'  S2D 'fname'
+!
+!              |  STATionary  [time]                      |
+!   COMPute ( <                                            > )
+!              |                    | -> Sec  |           |
+!              |  ([tbegc] [deltc] <     MIn   > [tendc]) |
+!                                   |    HR   |
+!                                   |    DAy  |
+!
+!                     | -> FREE
+!   HOTFile 'fname'  <
+!                     | UNFormatted
+!
+!   STOP
diff --git a/cases/breakwaters/ob2_upd/swan.exe b/cases/breakwaters/ob2_upd/swan.exe
new file mode 100644
index 000000000..bf84b31f3
Binary files /dev/null and b/cases/breakwaters/ob2_upd/swan.exe differ
diff --git a/cases/breakwaters/ob2_upd/swaninit b/cases/breakwaters/ob2_upd/swaninit
new file mode 100644
index 000000000..4bd7abf14
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/swaninit
@@ -0,0 +1,15 @@
+    4                                   version of initialisation file
+Delft University of Technology          name of institute
+    3                                   command file ref. number
+INPUT                                   command file name
+    4                                   print file ref. number
+PRINT                                   print file name
+    4                                   test file ref. number
+                                        test file name
+    6                                   screen ref. number
+   99                                   highest file ref. number
+$                                       comment identifier
+	                                       TAB character
+/                                       dir sep char in input file
+\                                       dir sep char replacing previous one
+    1                                   default time coding option
diff --git a/cases/breakwaters/ob2_upd/swanrun.bat b/cases/breakwaters/ob2_upd/swanrun.bat
new file mode 100644
index 000000000..c2f231360
--- /dev/null
+++ b/cases/breakwaters/ob2_upd/swanrun.bat
@@ -0,0 +1,86 @@
+@echo off
+rem
+rem    swanrun.bat
+rem
+rem    Run the SWAN program by means of the SWAN input file
+rem    Note: it is assumed that the extension of the input file is '.swn'
+rem
+rem    Usage: swanrun inputfile [nprocs]
+rem
+
+set nprocs=1
+
+if not "%1"=="" goto OK1
+  echo.
+  echo Usage: swanrun inputfile [nprocs]
+  goto END
+:OK1
+
+set inputfile=%1
+shift
+
+if exist %inputfile%.swn goto OK2
+  echo.
+  echo Error: file %inputfile%.swn does not exist
+  goto END
+:OK2
+
+if "%1"=="" goto OK3
+  set nprocs=%1
+:OK3
+
+copy %inputfile%.swn INPUT >> nul
+
+if not %nprocs%==1 goto PARALLEL1
+swan.exe
+goto OK4
+
+:PARALLEL1
+mpiexec -n %nprocs% swan.exe
+
+:OK4
+if errorlevel 1 goto END
+
+if not %nprocs%==1 goto PARALLEL2
+  if exist PRINT copy PRINT %inputfile%.prt >> nul
+  if exist PRINT del PRINT
+  goto OK5
+:PARALLEL2
+if not exist PRINT-001 goto OK5
+if %nprocs% GTR 9 goto RANGE1
+  for /L %%i in (1,1,%nprocs%) do copy PRINT-00%%i %inputfile%.prt-00%%i >> nul
+  for /L %%i in (1,1,%nprocs%) do del PRINT-00%%i
+  goto OK5
+:RANGE1
+if %nprocs% GTR 99 goto RANGE2
+  for /L %%i in (1,1,9) do copy PRINT-00%%i %inputfile%.prt-00%%i >> nul
+  for /L %%i in (1,1,9) do del PRINT-00%%i
+  for /L %%i in (10,1,%nprocs%) do copy PRINT-0%%i %inputfile%.prt-0%%i >> nul
+  for /L %%i in (10,1,%nprocs%) do del PRINT-0%%i
+  goto OK5
+:RANGE2
+if %nprocs% GTR 999 goto ERR
+  for /L %%i in (1,1,9) do copy PRINT-00%%i %inputfile%.prt-00%%i >> nul
+  for /L %%i in (1,1,9) do del PRINT-00%%i
+  for /L %%i in (10,1,99) do copy PRINT-0%%i %inputfile%.prt-0%%i >> nul
+  for /L %%i in (10,1,99) do del PRINT-0%%i
+  for /L %%i in (100,1,%nprocs%) do copy PRINT-%%i %inputfile%.prt-%%i >> nul
+  for /L %%i in (100,1,%nprocs%) do del PRINT-%%i
+  goto OK5
+:ERR
+  echo Error: too many processes
+  goto END
+:OK5
+
+if exist Errfile copy Errfile %inputfile%.erf >> nul
+if exist Errfile del Errfile
+if exist ERRPTS copy ERRPTS %inputfile%.erp >> nul
+if exist ERRPTS del ERRPTS
+del INPUT
+if not exist norm_end goto END
+  type norm_end
+
+:END
+
+set inputfile=
+set nprocs=
diff --git a/cases/main_conf.py b/cases/main_conf.py
deleted file mode 100644
index 0cf589a91..000000000
--- a/cases/main_conf.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import argparse
-from gefest.core.utils import project_root
-root = project_root()
-file = 'optimized.pkl'
-
-"""
-General configurations for all cases.
-Some specific ones should be described in corresponding file
-"""
-parser = argparse.ArgumentParser()
-parser.add_argument("--pop_size", type=int, default=100, help='number of individs in population')
-parser.add_argument("--n_steps", type=int, default=300, help='number of generative design steps')
-parser.add_argument('--n_polys', type=int, default=1, help='maximum number of polygons in structure')
-parser.add_argument('--n_points', type=int, default=10, help='maximum number of points in polygon')
-parser.add_argument('--c_rate', type=float, default=0.1, help='crossover rate')
-parser.add_argument('--m_rate', type=float, default=0.9, help='mutation rate')
-parser.add_argument('--is_closed', type=bool, default=True, help='type of polygon')
-opt_params = parser.parse_args()
diff --git a/cases/microfluidic/config_standard.py b/cases/microfluidic/config_standard.py
new file mode 100644
index 000000000..502805d57
--- /dev/null
+++ b/cases/microfluidic/config_standard.py
@@ -0,0 +1,102 @@
+from pathlib import Path
+
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.simulators.comsol.comsol_interface import Comsol
+
+
+# # # Metrics # # #
+class ComsolMetric(Objective):
+    """Comsol metric."""
+    def __init__(self, domain, estimator):
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure):
+        return self.estimator(ind)
+
+
+# # # Precompute domain arguments # # #
+pass
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        (-125, 100),
+        (-75, 170),
+        (15, 170),
+        (30, 90),
+        (-20, -130),
+        (-20, -170),
+        (-125, -170),
+        (-125, 100),
+    ],
+    name='main',
+    min_poly_num=1,
+    max_poly_num=1,
+    min_points_num=3,
+    max_points_num=15,
+    polygon_side=0.0001,
+    min_dist_from_boundary=0.0001,
+    geometry_is_convex=True,
+    geometry_is_closed=True,
+    geometry='2D',
+)
+
+tuner_cfg = TunerParams(
+    tuner_type='optuna',
+    n_steps_tune=10,
+    hyperopt_dist='uniform',
+    verbose=True,
+    timeout_minutes=60,
+)
+
+opt_params = OptimizationParams(
+    optimizer='gefest_ga',
+    domain=domain_cfg,
+    tuner_cfg=tuner_cfg,
+    n_steps=50,
+    pop_size=50,
+    postprocess_attempts=3,
+    mutation_prob=0.6,
+    crossover_prob=0.6,
+    mutations=[
+        'rotate_poly',
+        'resize_poly',
+        'add_point',
+        'drop_point',
+        'add_poly',
+        'drop_poly',
+        'pos_change_point',
+    ],
+    selector='tournament_selection',
+    mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+    crossovers=[
+        'polygon_level',
+        'structure_level',
+    ],
+    crossover_each_prob=[0.0, 1.0],
+    postprocess_rules=[
+        'not_out_of_bounds',
+        'valid_polygon_geom',
+        'not_self_intersects',
+        'not_too_close_polygons',
+        # 'not_overlaps_prohibited',
+        'not_too_close_points',
+    ],
+    extra=5,
+    n_jobs=-1,
+    log_dir='logs',
+    run_name='run_name',
+    golem_keep_histoy=False,
+    golem_genetic_scheme_type='steady_state',
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        ComsolMetric(
+            domain_cfg,
+            Comsol(str(Path(__file__).parent) + '\\microfluid_file\\rbc-trap-setup.mph'),
+        ),
+    ],
+)
diff --git a/cases/microfluidic/configuration_standard/sd_domain.py b/cases/microfluidic/configuration_standard/sd_domain.py
deleted file mode 100644
index 79eec0926..000000000
--- a/cases/microfluidic/configuration_standard/sd_domain.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-
-
-# ------------
-# USER-DEFINED CONFIGURATION OF DOMAIN FOR MICROFLUIDIC TASK
-# ------------
-def configurate_domain(poly_num: int,
-                       points_num: int,
-                       is_closed: bool):
-    # ------------
-    # GEFEST domain based on user-defined configuration_de
-    # ------------
-    if is_closed:
-        min_points_num = 3
-    else:
-        min_points_num = 2
-
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(allowed_area=[(-125, 100),
-                                  (-75, 170),
-                                  (15, 170),
-                                  (30, 90),
-                                  (-20, -130),
-                                  (-20, -170),
-                                  (-125, -170),
-                                  (-125, 100)],
-                    geometry=geometry,
-                    max_poly_num=poly_num,
-                    min_poly_num=1,
-                    max_points_num=points_num,
-                    min_points_num=min_points_num,
-                    is_closed=is_closed)
-    task_setup = Setup(domain=domain)
-
-    return domain, task_setup
diff --git a/cases/microfluidic/configuration_standard/sd_estimator.py b/cases/microfluidic/configuration_standard/sd_estimator.py
deleted file mode 100644
index 1f437ee13..000000000
--- a/cases/microfluidic/configuration_standard/sd_estimator.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from pathlib import Path
-
-from gefest.tools.estimators.simulators.comsol.comsol_interface import Comsol
-from gefest.tools.estimators.estimator import Estimator
-
-
-def configurate_estimator(domain, path_to_sim=False):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-
-    if not path_to_sim:
-        root_path = Path(__file__).parent.parent.parent.parent
-        path_to_sim = f'{root_path}/gefest/tools/estimators/simulators/comsol/microfluid_file/rbc-trap-setup.mph'
-
-    comsol = Comsol(path_to_mph=path_to_sim)
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    # Here loss is an optional argument, otherwise estimator will be considered as loss for minimizing
-    estimator = Estimator(estimator=comsol)
-
-    return estimator
diff --git a/cases/microfluidic/configuration_standard/sd_optimizer.py b/cases/microfluidic/configuration_standard/sd_optimizer.py
deleted file mode 100644
index da19dd84f..000000000
--- a/cases/microfluidic/configuration_standard/sd_optimizer.py
+++ /dev/null
@@ -1,28 +0,0 @@
-from gefest.tools.optimizers.GA.GA import GA
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.optimizer import Optimizer
-
-
-def configurate_optimizer(pop_size: int,
-                          crossover_rate: int,
-                          mutation_rate: int,
-                          task_setup):
-    # ------------
-    # User-defined optimizer
-    # it should be created as object with .step() method
-    # ------------
-    params = GA.Params(pop_size=pop_size,
-                       crossover_rate=crossover_rate,
-                       mutation_rate=mutation_rate,
-                       mutation_value_rate=[])
-
-    ga_optimizer = GA(params=params,
-                      evolutionary_operators=default_operators(),
-                      task_setup=task_setup)
-
-    # ------------
-    # GEFEST optimizer
-    # ------------
-    optimizer = Optimizer(optimizer=ga_optimizer)
-
-    return optimizer
diff --git a/cases/microfluidic/configuration_standard/sd_sampler.py b/cases/microfluidic/configuration_standard/sd_sampler.py
deleted file mode 100644
index 175a61a8d..000000000
--- a/cases/microfluidic/configuration_standard/sd_sampler.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from gefest.tools.samplers.standard.standard import StandardSampler
-from gefest.tools.samplers.sampler import Sampler
-
-
-def configurate_sampler(domain):
-    # ------------
-    # User-defined sampler
-    # it should be created as object with .sample() method
-    # ------------
-    sampler = StandardSampler()
-
-    # ------------
-    # GEFEST sampler,
-    # it consist of user defined sampler and configurated domain
-    # ------------
-    sampler = Sampler(sampler=sampler,
-                      domain=domain)
-
-    return sampler
diff --git a/cases/microfluidic/main.py b/cases/microfluidic/main.py
deleted file mode 100644
index 432f407a0..000000000
--- a/cases/microfluidic/main.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import timeit
-
-from gefest.core.opt.gen_design import design
-from cases.microfluidic.configuration_dl import md_domain, md_sampler, md_estimator, md_optimizer
-from cases.main_conf import opt_params
-
-opt_params.is_closed = True
-
-# ------------
-# GEFEST tools configuration
-# ------------
-
-domain, task_setup = md_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                  points_num=opt_params.n_points,
-                                                  is_closed=opt_params.is_closed)
-
-estimator = md_estimator.configurate_estimator(domain=domain)
-sampler = md_sampler.configurate_sampler(domain=domain)
-optimizer = md_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                               crossover_rate=opt_params.c_rate,
-                                               mutation_rate=opt_params.m_rate,
-                                               task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer)
-spend_time = timeit.default_timer() - start
-print(f'spent time {spend_time} sec')
diff --git a/cases/synthetic/circle/configuration/__init__.py b/cases/microfluidic/microfluid_file/__init__.py
similarity index 100%
rename from cases/synthetic/circle/configuration/__init__.py
rename to cases/microfluidic/microfluid_file/__init__.py
diff --git a/gefest/tools/estimators/simulators/comsol/microfluid_file/rbc-trap-setup.mph b/cases/microfluidic/microfluid_file/rbc-trap-setup.mph
similarity index 100%
rename from gefest/tools/estimators/simulators/comsol/microfluid_file/rbc-trap-setup.mph
rename to cases/microfluidic/microfluid_file/rbc-trap-setup.mph
diff --git a/cases/sound_waves/configuration/config_parallel.py b/cases/sound_waves/configuration/config_parallel.py
new file mode 100644
index 000000000..b396e6cad
--- /dev/null
+++ b/cases/sound_waves/configuration/config_parallel.py
@@ -0,0 +1,138 @@
+from functools import partial
+from pathlib import Path
+
+import numpy as np
+
+from cases.sound_waves.microphone_points import Microphone
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.geometry.utils import get_random_structure
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.simulators.sound_wave.sound_interface import (
+    SoundSimulator,
+    generate_map,
+)
+from gefest.tools.tuners.utils import percent_edge_variance
+from gefest.tools.utils import poly_from_comsol_txt
+
+
+class SoundFieldFitness(Objective):
+    """Evaluates sound pressure level difference with reference."""
+
+    def __init__(self, domain, estimator, path_best_struct=None, micro_slice=-1):
+        super().__init__(domain, estimator)
+        self.path_best_struct = path_best_struct
+        self.micro_slice = micro_slice
+        if path_best_struct is None:
+            print('please, set up the best spl matrix into configuration')
+            print('the best structure will be generated randomly')
+            rnd_structure = get_random_structure(domain)
+            best_spl = generate_map(domain, rnd_structure)
+        else:
+            best_structure = poly_from_comsol_txt(path_best_struct)
+            best_spl = self.estimator(best_structure)
+            best_spl = np.nan_to_num(best_spl, nan=0, neginf=0, posinf=0)
+            micro = Microphone(matrix=best_spl).array()
+            best_spl = np.concatenate(micro[micro_slice])
+
+        self.best_spl = best_spl
+
+    def _evaluate(self, ind: Structure):
+
+        spl = self.estimator(ind)
+        current_spl = np.nan_to_num(spl, nan=0, neginf=0, posinf=0)
+        micro = Microphone(matrix=current_spl).array()
+        current_spl = np.concatenate(micro[self.micro_slice])
+        l_f = np.sum(np.abs(self.best_spl - current_spl))
+        return l_f / len(current_spl)
+
+
+# # # domain pre-computation
+
+pass
+
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        [20, 20],
+        [20, 100],
+        [100, 100],
+        [100, 20],
+        [20, 20],
+    ],
+    name='main',
+    min_poly_num=1,
+    max_poly_num=4,
+    min_points_num=3,
+    max_points_num=16,
+    polygon_side=0.001,
+    min_dist_from_boundary=0.001,
+    geometry_is_convex=True,
+    geometry_is_closed=True,
+    geometry='2D',
+)
+
+
+tuner_cfg = TunerParams(
+    tuner_type='sequential',
+    n_steps_tune=10,
+    hyperopt_dist='normal',
+    verbose=True,
+    variacne_generator=partial(percent_edge_variance, percent=0.2),
+    timeout_minutes=30,
+)
+
+
+opt_params = OptimizationParams(
+    optimizer='gefest_ga',
+    domain=domain_cfg,
+    tuner_cfg=tuner_cfg,
+    n_steps=100,
+    pop_size=100,
+    postprocess_attempts=3,
+    mutation_prob=0.9,
+    crossover_prob=0.6,
+    mutations=[
+        'rotate_poly',
+        'resize_poly',
+        'add_point',
+        'drop_point',
+        'add_poly',
+        'drop_poly',
+        'pos_change_point',
+    ],
+    selector='tournament_selection',
+    mutation_each_prob=[0.125, 0.125, 0.25, 0.25, 0.0, 0.0, 0.25],
+    crossovers=[
+        'polygon_level',
+        'structure_level',
+    ],
+    crossover_each_prob=[1.0, 0.0],
+    postprocess_rules=[
+        'not_out_of_bounds',
+        'valid_polygon_geom',
+        'not_self_intersects',
+        'not_too_close_polygons',
+        # 'not_overlaps_prohibited',
+        'not_too_close_points',
+    ],
+    extra=5,
+    estimation_n_jobs=-1,
+    n_jobs=11,
+    log_dir='logs/tuners_exp',
+    run_name='roulette_1_obj',
+    golem_keep_histoy=True,
+    golem_genetic_scheme_type='steady_state',
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        SoundFieldFitness(
+            domain_cfg,
+            SoundSimulator(domain_cfg, 200),
+            str(Path(__file__).parent) + '\\figures\\bottom_square.txt',
+            -1,
+        ),
+    ],
+)
diff --git a/cases/sound_waves/configuration/figures/bottom_square.txt b/cases/sound_waves/configuration/figures/bottom_square.txt
new file mode 100644
index 000000000..68ce751e6
--- /dev/null
+++ b/cases/sound_waves/configuration/figures/bottom_square.txt
@@ -0,0 +1,5 @@
+95 20 off
+75 20 off
+75 40 off
+95 40 off
+95 20 off
diff --git a/cases/sound_waves/configuration/sound_domain.py b/cases/sound_waves/configuration/sound_domain.py
deleted file mode 100644
index 4e50f9bb9..000000000
--- a/cases/sound_waves/configuration/sound_domain.py
+++ /dev/null
@@ -1,55 +0,0 @@
-import numpy as np
-
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.prohibited import create_prohibited
-
-# ------------
-# USER-DEFINED CONFIGURATION OF DOMAIN FOR BREAKWATERS TASK
-# ------------
-
-grid_resolution_x = 300  # Number of points on x-axis
-grid_resolution_y = 300  # Number of points on y-axis
-coord_X = np.linspace(20, 100, grid_resolution_x + 1)  # X coordinate for spatial grid
-coord_Y = np.linspace(20, 100, grid_resolution_y + 1)  # Y coordinate for spatial grid
-
-grid = [grid_resolution_x, grid_resolution_y]  # points grid
-
-
-"""
-Prohibited objects
-"""
-fixed_area = [[[45, 55], [55, 55], [55, 45], [45, 45], [45, 55]]]
-prohibited = create_prohibited(fixed_area=fixed_area)
-
-
-def configurate_domain(poly_num: int, points_num: int, is_closed: bool):
-    # ------------
-    # GEFEST domain based on user-defined configuration_de
-    # ------------
-    if is_closed:
-        min_points_num = 3
-    else:
-        min_points_num = 2
-
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(
-        allowed_area=[
-            (min(coord_X), min(coord_Y)),
-            (min(coord_X), max(coord_Y)),
-            (max(coord_X), max(coord_Y)),
-            (max(coord_X), min(coord_Y)),
-            (min(coord_X), min(coord_Y)),
-        ],
-        geometry=geometry,
-        max_poly_num=poly_num,
-        min_poly_num=1,
-        max_points_num=points_num,
-        min_points_num=min_points_num,
-        is_closed=is_closed,
-        prohibited_area=prohibited,
-    )
-    task_setup = Setup(domain=domain)
-
-    return domain, task_setup
diff --git a/cases/sound_waves/configuration/sound_estimator.py b/cases/sound_waves/configuration/sound_estimator.py
deleted file mode 100644
index 6d1aead06..000000000
--- a/cases/sound_waves/configuration/sound_estimator.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import numpy as np
-import pickle
-
-from test.test_sound_simulator import load_file_from_path
-from gefest.core.structure.structure import Structure, get_random_structure
-from gefest.tools.estimators.simulators.sound_wave.sound_interface import (
-    SoundSimulator,
-    generate_map,
-)
-from gefest.tools.estimators.estimator import Estimator
-
-
-def configurate_estimator(domain: "Domain", path_best_struct=None):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-    sound = SoundSimulator(domain=domain)
-
-    if path_best_struct is None:
-        print("please, set up the best spl matrix into configuration")
-        print("the best structure will be generated randomly")
-        rnd_structure = get_random_structure(domain)
-        best_spl = generate_map(domain, rnd_structure)
-    else:
-        best_structure = load_file_from_path(path_best_struct)
-        best_spl = sound.estimate(best_structure)
-        best_spl = np.nan_to_num(best_spl, nan=0, neginf=0, posinf=0)
-
-    # Loss for minimizing, it is optional function
-    def loss(struct: Structure, estimator):
-        spl = estimator.estimate(struct)
-        current_spl = np.nan_to_num(spl, nan=0, neginf=0, posinf=0)
-
-        l_f = np.sum(np.abs(best_spl - current_spl))
-
-        return l_f
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    # Here loss is an optional argument, otherwise estimator will be considered as loss for minimizing
-    estimator = Estimator(estimator=sound, loss=loss)
-
-    return estimator
diff --git a/cases/sound_waves/configuration/sound_optimizer.py b/cases/sound_waves/configuration/sound_optimizer.py
deleted file mode 100644
index 31121627d..000000000
--- a/cases/sound_waves/configuration/sound_optimizer.py
+++ /dev/null
@@ -1,32 +0,0 @@
-from gefest.tools.optimizers.GA.GA import GA
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.optimizer import Optimizer
-
-
-def configurate_optimizer(pop_size: int,
-                          crossover_rate: int,
-                          mutation_rate: int,
-                          task_setup):
-    """
-    ::TODO::
-    Create abstract interface for configurations
-    """
-    # ------------
-    # User-defined optimizer
-    # it should be created as object with .step() method
-    # ------------
-    params = GA.Params(pop_size=pop_size,
-                       crossover_rate=crossover_rate,
-                       mutation_rate=mutation_rate,
-                       mutation_value_rate=[])
-
-    ga_optimizer = GA(params=params,
-                      evolutionary_operators=default_operators(),
-                      task_setup=task_setup)
-
-    # ------------
-    # GEFEST optimizer
-    # ------------
-    optimizer = Optimizer(optimizer=ga_optimizer)
-
-    return optimizer
diff --git a/cases/sound_waves/configuration/sound_sampler.py b/cases/sound_waves/configuration/sound_sampler.py
deleted file mode 100644
index 21070eda0..000000000
--- a/cases/sound_waves/configuration/sound_sampler.py
+++ /dev/null
@@ -1,23 +0,0 @@
-from gefest.tools.samplers.standard.standard import StandardSampler
-from gefest.tools.samplers.sampler import Sampler
-
-
-def configurate_sampler(domain):
-    """
-    ::TODO::
-    Create abstract interface for configurations
-    """
-    # ------------
-    # User-defined sampler
-    # it should be created as object with .sample() method
-    # ------------
-    standard_sampler = StandardSampler()
-
-    # ------------
-    # GEFEST sampler,
-    # it consist of user defined sampler and configurated domain
-    # ------------
-    sampler = Sampler(sampler=standard_sampler,
-                      domain=domain)
-
-    return sampler
diff --git a/cases/sound_waves/main.py b/cases/sound_waves/main.py
deleted file mode 100644
index 057d4c909..000000000
--- a/cases/sound_waves/main.py
+++ /dev/null
@@ -1,66 +0,0 @@
-import timeit
-import pickle
-
-from gefest.core.opt.gen_design import design
-from gefest.core.structure.structure import get_random_structure
-from cases.main_conf import opt_params
-from cases.sound_waves.configuration import (
-    sound_domain,
-    sound_estimator,
-    sound_optimizer,
-    sound_sampler,
-)
-
-# If the value is False, pretrained models will be selected
-# otherwise put path to your model
-opt_params.is_closed = True
-opt_params.pop_size = 15
-opt_params.n_steps = 20
-opt_params.n_polys = 1
-opt_params.n_points = 30
-
-# ------------
-# GEFEST tools configuration
-# ------------
-domain, task_setup = sound_domain.configurate_domain(
-    poly_num=opt_params.n_polys,
-    points_num=opt_params.n_points,
-    is_closed=opt_params.is_closed,
-)
-
-best_structure = get_random_structure(domain)
-
-with open("best_structure.pickle", "wb") as handle:
-    pickle.dump(best_structure, handle, protocol=pickle.HIGHEST_PROTOCOL)
-
-estimator = sound_estimator.configurate_estimator(
-    domain=domain, path_best_struct="best_structure.pickle"
-)
-
-sampler = sound_sampler.configurate_sampler(domain=domain)
-
-optimizer = sound_optimizer.configurate_optimizer(
-    pop_size=opt_params.pop_size,
-    crossover_rate=opt_params.c_rate,
-    mutation_rate=opt_params.m_rate,
-    task_setup=task_setup,
-)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(
-    n_steps=opt_params.n_steps,
-    pop_size=opt_params.pop_size,
-    estimator=estimator,
-    sampler=sampler,
-    optimizer=optimizer,
-    extra=True,
-)
-spend_time = timeit.default_timer() - start
-print(f"spent time {spend_time} sec")
-
-with open("optimized_structure.pickle", "wb") as handle:
-    pickle.dump(optimized_pop, handle, protocol=pickle.HIGHEST_PROTOCOL)
diff --git a/cases/sound_waves/microphone_points.py b/cases/sound_waves/microphone_points.py
new file mode 100644
index 000000000..183ab12af
--- /dev/null
+++ b/cases/sound_waves/microphone_points.py
@@ -0,0 +1,29 @@
+import numpy as np
+
+
+class Microphone:
+    """Slices microphone points where makes a sound measurements."""
+    def __init__(self, matrix: np.ndarray = None):
+        self.matrix = np.random.rand(120, 120) if matrix is None else matrix
+
+    def array(self):
+        """Generates np.array of sound pressure."""
+        arrs = [
+            [
+                [
+                    self.matrix[0, 120 // 2],
+                    self.matrix[0, 3 * 120 // 4],
+                    self.matrix[0, -1],
+                    self.matrix[3 * 120 // 4, -1],
+                    self.matrix[120 // 2, -1],
+                    self.matrix[120 // 4, -1],
+                    self.matrix[-1, -1],
+                    self.matrix[-1, 3 * 120 // 4],
+                    self.matrix[-1, 120 // 2],
+                ]
+            ],
+            [self.matrix[0, 64:-1][::4], self.matrix[7:-7, -1][::3], self.matrix[-1, 64:-1][::4]],
+            [self.matrix[0, 59:-1], self.matrix[:, -1], self.matrix[-1, 59:-1]],
+            self.matrix,
+        ]
+        return arrs
diff --git a/cases/sound_waves/sound_viz.py b/cases/sound_waves/sound_viz.py
index eb5d470da..7f551ff3a 100644
--- a/cases/sound_waves/sound_viz.py
+++ b/cases/sound_waves/sound_viz.py
@@ -1,35 +1,30 @@
+
 import matplotlib.pyplot as plt
 
-from cases.main_conf import opt_params
-from cases.sound_waves.configuration import sound_domain
-from gefest.tools.estimators.simulators.sound_wave.sound_interface import SoundSimulator
-from test.test_sound_simulator import load_file_from_path
+from gefest.core.configs.utils import load_config
+from gefest.tools.utils import load_pickle
 
-init_path = "best_structure.pickle"
-optimized_path = "optimized_structure.pickle"
+init_path = 'best_structure.pickle'
+optimized_path = 'optimized_structure.pickle'
 
+if __name__ == '__main__':
 
-if __name__ == "__main__":
-    domain, _ = sound_domain.configurate_domain(
-        poly_num=opt_params.n_polys,
-        points_num=opt_params.n_points,
-        is_closed=opt_params.is_closed,
-    )
+    opt_params = load_config('F:\\Git_Repositories\\gef_ref\\GEFEST\\cases\\sound_waves\\configuration\\config.py')    
 
-    init_structure = load_file_from_path(init_path)
-    optimized_archive = load_file_from_path(optimized_path)
+    init_structure = load_pickle(init_path)
+    optimized_archive = load_pickle(optimized_path)
     optimized_structure = optimized_archive[0]
 
-    sound = SoundSimulator(domain)
+    sound_sim = opt_params.objectives[0].estimator
 
-    spl_0 = sound.estimate(init_structure)
-    spl_1 = sound.estimate(optimized_structure)
+    spl_0 = sound_sim.estimate(init_structure)
+    spl_1 = sound_sim.estimate(optimized_structure)
 
     fig, (ax1, ax2) = plt.subplots(nrows=1, ncols=2, figsize=(12, 4), sharey=True)
-    spl_plt_0 = ax1.pcolormesh(spl_0, cmap="coolwarm")
+    spl_plt_0 = ax1.pcolormesh(spl_0, cmap='coolwarm')
     plt.colorbar(spl_plt_0, ax=ax1)
 
-    spl_plt_1 = ax2.pcolormesh(spl_1, cmap="coolwarm")
+    spl_plt_1 = ax2.pcolormesh(spl_1, cmap='coolwarm')
     plt.colorbar(spl_plt_1, ax=ax2)
 
     plt.show()
diff --git a/cases/sound_waves/vizualization.py b/cases/sound_waves/vizualization.py
new file mode 100644
index 000000000..4301e61bb
--- /dev/null
+++ b/cases/sound_waves/vizualization.py
@@ -0,0 +1,53 @@
+import matplotlib.pyplot as plt
+import numpy as np
+
+from cases.sound_waves.poly_from_point import poly_from_comsol_txt
+from gefest.core.utils.functions import parse_structs, project_root
+
+pr_root = project_root()
+# p_s = parse_structs(f'{pr_root}/cases/sound_waves/logs/run_name_2023-10-10_16_25_55/tuned.log')[0]
+tuned = parse_structs(f'{pr_root}/cases/sound_waves/logs/run_name_2023-10-12_12_27_12/tuned.log')[0]
+tuned_2 = parse_structs(f'{pr_root}/cases/sound_waves/logs/run_name_2023-10-11_12_58_51/00100.log')[
+    -1
+]
+tuned_1 = parse_structs(f'{pr_root}/cases/sound_waves/logs/run_name_2023-10-11_15_25_40/00100.log')[
+    -1
+]
+
+grid_resolution_x = 300  # Number of points on x-axis
+grid_resolution_y = 300
+coord_X = np.linspace(20, 100, grid_resolution_x + 1)  # X coordinate for spatial grid
+coord_Y = np.linspace(20, 100, grid_resolution_y + 1)
+allowed_area = [
+    (min(coord_X), min(coord_Y)),
+    (min(coord_X), max(coord_Y)),
+    (max(coord_X), max(coord_Y)),
+    (max(coord_X), min(coord_Y)),
+    (min(coord_X), min(coord_Y)),
+]
+path_to_init_figure = f'figures/bottom_square.txt'
+best_structure = poly_from_comsol_txt(path_to_init_figure)
+d_p = tuned[0].points
+tuned_p = tuned_1[0].points
+tuned_2_p = tuned_2[0].points
+print([i[0] for i in allowed_area])
+plt.plot([i[0] for i in allowed_area], [i[1] for i in allowed_area])
+plt.plot([p.coords[0] for p in d_p], [p.coords[1] for p in d_p], label='tuned')
+plt.plot(
+    [p.coords[0] for p in tuned_p],
+    [p.coords[1] for p in tuned_p],
+    label=f'notTuned_1,fitness :{tuned_1.fitness[0]}',
+)
+plt.plot(
+    [p.coords[0] for p in tuned_2_p],
+    [p.coords[1] for p in tuned_2_p],
+    label=f'notTuned_2,fitness :{tuned_2.fitness[0]}',
+)
+plt.plot(
+    [x[0] for x in [i.coords for i in best_structure.polygons[0].points]],
+    [x[1] for x in [i.coords for i in best_structure.polygons[0].points]],
+    label='Init fig',
+)
+plt.legend()
+plt.show()
+print()
diff --git a/cases/synthetic/circle/configuration/circle_domain.py b/cases/synthetic/circle/configuration/circle_domain.py
deleted file mode 100644
index c5eb81204..000000000
--- a/cases/synthetic/circle/configuration/circle_domain.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-
-X_domain_max = 300
-X_domain_min = 0
-
-Y_domain_max = 300
-Y_domain_min = 0
-
-
-def configurate_domain(poly_num: int,
-                       points_num: int,
-                       is_closed: bool):
-    # ------------
-    # GEFEST domain based on user-defined configuration_de
-    # ------------
-    if is_closed:
-        min_points_num = 3
-    else:
-        min_points_num = 2
-
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(allowed_area=[(X_domain_min, Y_domain_min),
-                                  (X_domain_min, Y_domain_max),
-                                  (X_domain_max, Y_domain_max),
-                                  (X_domain_max, Y_domain_min),
-                                  (X_domain_min, Y_domain_min)],
-                    geometry=geometry,
-                    max_poly_num=poly_num,
-                    min_poly_num=1,
-                    max_points_num=points_num,
-                    min_points_num=min_points_num,
-                    is_closed=is_closed)
-
-    task_setup = Setup(domain=domain)
-
-    return domain, task_setup
diff --git a/cases/synthetic/circle/configuration/circle_estimator.py b/cases/synthetic/circle/configuration/circle_estimator.py
deleted file mode 100644
index 5ace96bed..000000000
--- a/cases/synthetic/circle/configuration/circle_estimator.py
+++ /dev/null
@@ -1,46 +0,0 @@
-import numpy as np
-from types import SimpleNamespace
-
-from gefest.core.structure.structure import Structure
-from gefest.tools.estimators.estimator import Estimator
-
-
-def configurate_estimator(domain):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-    # Area to length ratio, circle have maximum among all figures (that`s why it`s our optima)
-    def area_length_ratio(poly):
-        area = domain.geometry.get_square(poly)
-        length = domain.geometry.get_length(poly)
-
-        if area == 0:
-            return None
-
-        ratio = 1 - 4 * np.pi * area / length ** 2
-
-        return ratio
-
-    # Adding fine for structures containing more (less) than three polygons
-    def multi_loss(struct: Structure):
-        num = 3
-        num_polys = len(struct.polygons)
-        loss = 0
-        for poly in struct.polygons:
-            length = area_length_ratio(poly)
-            loss += length
-        L = loss + 20 * abs(num_polys - num)
-
-        return L
-
-    estimator = SimpleNamespace()
-    estimator.estimate = multi_loss
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    estimator = Estimator(estimator=estimator)
-
-    return estimator
diff --git a/cases/synthetic/circle/configuration/circle_optimizer.py b/cases/synthetic/circle/configuration/circle_optimizer.py
deleted file mode 100644
index cf38cde9e..000000000
--- a/cases/synthetic/circle/configuration/circle_optimizer.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from gefest.tools.optimizers.GA.GA import GA
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.optimizer import Optimizer
-
-
-def configurate_optimizer(pop_size: int,
-                          crossover_rate: int,
-                          mutation_rate: int,
-                          task_setup):
-    # ------------
-    # User-defined optimizer
-    # it should be created as object with .step() method
-    # ------------
-    params = GA.Params(pop_size=pop_size,
-                       crossover_rate=crossover_rate,
-                       mutation_rate=mutation_rate,
-                       mutation_value_rate=[])
-
-    ga_optimizer = GA(params=params,
-                      evolutionary_operators=default_operators(),
-                      task_setup=task_setup)
-    # ------------
-    # GEFEST optimizer
-    # ------------
-    optimizer = Optimizer(optimizer=ga_optimizer)
-
-    return optimizer
diff --git a/cases/synthetic/circle/configuration/circle_sampler.py b/cases/synthetic/circle/configuration/circle_sampler.py
deleted file mode 100644
index 79fd24d72..000000000
--- a/cases/synthetic/circle/configuration/circle_sampler.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from gefest.tools.samplers.standard.standard import StandardSampler
-from gefest.tools.samplers.sampler import Sampler
-
-
-def configurate_sampler(domain):
-    # ------------
-    # User-defined sampler
-    # it should be created as object with .sample() method
-    # ------------
-    standard_sampler = StandardSampler()
-
-    # ------------
-    # GEFEST sampler,
-    # it consist of user defined sampler and configurated domain
-    # ------------
-    sampler = Sampler(sampler=standard_sampler,
-                      domain=domain)
-
-    return sampler
\ No newline at end of file
diff --git a/cases/synthetic/circle/main.py b/cases/synthetic/circle/main.py
deleted file mode 100644
index 11b6454ea..000000000
--- a/cases/synthetic/circle/main.py
+++ /dev/null
@@ -1,70 +0,0 @@
-import timeit
-import pickle
-import matplotlib.pyplot as plt
-
-from gefest.core.geometry.geometry_2d import create_circle
-from gefest.core.structure.structure import Structure
-from gefest.core.viz.struct_vizualizer import StructVizualizer
-
-from gefest.core.opt.gen_design import design
-from cases.synthetic.circle.configuration import circle_estimator, circle_sampler, circle_optimizer, circle_domain
-from cases.main_conf import opt_params
-
-opt_params.is_closed = True
-
-# ------------
-# GEFEST tools configuration
-# ------------
-
-domain, task_setup = circle_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                      points_num=opt_params.n_points,
-                                                      is_closed=opt_params.is_closed)
-
-estimator = circle_estimator.configurate_estimator(domain=domain)
-sampler = circle_sampler.configurate_sampler(domain=domain)
-optimizer = circle_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                                   crossover_rate=opt_params.c_rate,
-                                                   mutation_rate=opt_params.m_rate,
-                                                   task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer)
-spend_time = timeit.default_timer() - start
-
-# ------------
-# Visualization optimized structure
-# ------------
-
-with open(f'HistoryFiles/performance_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    performance = pickle.load(f)
-
-with open(f'HistoryFiles/population_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    population = pickle.load(f)
-
-idx_of_best = performance.index(min(performance))
-
-plt.figure(figsize=(7, 7))
-visualiser = StructVizualizer(task_setup.domain)
-
-info = {'spend_time': spend_time,
-        'fitness': performance[idx_of_best],
-        'type': 'prediction'}
-visualiser.plot_structure(population[idx_of_best], info)
-
-# We also add global optima for comparison with optimized solutions
-true_circle = [Structure([create_circle(population[idx_of_best]), create_circle(population[idx_of_best]),
-                          create_circle(population[idx_of_best])])]
-info = {'spend_time': spend_time,
-        'fitness': estimator.estimate(true_circle)[0],
-        'type': 'true'}
-visualiser.plot_structure(true_circle[0], info)
-
-plt.show()
diff --git a/cases/synthetic/circle/multi_objective.py b/cases/synthetic/circle/multi_objective.py
new file mode 100644
index 000000000..63a6bc490
--- /dev/null
+++ b/cases/synthetic/circle/multi_objective.py
@@ -0,0 +1,116 @@
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.estimator import Estimator
+
+
+# # # Metrics # # #
+class Area(Objective):
+    """Figure area."""
+    def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure) -> float:
+        area = 0
+        for poly in ind:
+            area += self.domain.geometry.get_square(poly)
+
+        area = abs(area - (50 * 50))
+        return area
+
+
+class Perimeter(Objective):
+    """Figure perimeter opposit ratio."""
+    def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure) -> float:
+        perimeter = 0
+        for poly in ind:
+            perimeter += 1 / self.domain.geometry.get_length(poly)
+
+        return perimeter
+
+
+# # # Precompute domain arguments # # #
+
+pass
+
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        [0, 0],
+        [0, 100],
+        [100, 100],
+        [100, 0],
+        [0, 0],
+    ],
+    name='main',
+    min_poly_num=1,
+    max_poly_num=1,
+    min_points_num=3,
+    max_points_num=15,
+    polygon_side=0.0001,
+    min_dist_from_boundary=0.0001,
+    geometry_is_convex=True,
+    geometry_is_closed=True,
+    geometry='2D',
+)
+
+tuner_cfg = TunerParams(
+    tuner_type='optuna',
+    n_steps_tune=10,
+    hyperopt_dist='uniform',
+    verbose=True,
+    timeout_minutes=60,
+)
+
+opt_params = OptimizationParams(
+    optimizer='gefest_ga',
+    domain=domain_cfg,
+    tuner_cfg=tuner_cfg,
+    n_steps=50,
+    pop_size=50,
+    postprocess_attempts=3,
+    mutation_prob=0.6,
+    crossover_prob=0.6,
+    mutations=[
+        'rotate_poly',
+        'resize_poly',
+        'add_point',
+        'drop_point',
+        'add_poly',
+        'drop_poly',
+        'pos_change_point',
+    ],
+    selector='tournament_selection',
+    multiobjective_selector='spea2',
+    mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+    crossovers=[
+        'polygon_level',
+        'structure_level',
+    ],
+    crossover_each_prob=[0.0, 1.0],
+    postprocess_rules=[
+        'not_out_of_bounds',
+        'valid_polygon_geom',
+        'not_self_intersects',
+        'not_too_close_polygons',
+        # 'not_overlaps_prohibited',
+        'not_too_close_points',
+    ],
+    extra=5,
+    n_jobs=-1,
+    log_dir='logs',
+    run_name='run_name',
+    golem_keep_histoy=False,
+    golem_genetic_scheme_type='steady_state',
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        Area(domain_cfg),
+        Perimeter(domain_cfg),
+    ],
+)
diff --git a/cases/synthetic/circle/single_objective.py b/cases/synthetic/circle/single_objective.py
new file mode 100644
index 000000000..887e82b42
--- /dev/null
+++ b/cases/synthetic/circle/single_objective.py
@@ -0,0 +1,113 @@
+import numpy as np
+
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.estimator import Estimator
+
+
+# # # Metrics # # #
+class AreaLengthRatio(Objective):
+    """Area length ratio metric."""
+    def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure) -> float:
+
+        num = 3
+        num_polys = len(ind.polygons)
+        loss = 0
+        for poly in ind.polygons:
+            area = self.domain.geometry.get_square(poly)
+            length = self.domain.geometry.get_length(poly)
+            if area == 0:
+                ratio = None
+            else:
+                ratio = 1 - 4 * np.pi * area / length ** 2
+
+            loss += ratio
+
+        loss = loss + 20 * abs(num_polys - num)
+        return loss
+
+
+# # # Precompute domain arguments # # #
+
+pass
+
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        [0, 0],
+        [0, 300],
+        [300, 300],
+        [300, 0],
+        [0, 0],
+    ],
+    name='main',
+    min_poly_num=1,
+    max_poly_num=1,
+    min_points_num=3,
+    max_points_num=15,
+    polygon_side=0.0001,
+    min_dist_from_boundary=0.0001,
+    geometry_is_convex=True,
+    geometry_is_closed=True,
+    geometry='2D',
+)
+
+tuner_cfg = TunerParams(
+    tuner_type='optuna',
+    n_steps_tune=10,
+    hyperopt_dist='uniform',
+    verbose=True,
+    timeout_minutes=60,
+)
+
+opt_params = OptimizationParams(
+    optimizer='gefest_ga',
+    domain=domain_cfg,
+    tuner_cfg=tuner_cfg,
+    n_steps=50,
+    pop_size=50,
+    postprocess_attempts=3,
+    mutation_prob=0.6,
+    crossover_prob=0.6,
+    mutations=[
+        'rotate_poly',
+        'resize_poly',
+        'add_point',
+        'drop_point',
+        'add_poly',
+        'drop_poly',
+        'pos_change_point',
+    ],
+    selector='tournament_selection',
+    mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+    crossovers=[
+        'polygon_level',
+        'structure_level',
+    ],
+    crossover_each_prob=[0.0, 1.0],
+    postprocess_rules=[
+        'not_out_of_bounds',
+        'valid_polygon_geom',
+        'not_self_intersects',
+        'not_too_close_polygons',
+        # 'not_overlaps_prohibited',
+        'not_too_close_points',
+    ],
+    extra=5,
+    n_jobs=-1,
+    log_dir='logs',
+    run_name='run_name',
+    golem_keep_histoy=False,
+    golem_genetic_scheme_type='steady_state',
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        AreaLengthRatio(domain_cfg),
+    ],
+)
diff --git a/cases/synthetic/intersect_figs/configuration/estimator.py b/cases/synthetic/intersect_figs/configuration/estimator.py
deleted file mode 100644
index cbdbde088..000000000
--- a/cases/synthetic/intersect_figs/configuration/estimator.py
+++ /dev/null
@@ -1,61 +0,0 @@
-import numpy as np
-from types import SimpleNamespace
-from uuid import uuid4
-
-from gefest.core.structure.structure import Structure
-from gefest.tools.estimators.estimator import Estimator
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.point import Point
-
-
-def create_internal() -> 'Polygon':
-    X = [100, 100, 120, 120, 100]
-    Y = [100, 120, 120, 100, 100]
-
-    struct = Polygon(polygon_id=str(uuid4()),
-                     points=[(Point(x, y)) for x, y in zip(X, Y)])
-
-    return struct
-
-
-true = create_internal()
-true_struct = Structure([true])
-
-
-def configurate_estimator(domain):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-
-    def multi_loss(struct: Structure):
-        if len(struct.polygons) != 1:
-            return 1000
-
-        poly_pred = Geometry2D()._poly_to_geom(struct.polygons[0])
-        poly_true = Geometry2D()._poly_to_geom(true)
-
-        if not poly_true.intersects(poly_pred):
-            return 1000
-        if poly_pred.length < poly_true.length / 1.5:
-            return 1000
-
-        d1 = poly_pred.difference(poly_true).length
-        d2 = poly_true.difference(poly_pred).length
-
-        if d1 < d2:
-            return d2
-        else:
-            return d1
-
-    estimator = SimpleNamespace()
-    estimator.estimate = multi_loss
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    estimator = Estimator(estimator=estimator)
-
-    return estimator
diff --git a/cases/synthetic/intersect_figs/main.py b/cases/synthetic/intersect_figs/main.py
deleted file mode 100644
index 5d203f50b..000000000
--- a/cases/synthetic/intersect_figs/main.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import timeit
-import pickle
-import matplotlib.pyplot as plt
-
-from gefest.core.viz.struct_vizualizer import StructVizualizer
-
-from gefest.core.opt.gen_design import design
-from cases.synthetic.circle.configuration import circle_sampler, circle_optimizer, circle_domain
-from configuration import estimator as circle_estimator
-from configuration.estimator import true_struct
-from cases.main_conf import opt_params
-
-# ------------
-# GEFEST tools configuration_de
-# ------------
-
-domain, task_setup = circle_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                      points_num=opt_params.n_points,
-                                                      is_closed=opt_params.is_closed)
-
-estimator = circle_estimator.configurate_estimator(domain=domain)
-sampler = circle_sampler.configurate_sampler(domain=domain)
-optimizer = circle_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                                   crossover_rate=opt_params.c_rate,
-                                                   mutation_rate=opt_params.m_rate,
-                                                   task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer)
-spend_time = timeit.default_timer() - start
-
-# ------------
-# Visualization optimized structure
-# ------------
-
-with open(f'HistoryFiles/performance_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    performance = pickle.load(f)
-
-with open(f'HistoryFiles/population_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    population = pickle.load(f)
-
-idx_of_best = performance.index(min(performance))
-
-visualiser = StructVizualizer(task_setup.domain)
-plt.figure(figsize=(7, 7))
-
-info = {'spend_time': round(spend_time, 3),
-        'fitness': round(performance[idx_of_best], 3),
-        'type': 'prediction'}
-visualiser.plot_structure(population[idx_of_best], info)
-
-info = {'spend_time': round(spend_time, 3),
-        'fitness': 0,
-        'type': 'true'}
-visualiser.plot_structure(true_struct, info)
-
-plt.show()
\ No newline at end of file
diff --git a/cases/synthetic/line/configuration/line_domain.py b/cases/synthetic/line/configuration/line_domain.py
deleted file mode 100644
index c5eb81204..000000000
--- a/cases/synthetic/line/configuration/line_domain.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-
-X_domain_max = 300
-X_domain_min = 0
-
-Y_domain_max = 300
-Y_domain_min = 0
-
-
-def configurate_domain(poly_num: int,
-                       points_num: int,
-                       is_closed: bool):
-    # ------------
-    # GEFEST domain based on user-defined configuration_de
-    # ------------
-    if is_closed:
-        min_points_num = 3
-    else:
-        min_points_num = 2
-
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(allowed_area=[(X_domain_min, Y_domain_min),
-                                  (X_domain_min, Y_domain_max),
-                                  (X_domain_max, Y_domain_max),
-                                  (X_domain_max, Y_domain_min),
-                                  (X_domain_min, Y_domain_min)],
-                    geometry=geometry,
-                    max_poly_num=poly_num,
-                    min_poly_num=1,
-                    max_points_num=points_num,
-                    min_points_num=min_points_num,
-                    is_closed=is_closed)
-
-    task_setup = Setup(domain=domain)
-
-    return domain, task_setup
diff --git a/cases/synthetic/line/configuration/line_estimator.py b/cases/synthetic/line/configuration/line_estimator.py
deleted file mode 100644
index e8d8fe19f..000000000
--- a/cases/synthetic/line/configuration/line_estimator.py
+++ /dev/null
@@ -1,36 +0,0 @@
-import numpy as np
-from types import SimpleNamespace
-
-from gefest.core.structure.structure import Structure
-from gefest.tools.estimators.estimator import Estimator
-
-
-def configurate_estimator(domain):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-    def len_num_ration(struct: Structure):
-        L = []
-        p = []
-        for poly in struct.polygons:
-            L.append(domain.geometry.get_length(poly))
-            p.append(len(poly.points))
-        length = sum(L)
-        num_poly = len(struct.polygons)
-        num_points = sum(p)
-
-        ratio = abs(length - 300) + 100 * abs(num_points - 20) + 100 * abs(num_poly - 3)
-
-        return ratio
-
-    estimator = SimpleNamespace()
-    estimator.estimate = len_num_ration
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    estimator = Estimator(estimator=estimator)
-
-    return estimator
diff --git a/cases/synthetic/line/configuration/line_optimizer.py b/cases/synthetic/line/configuration/line_optimizer.py
deleted file mode 100644
index cf38cde9e..000000000
--- a/cases/synthetic/line/configuration/line_optimizer.py
+++ /dev/null
@@ -1,27 +0,0 @@
-from gefest.tools.optimizers.GA.GA import GA
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.optimizer import Optimizer
-
-
-def configurate_optimizer(pop_size: int,
-                          crossover_rate: int,
-                          mutation_rate: int,
-                          task_setup):
-    # ------------
-    # User-defined optimizer
-    # it should be created as object with .step() method
-    # ------------
-    params = GA.Params(pop_size=pop_size,
-                       crossover_rate=crossover_rate,
-                       mutation_rate=mutation_rate,
-                       mutation_value_rate=[])
-
-    ga_optimizer = GA(params=params,
-                      evolutionary_operators=default_operators(),
-                      task_setup=task_setup)
-    # ------------
-    # GEFEST optimizer
-    # ------------
-    optimizer = Optimizer(optimizer=ga_optimizer)
-
-    return optimizer
diff --git a/cases/synthetic/line/configuration/line_sampler.py b/cases/synthetic/line/configuration/line_sampler.py
deleted file mode 100644
index 687b2402f..000000000
--- a/cases/synthetic/line/configuration/line_sampler.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from gefest.tools.samplers.standard.standard import StandardSampler
-from gefest.tools.samplers.sampler import Sampler
-
-
-def configurate_sampler(domain):
-    # ------------
-    # User-defined sampler
-    # it should be created as object with .sample() method
-    # ------------
-    standard_sampler = StandardSampler()
-
-    # ------------
-    # GEFEST sampler,
-    # it consist of user defined sampler and configurated domain
-    # ------------
-    sampler = Sampler(sampler=standard_sampler,
-                      domain=domain)
-
-    return sampler
diff --git a/cases/synthetic/line/main.py b/cases/synthetic/line/main.py
deleted file mode 100644
index 30880760c..000000000
--- a/cases/synthetic/line/main.py
+++ /dev/null
@@ -1,58 +0,0 @@
-import timeit
-import pickle
-import matplotlib.pyplot as plt
-
-from gefest.core.viz.struct_vizualizer import StructVizualizer
-
-from gefest.core.opt.gen_design import design
-from cases.synthetic.line.configuration import line_estimator, line_sampler, line_optimizer, line_domain
-from cases.main_conf import opt_params
-
-# ------------
-# GEFEST tools configuration_de
-# ------------
-
-domain, task_setup = line_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                    points_num=opt_params.n_points,
-                                                    is_closed=opt_params.is_closed)
-
-estimator = line_estimator.configurate_estimator(domain=domain)
-sampler = line_sampler.configurate_sampler(domain=domain)
-optimizer = line_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                                 crossover_rate=opt_params.c_rate,
-                                                 mutation_rate=opt_params.m_rate,
-                                                 task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer)
-spend_time = timeit.default_timer() - start
-
-# ------------
-# Visualization optimized structure
-# ------------
-
-with open(f'HistoryFiles/performance_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    performance = pickle.load(f)
-
-with open(f'HistoryFiles/population_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    population = pickle.load(f)
-
-idx_of_best = performance.index(min(performance))
-
-visualiser = StructVizualizer(task_setup.domain)
-plt.figure(figsize=(7, 7))
-
-info = {'spend_time': spend_time,
-        'fitness': performance[idx_of_best],
-        'type': 'prediction'}
-visualiser.plot_structure(population[idx_of_best], info)
-
-plt.show()
diff --git a/cases/synthetic/multiobj/configuration/__init__.py b/cases/synthetic/multiobj/configuration/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/cases/synthetic/multiobj/configuration/multiobj_domain.py b/cases/synthetic/multiobj/configuration/multiobj_domain.py
deleted file mode 100644
index 6ca809597..000000000
--- a/cases/synthetic/multiobj/configuration/multiobj_domain.py
+++ /dev/null
@@ -1,38 +0,0 @@
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-
-X_domain_max = 300
-X_domain_min = 0
-
-Y_domain_max = 300
-Y_domain_min = 0
-
-
-def configurate_domain(poly_num: int,
-                       points_num: int,
-                       is_closed: bool):
-    # ------------
-    # GEFEST domain based on user-defined configuration_de
-    # ------------
-    if is_closed:
-        min_points_num = 3
-    else:
-        min_points_num = 2
-
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(allowed_area=[(X_domain_min, Y_domain_min),
-                                  (X_domain_min, Y_domain_max),
-                                  (X_domain_max, Y_domain_max),
-                                  (X_domain_max, Y_domain_min),
-                                  (X_domain_min, Y_domain_min)],
-                    geometry=geometry,
-                    max_poly_num=poly_num,
-                    min_poly_num=1,
-                    max_points_num=points_num,
-                    min_points_num=min_points_num,
-                    is_closed=is_closed)
-
-    task_setup = Setup(domain=domain)
-
-    return domain, task_setup
\ No newline at end of file
diff --git a/cases/synthetic/multiobj/configuration/multiobj_estimator.py b/cases/synthetic/multiobj/configuration/multiobj_estimator.py
deleted file mode 100644
index a933349e3..000000000
--- a/cases/synthetic/multiobj/configuration/multiobj_estimator.py
+++ /dev/null
@@ -1,44 +0,0 @@
-from shapely.geometry import Polygon, Point
-from types import SimpleNamespace
-
-from gefest.core.structure.structure import Structure
-from gefest.tools.estimators.estimator import Estimator
-from gefest.core.structure.point import Point
-
-target = Point(150, 150)
-
-
-def configurate_estimator(domain):
-    # ------------
-    # User-defined estimator
-    # it should be created as object with .estimate() method
-    # ------------
-    def len_num_ratio(struct: Structure):
-        if len(struct.polygons) > 1 or len(struct.polygons[0].points) < 3:
-            return [100000, 100000]
-        else:
-            poly = struct.polygons[0]
-
-            l_dist = domain.geometry.min_distance(poly, target)
-            length = domain.geometry.get_length(poly)
-
-            is_cont = domain.geometry.is_contain_point(poly=poly,
-                                                       point=target)
-
-        if not is_cont:
-            length += 10500
-
-        objective = [length, l_dist]
-
-        return objective
-
-    estimator = SimpleNamespace()
-    estimator.estimate = len_num_ratio
-
-    # ------------
-    # GEFEST estimator
-    # ------------
-
-    estimator = Estimator(estimator=estimator)
-
-    return estimator
diff --git a/cases/synthetic/multiobj/configuration/multiobj_optimizer.py b/cases/synthetic/multiobj/configuration/multiobj_optimizer.py
deleted file mode 100644
index 95690ba5c..000000000
--- a/cases/synthetic/multiobj/configuration/multiobj_optimizer.py
+++ /dev/null
@@ -1,60 +0,0 @@
-from functools import partial
-
-from golem.core.optimisers.optimization_parameters import GraphRequirements
-from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
-from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
-from golem.core.optimisers.genetic.operators.regularization import RegularizationTypesEnum
-from golem.core.optimisers.optimizer import GraphGenerationParams
-from golem.core.optimisers.objective import Objective
-
-from gefest.core.opt.adapter import StructureAdapter
-from gefest.core.opt.constraints import check_constraints
-from gefest.tools.optimizers.optimizer import Optimizer
-
-from gefest.tools.optimizers.golem_optimizer.nsga2 import NSGA2
-from gefest.tools.optimizers.golem_optimizer.moead import MOEAD
-from gefest.tools.optimizers.golem_optimizer.age import AGE
-
-
-def configurate_optimizer(pop_size: int,
-                          crossover_rate: float,
-                          mutation_rate: float,
-                          task_setup):
-    # ------------
-    # User-defined optimizer
-    # it should be created as object with .step() method
-    # ------------
-    rules = [partial(check_constraints, domain=task_setup.domain)]
-
-    requirements = GraphRequirements()
-
-    optimiser_parameters = GPAlgorithmParameters(
-        crossover_prob=crossover_rate,
-        mutation_prob=mutation_rate,
-        genetic_scheme_type=GeneticSchemeTypesEnum.steady_state,
-        regularization_type=RegularizationTypesEnum.none)
-
-    graph_generation_params = GraphGenerationParams(
-        adapter=StructureAdapter(),
-        rules_for_constraint=rules)
-
-    adapter = StructureAdapter()
-    params = {'objective': Objective(metrics=2),
-              'graph_generation_params': graph_generation_params,
-              'graph_optimizer_params': optimiser_parameters,
-              'requirements': requirements,
-              'initial_graphs': [1, 2, 3]}
-
-    age_optimizer = AGE(adapter=adapter,
-                        crossover_rate=crossover_rate,
-                        mutation_rate=mutation_rate,
-                        pop_size=pop_size,
-                        task_setup=task_setup,
-                        params=params)
-
-    # ------------
-    # GEFEST optimizer
-    # ------------
-    optimizer = Optimizer(optimizer=age_optimizer)
-
-    return optimizer
diff --git a/cases/synthetic/multiobj/main.py b/cases/synthetic/multiobj/main.py
deleted file mode 100644
index 879613ee8..000000000
--- a/cases/synthetic/multiobj/main.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import timeit
-import pickle
-import matplotlib.pyplot as plt
-
-from gefest.core.viz.struct_vizualizer import StructVizualizer
-
-from gefest.core.opt.gen_design import design
-from cases.synthetic.multiobj.configuration import multiobj_estimator, multiobj_optimizer, multiobj_domain
-from cases.synthetic.line.configuration import line_sampler
-from cases.main_conf import opt_params
-
-# ------------
-# GEFEST tools configuration_de
-# ------------
-
-domain, task_setup = multiobj_domain.configurate_domain(poly_num=opt_params.n_polys,
-                                                        points_num=opt_params.n_points,
-                                                        is_closed=opt_params.is_closed)
-
-estimator = multiobj_estimator.configurate_estimator(domain=domain)
-sampler = line_sampler.configurate_sampler(domain=domain)
-optimizer = multiobj_optimizer.configurate_optimizer(pop_size=opt_params.pop_size,
-                                                     crossover_rate=opt_params.c_rate,
-                                                     mutation_rate=opt_params.m_rate,
-                                                     task_setup=task_setup)
-
-# ------------
-# Generative design stage
-# ------------
-
-start = timeit.default_timer()
-optimized_pop = design(n_steps=opt_params.n_steps,
-                       pop_size=opt_params.pop_size,
-                       estimator=estimator,
-                       sampler=sampler,
-                       optimizer=optimizer)
-spend_time = timeit.default_timer() - start
-
-# ------------
-# Visualization optimized structure
-# ------------
-
-with open(f'HistoryFiles/performance_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    performance = pickle.load(f)
-
-with open(f'HistoryFiles/population_{opt_params.n_steps - 1}.pickle', 'rb') as f:
-    population = pickle.load(f)
-
-idx_of_best = performance.index(min(performance))
-
-visualiser = StructVizualizer(task_setup.domain)
-plt.figure(figsize=(7, 7))
-
-info = {'spend_time': spend_time,
-        'fitness': performance[idx_of_best],
-        'type': 'prediction'}
-plt.scatter(150, 150, label='target')
-visualiser.plot_structure(population[idx_of_best], info)
-
-plt.show()
diff --git a/cases/synthetic/syn_gen/Comsol_points/lightning.txt b/cases/synthetic/syn_gen/Comsol_points/lightning.txt
new file mode 100644
index 000000000..eb0e247ca
--- /dev/null
+++ b/cases/synthetic/syn_gen/Comsol_points/lightning.txt
@@ -0,0 +1,8 @@
+30 45
+55 60
+48.697025299072266 68.69702529907227
+60 80
+55 85
+39.34726333618164 69.34726333618164
+48.697025299072266 60
+30 45
diff --git a/docs/source/api/configuration.rst b/docs/source/api/configuration.rst
new file mode 100644
index 000000000..b18f20c40
--- /dev/null
+++ b/docs/source/api/configuration.rst
@@ -0,0 +1,39 @@
+.. _configuration:
+
+=============
+Configuration
+=============
+
+To run the experiment, the user should define 3 components: the domain of the problem, 
+objectives and hyperparameters of the algorithm. 
+Since it is easiest way to define objective in a python script, GEFEST provides two options 
+for experiments configuration: python config and mixed config.
+
+**Python** configuration, as the name implies, is just python script, in which user shoud define 
+task objectives, Domain and OptimizationParams objects (TunerParams also if required), and some domain 
+pre-computaions.
+
+**Mixed** configuration assumes that configuration objects (Domain, OptimizationParams, TunerParams) will be 
+read from yaml file, while objective stay in python script.
+
+
+OptimizationParams
+~~~~~~~~~~~~~~~~~~
+
+.. autopydantic_model:: gefest.core.configs.optimization_params.OptimizationParams
+
+TunerParams
+~~~~~~~~~~~
+
+.. autopydantic_model:: gefest.core.configs.tuner_params.TunerParams
+
+Domain
+~~~~~~
+
+.. autopydantic_model:: gefest.core.geometry.domain.Domain
+
+Utils
+~~~~~~
+
+.. automodule:: gefest.core.configs.utils
+   :members:
diff --git a/docs/source/api/geometry/datastructs.rst b/docs/source/api/geometry/datastructs.rst
new file mode 100644
index 000000000..2760712b3
--- /dev/null
+++ b/docs/source/api/geometry/datastructs.rst
@@ -0,0 +1,27 @@
+===========
+Datastructs
+===========
+
+Сlasses for representing geometric entities during optimization.
+These classes are pydantic models, which simplifies serialization, deserialization, validation and configuring experiments.
+
+Point
+~~~~~
+
+.. autoclass:: gefest.core.geometry.datastructs.point.Point
+   :members:
+   :no-undoc-members:
+
+Polygon
+~~~~~
+
+.. autoclass:: gefest.core.geometry.datastructs.polygon.Polygon
+   :members:
+   :no-undoc-members:
+
+Structure
+~~~~~
+
+.. autoclass:: gefest.core.geometry.datastructs.structure.Structure
+   :members:
+   :no-undoc-members:
diff --git a/docs/source/components/geometry.rst b/docs/source/api/geometry/geometry.rst
similarity index 85%
rename from docs/source/components/geometry.rst
rename to docs/source/api/geometry/geometry.rst
index b06621b53..545da258c 100644
--- a/docs/source/components/geometry.rst
+++ b/docs/source/api/geometry/geometry.rst
@@ -1,6 +1,6 @@
-=========
-Geometry
-=========
+===================
+Geometry operations
+===================
 
 class Geometry
 ~~~~~~~~~~~~~~
@@ -18,5 +18,3 @@ geometrical figures. The most of implemented methods based on
 the **shapely** library.
 
 .. autoclass:: gefest.core.geometry.geometry_2d.Geometry2D
-
-
diff --git a/docs/source/api/geometry/index.rst b/docs/source/api/geometry/index.rst
new file mode 100644
index 000000000..91948c317
--- /dev/null
+++ b/docs/source/api/geometry/index.rst
@@ -0,0 +1,12 @@
+========
+Geometry
+========
+
+GEFEST uses shapely (https://github.com/shapely/shapely) as backend for geometric operations.
+
+.. toctree::
+   :glob:
+   :maxdepth: 2
+
+   datastructs
+   geometry
diff --git a/docs/source/api/index.rst b/docs/source/api/index.rst
new file mode 100644
index 000000000..1e80ebe1f
--- /dev/null
+++ b/docs/source/api/index.rst
@@ -0,0 +1,16 @@
+API Reference
+=============
+
+This section of the documentation contains GEFEST API description.
+
+
+.. toctree::
+   :glob:
+   :maxdepth: 2
+   
+   ./configuration
+   ./geometry/index
+   ./optimization/index
+   ./utils
+   ./visualisation
+   ./tools/index
diff --git a/docs/source/api/optimization/adapters.rst b/docs/source/api/optimization/adapters.rst
new file mode 100644
index 000000000..85b504871
--- /dev/null
+++ b/docs/source/api/optimization/adapters.rst
@@ -0,0 +1,29 @@
+==============
+GOLEM adapters
+==============
+
+Adapters of GEFEST modules to use optimization algorithms from GOLEM.
+
+Sampler adapter
+~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.adapters.factories
+   :members:
+
+Mutation and crossover adapter
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.adapters.operator
+   :members:
+
+Structure adapter
+~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.adapters.structure
+   :members:
+
+Configuration translators
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.adapters.configuration_mapping
+   :members:
diff --git a/docs/source/api/optimization/index.rst b/docs/source/api/optimization/index.rst
new file mode 100644
index 000000000..cd036b60a
--- /dev/null
+++ b/docs/source/api/optimization/index.rst
@@ -0,0 +1,14 @@
+============
+Optimization
+============
+
+
+.. toctree::
+   :glob:
+   :maxdepth: 3
+
+   adapters
+   objective
+   operators
+   postprocessing
+   strategies
diff --git a/docs/source/api/optimization/objective.rst b/docs/source/api/optimization/objective.rst
new file mode 100644
index 000000000..b235abd67
--- /dev/null
+++ b/docs/source/api/optimization/objective.rst
@@ -0,0 +1,17 @@
+=========
+Objective
+=========
+
+
+GEFEST objective base class
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: gefest.core.opt.objective.objective.Objective
+   :members:
+
+
+Objective evaluator
+~~~~~~~~~~~~~~~~~~~
+
+.. autoclass:: gefest.core.opt.objective.objective_eval.ObjectivesEvaluator
+   :members:
diff --git a/docs/source/api/optimization/operators.rst b/docs/source/api/optimization/operators.rst
new file mode 100644
index 000000000..b817148dc
--- /dev/null
+++ b/docs/source/api/optimization/operators.rst
@@ -0,0 +1,25 @@
+=========
+Operators
+=========
+
+Crossovers, mutations and selections operations.
+
+Crossovers
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.operators.crossovers
+   :members:
+
+
+Mutations
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.operators.mutations
+   :members:
+
+
+Selections
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.operators.selections
+   :members:
diff --git a/docs/source/api/optimization/postprocessing.rst b/docs/source/api/optimization/postprocessing.rst
new file mode 100644
index 000000000..d307a2e01
--- /dev/null
+++ b/docs/source/api/optimization/postprocessing.rst
@@ -0,0 +1,35 @@
+==============
+Postprocessing
+==============
+
+This module provides operations for validation structures and correcting invalid ones.
+
+Postprocessor
+~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.postproc.resolve_errors
+   :members:
+
+Base rule classes
+~~~~~~~~~~~~~
+
+All new rules shoud use one of this classes as parent.
+
+.. automodule:: gefest.core.opt.postproc.rules_base
+   :members:
+
+Rules
+~~~~~
+
+Collection of default rules.
+
+.. automodule:: gefest.core.opt.postproc.rules
+   :members:
+
+Validation
+~~~~~
+
+Util for run validation part of rules.
+
+.. automodule:: gefest.core.opt.postproc.validation
+   :members:
diff --git a/docs/source/api/optimization/strategies.rst b/docs/source/api/optimization/strategies.rst
new file mode 100644
index 000000000..c364d5395
--- /dev/null
+++ b/docs/source/api/optimization/strategies.rst
@@ -0,0 +1,24 @@
+==========
+Strategies
+==========
+
+Strategies describes realization of specific optimization algorithm step.
+GEFEST provides two default  strategies for crossover and mutation steps.
+
+Strategy base class
+~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.strategies.strategy
+   :members:
+
+Default crossover strategy
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.strategies.crossover
+   :members:
+
+Default mutation strategy
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.core.opt.strategies.mutation
+   :members:
diff --git a/docs/source/api/tools/estimators.rst b/docs/source/api/tools/estimators.rst
new file mode 100644
index 000000000..efdbeeec5
--- /dev/null
+++ b/docs/source/api/tools/estimators.rst
@@ -0,0 +1,34 @@
+==========
+Estimators
+==========
+
+The purpose of an estimator is to calculate the component of the fitness function 
+that requires physical simulation, for example, using differential equations or surrogate models. 
+The estimator should mainly implement an interface of interaction with external stimulatior, 
+such as comsol multiphysics, SWAN or neural network models.
+
+GEFEST provides estimators for several tasks.
+
+Estimator interface
+~~~~~~~~~
+
+.. automodule:: gefest.tools.estimators.estimator
+   :members:
+
+SWAN estimator
+~~~~~~~~~
+
+.. automodule:: gefest.tools.estimators.simulators.swan.swan_interface
+   :members:
+
+Sound waves estimator
+~~~~~~~~~
+
+.. automodule:: gefest.tools.estimators.simulators.sound_wave.sound_interface
+   :members:
+
+Comsol estimator
+~~~~~~~~~
+
+.. automodule:: gefest.tools.estimators.simulators.comsol.comsol_interface
+   :members:
\ No newline at end of file
diff --git a/docs/source/api/tools/index.rst b/docs/source/api/tools/index.rst
new file mode 100644
index 000000000..5f2a32357
--- /dev/null
+++ b/docs/source/api/tools/index.rst
@@ -0,0 +1,14 @@
+=====
+Tools
+=====
+
+The model contains spicific implementations of optimizers, sampler, estimators and tuners.
+
+.. toctree::
+   :glob:
+   :maxdepth: 2
+
+   ./optimizers
+   ./estimators
+   ./samplers
+   ./tuners
diff --git a/docs/source/api/tools/optimizers.rst b/docs/source/api/tools/optimizers.rst
new file mode 100644
index 000000000..343772944
--- /dev/null
+++ b/docs/source/api/tools/optimizers.rst
@@ -0,0 +1,40 @@
+==========
+Optimizers
+==========
+
+GEFEST provides optimizers for single and multi objective tasks.
+
+
+Optimizer interface
+~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.optimizers.optimizer
+   :members:
+
+Defalt single-objective GA
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.optimizers.GA.GA
+   :members:
+
+SPEA2
+~~~~~
+
+.. automodule:: gefest.tools.optimizers.SPEA2.SPEA2
+   :members:
+
+Standard optimizer with GOLEM backend
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.optimizers.golem_optimizer.standard
+   :members:
+
+Golem based surrogate optimizer
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.optimizers.golem_optimizer.surrogate
+   :members:
+
+*Note*: GOLEM based optimizers provides single/multiobjective optimizations and other features, 
+e.g. adaptive mutation strategies. For details see OptimizationParams class and GOLEM docs (https://thegolem.readthedocs.io/en/latest/). 
+
diff --git a/docs/source/api/tools/samplers.rst b/docs/source/api/tools/samplers.rst
new file mode 100644
index 000000000..8d666930a
--- /dev/null
+++ b/docs/source/api/tools/samplers.rst
@@ -0,0 +1,16 @@
+========
+Samplers
+========
+
+
+Sampler interface
+~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.samplers.sampler
+   :members:
+
+Standard sampler
+~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.samplers.standard.standard
+   :members:
diff --git a/docs/source/api/tools/tuners.rst b/docs/source/api/tools/tuners.rst
new file mode 100644
index 000000000..b9291f65d
--- /dev/null
+++ b/docs/source/api/tools/tuners.rst
@@ -0,0 +1,15 @@
+======
+Tuners
+======
+
+GolemTuner
+~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.tuners.tuner
+   :members:
+
+Utils
+~~~~~~~~~~~~~~~~~~~
+
+.. automodule:: gefest.tools.tuners.utils
+   :members:
\ No newline at end of file
diff --git a/docs/source/api/utils.rst b/docs/source/api/utils.rst
new file mode 100644
index 000000000..328d57d5c
--- /dev/null
+++ b/docs/source/api/utils.rst
@@ -0,0 +1,23 @@
+=====
+Utils
+=====
+
+General purpose utilities
+
+Functions
+~~~~~~~~~
+
+.. automodule:: gefest.core.utils.functions
+   :members:
+
+Logger
+~~~~~~~
+
+.. automodule:: gefest.core.utils.logger
+   :members:
+
+Parallel execution
+~~~~~~
+
+.. automodule:: gefest.core.utils.parallel_manager
+   :members:
diff --git a/docs/source/api/visualisation.rst b/docs/source/api/visualisation.rst
new file mode 100644
index 000000000..f89860b20
--- /dev/null
+++ b/docs/source/api/visualisation.rst
@@ -0,0 +1,8 @@
+.. _structvizualizer:
+
+=============
+Visualization
+=============
+
+.. automodule:: gefest.core.viz.struct_vizualizer
+   :members:
diff --git a/docs/source/components/algorithm.rst b/docs/source/components/algorithm.rst
deleted file mode 100644
index 6f317a00e..000000000
--- a/docs/source/components/algorithm.rst
+++ /dev/null
@@ -1,17 +0,0 @@
-Algorithms
-==========
-
-Validation
-~~~~~~~~~~
-
-.. automodule:: gefest.core.algs.geom.validation
-   :members:
-   :no-undoc-members:
-
-
-Postprocessing
-~~~~~~~~~~~~~~
-
-.. automodule:: gefest.core.algs.postproc.resolve_errors
-   :members:
-   :no-private-members:
diff --git a/docs/source/components/index.rst b/docs/source/components/index.rst
deleted file mode 100644
index 557583843..000000000
--- a/docs/source/components/index.rst
+++ /dev/null
@@ -1,15 +0,0 @@
-Components
-==========
-
-**That is about modules into GEFEST**
-
-.. toctree::
-   :glob:
-   :maxdepth: 2
-
-   structure
-   geometry
-   algorithm
-   optimization
-   visualization
-   
\ No newline at end of file
diff --git a/docs/source/components/optimization.rst b/docs/source/components/optimization.rst
deleted file mode 100644
index b3d2fb63a..000000000
--- a/docs/source/components/optimization.rst
+++ /dev/null
@@ -1,36 +0,0 @@
-============
-Optimization
-============
-
-
-Genetic
-~~~~~~~
-
-.. autoclass:: gefest.core.opt.GA.base_GA.BaseGA
-   :members:
-   :no-undoc-members:
-
-.. autoclass:: gefest.core.opt.GA.GA.GA
-   :members:
-   :no-undoc-members:
-
-
-Operators
-~~~~~~~~~
-
-.. automodule:: gefest.core.opt.operators.crossover
-   :members: crossover
-   :exclude-members: crossover_worker
-
-.. automodule:: gefest.core.opt.operators.mutation
-   :members: mutation
-   :no-undoc-members:
-
-
-Optimization
-~~~~~~~~~~~~
-
-.. automodule:: gefest.core.opt.optimize
-   :members: optimize
-
-.. autoclass:: gefest.core.opt.setup.Setup
\ No newline at end of file
diff --git a/docs/source/components/structure.rst b/docs/source/components/structure.rst
deleted file mode 100644
index b9192ede6..000000000
--- a/docs/source/components/structure.rst
+++ /dev/null
@@ -1,31 +0,0 @@
-=========
-Structure
-=========
-
-There is a description of structural elements that allow to create
-geometrical objects. Any geometrical figure might be created via set of
-3D :obj:`Point`, :obj:`Polygon` and :obj:`Structure` objects. 
-The class Domain which using for determinate default settings has shown below.
-
-class Point
-~~~~~~~~~~~~
-.. autoclass:: gefest.core.structure.point.Point
-   :members:
-   :no-undoc-members:
-
-class Polygon
-~~~~~~~~~~~~~
-.. autoclass:: gefest.core.structure.polygon.Polygon
-
-class Structure
-~~~~~~~~~~~~~~~
-.. autoclass:: gefest.core.structure.structure.Structure
-   :members:
-   :no-undoc-members:
-
-class Domain
-~~~~~~~~~~~~
-
-.. autoclass:: gefest.core.structure.domain.Domain
-   :members:
-   :no-undoc-members:
diff --git a/docs/source/components/visualization.rst b/docs/source/components/visualization.rst
deleted file mode 100644
index bd3195b2a..000000000
--- a/docs/source/components/visualization.rst
+++ /dev/null
@@ -1,6 +0,0 @@
-=============
-Visualization
-=============
-
-.. autoclass:: gefest.core.viz.struct_vizualizer.StructVizualizer
-   :members:
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 410a24f46..d55373a67 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -41,6 +41,7 @@
     'sphinx.ext.autosummary',
     'sphinx.ext.autodoc.typehints',
     'sphinx.ext.graphviz',
+    'sphinxcontrib.autodoc_pydantic',
 ]
 
 # Add any paths that contain templates here, relative to this directory.
diff --git a/docs/source/contribution.rst b/docs/source/contribution.rst
index 99e7c4b7c..c1a000fa6 100644
--- a/docs/source/contribution.rst
+++ b/docs/source/contribution.rst
@@ -55,6 +55,24 @@ repository <https://github.com/ITMO-NSS-team/GEFEST/>`__ on GitHub:
 
          $ pytest -s
 
+7. After all the necessary code is added and tested, make sure there is no flake8 errors.
+
+Run autoformatters:
+
+:: 
+
+      $ brunette gefest test
+      $ isort gefest test
+
+Run code style checks:
+
+::  
+
+      $ flake8 gefest test --count --statistics
+
+If flake8 throws errors that are inconsistent or difficult to fix by editing new code, 
+exclude them in setup.cfg or create an issue.
+
 7. When you're done editing and local testing, run:
 
    ::
diff --git a/docs/source/gefest/quickstart.rst b/docs/source/gefest/quickstart.rst
index 230e67b76..8cee123c2 100644
--- a/docs/source/gefest/quickstart.rst
+++ b/docs/source/gefest/quickstart.rst
@@ -1,3 +1,5 @@
+.. _quickstart:
+
 Quickstart
 ==========
 
@@ -7,151 +9,236 @@ GEFEST Framework quick start guide
 How to install
 --------------
 
-Tested on python 3.7
+Tested on python 3.9-3.10
 
 .. code::
 
  pip install https://github.com/ITMO-NSS-team/GEFEST/archive/master.zip
 
-How to design your own polygon in manual way
-----------------------------------------------------
+How to run  
+----------
 
--  **Step 1**. Define estimator using loss function or simulator of the physical process.
+To run examples or custom config just use `run_experiments` and provide absolute path to config file.
 
-Loss function for finding a polygon that seems like circle showed below. 
+You can use it as API:
 
 .. code:: python
 
- from types import SimpleNamespace
- import numpy as np 
- from gefest.tools.estimators.estimator import Estimator
- from gefest.core.geometry.geometry_2d import Geometry2D
- 
- geometry = Geometry2D()
+    from gefest.tools.run_experiments import run_experiments    
+
+    path = 'C:\\Your\\Folder\\GEFEST\\cases\\synthetic\\circle\\multi_objective.py'
+    run_experiments(path)
+
+Or as CLI script:
+
+.. code:: 
 
+    python run_experiments.py C:\Path\To\Config\python_config.py
 
- def circle_loss(structure):
-     #calculating area and length of designed polygon via GEFEST.gefest methods
- 
-     best = 999999
-     for idx, polygon in enumerate(structure.polygons):
-         area = geometry.get_square(polygon)
-         length = geometry.get_length(polygon)
-         centroid = geometry.get_centroid(polygon)
+How to design experiment with GEFEST
+------------------------------------
 
-         if area == 0:
-             continue
-         #checking "area/length" ratio (equal 1 for circle)
-         ratio = 4 * np.pi * area / length ** 2
-         loss = 1 - ratio
+To run an experiment, you need to define several entities: 
+    1. Objectives
+    2. Domain
+    3. TunerParams (if needed)
+    4. OptimizationParams
 
-         if loss < best:
-             best = loss
+They can be defined in the experiment startup script, 
+or placed in a separate python file and loaded using `gefest.core.configs.utils.load_config` function.
 
-     return best
- 
- estimator = SimpleNamespace()
- estimator.estimate = circle_loss
- estimator = Estimator(estimator=estimator)
+All of them aggreagted into single `OptimizationParams` object.
 
--  **Step 2**. Specify border coordinates of area where GEFEST will solve the task.
+Let's take a step-by-step look at how to do this.
 
-Put the *Domain* to *Setup()* class for creating a task variable.
+-  **Step 0**. Import required GEFEST modules.
 
 .. code:: python
-    
- from gefest.core.structure.domain import Domain
- from gefest.core.opt.setup import Setup
 
- domain = Domain(allowed_area=[
-                   (0, 0), 
-                   (0, 300), 
-                   (300, 300),
-                   (300, 0), 
-                   (0, 0)
-                ],
+    from gefest.core.configs.optimization_params import OptimizationParams
+    from gefest.core.configs.tuner_params import TunerParams
+    from gefest.core.geometry.datastructs.structure import Structure
+    from gefest.core.geometry.domain import Domain
+    from gefest.core.opt.objective.objective import Objective
+    from gefest.tools.estimators.estimator import Estimator
 
-                # specify processing way
-                geometry=geometry,
+-  **Step 1**. Define objectives using loss function and simulator of the physical process if required.
 
-                # every designed polygon locates into Structure(),
-                # these parameters determine number of polygons per Structure()
-                max_poly_num=3,
-                min_poly_num=1,
+Objective for finding a polygon that seems like circle showed below.
 
-                # every designed polygon might сontain up to 20 points
-                max_points_num=20,
-                min_points_num=5,
+Inherit from Objective, pass domain and estimator through `__init__`.
+Define logic of objective evaluation in `_evaluate` method, which returns float value.
+If you want to solve multiobjective optimisation task, just define more objectives classes below.
 
-                # designed polygons have closed borders
-                is_closed=True)
+.. code:: python
 
- task_setup = Setup(domain=domain)
+    import numpy as np
 
--  **Step 3** Create sampler to generate population in specified domain.
+    class AreaLengthRatio(Objective):
+        """Area length ratio metric."""
+        def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+            super().__init__(domain, estimator)
+
+        def _evaluate(self, ind: Structure) -> float:
+
+            num = 3
+            num_polys = len(ind.polygons)
+            loss = 0
+            for poly in ind.polygons:
+                area = self.domain.geometry.get_square(poly)
+                length = self.domain.geometry.get_length(poly)
+                if area == 0:
+                    ratio = None
+                else:
+                    ratio = 1 - 4 * np.pi * area / length ** 2
+
+                loss += ratio
+
+            loss = loss + 20 * abs(num_polys - num)
+            return loss
+
+
+
+-  **Step 2**. Define task domain.
+
+Domain describes geometric constraints for individuals.
 
 .. code:: python
+    
+    domain_cfg = Domain(
+        allowed_area=[
+            [0, 0],
+            [0, 300],
+            [300, 300],
+            [300, 0],
+            [0, 0],
+        ],
+        min_poly_num=1,
+        max_poly_num=4,
+        min_points_num=3,
+        max_points_num=15,
+        polygon_side=0.0001,
+        min_dist_from_boundary=0.0001,
+        geometry_is_convex=True,
+        geometry_is_closed=True,
+    )
+
+-  **Step 3** Create sampler to generate population in specified domain.
 
- from gefest.tools.samplers.standard.standard import StandardSampler
- from gefest.tools.samplers.sampler import Sampler
+By default, the standard sampler is used.
+You can select another sampler or define custom for spicific task.
+How to define your own samler described in the tutorials section of the documentation.
 
- sampler = Sampler(StandardSampler(), domain)
+-  **Step 4**. Define tuner configuraton.
 
--  **Step 4**. Create optimizer. 
+You can tune coordinates of optimized structures points to achieve better objective metric using GOLEM tuners.
+To use this feature define `TunerParams` configuration.
 
 .. code:: python
 
- from gefest.tools.optimizers.GA.GA import GA
- from gefest.tools.optimizers.optimizer import Optimizer
- from gefest.core.opt.operators.operators import default_operators
- from gefest.tools.samplers.standard.standard import StandardSampler
+    tuner_cfg = TunerParams(
+        tuner_type='optuna',
+        n_steps_tune=10,
+        hyperopt_dist='uniform',
+        verbose=True,
+        timeout_minutes=60,
+    )
 
- n_steps = 25
- pop_size = 25
+-  **Step 5**. Define OptimisationParams config.
 
- params = GA.Params(pop_size=pop_size,
-                    crossover_rate=0.6, 
-                    mutation_rate=0.6,
-                    mutation_value_rate=[])
- ga = GA(params=params,
-         evolutionary_operators=default_operators(), 
-         task_setup=task_setup)
+To know more about configuration options see :ref:`configuration` section of API reference. 
 
- optimizer = Optimizer(ga)
+.. code:: python
 
--  **Step 5**. Run generative design. 
+    opt_params = OptimizationParams(
+        optimizer='gefest_ga',
+        domain=domain_cfg,
+        tuner_cfg=tuner_cfg,
+        n_steps=50,
+        pop_size=50,
+        postprocess_attempts=3,
+        mutation_prob=0.6,
+        crossover_prob=0.6,
+        mutations=[
+            'rotate_poly',
+            'resize_poly',
+            'add_point',
+            'drop_point',
+            'add_poly',
+            'drop_poly',
+            'pos_change_point',
+        ],
+        selector='tournament_selection',
+        mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+        crossovers=[
+            'polygon_level',
+            'structure_level',
+        ],
+        crossover_each_prob=[0.0, 1.0],
+        postprocess_rules=[
+            'not_out_of_bounds',
+            'valid_polygon_geom',
+            'not_self_intersects',
+            'not_too_close_polygons',
+            'not_too_close_points',
+        ],
+        extra=5,
+        n_jobs=-1,
+        log_dir='logs',
+        run_name='run_name',
+        golem_keep_histoy=False,
+        golem_genetic_scheme_type='steady_state',
+        golem_surrogate_each_n_gen=5,
+        objectives=[
+            AreaLengthRatio(domain_cfg),
+        ],
+    )
+
+-  **Step 5**. Run generative design and results visualisation. 
+
+Now you can run the optimization as it was described above in *How to run* section of this tutorial.
+Let's look at how it works inside.
 
 .. code:: python
 
- from gefest.core.opt.gen_design import design
+    from loguru import logger
+    from tqdm import tqdm
 
- optimized_population = design(n_steps=n_steps,
-                               pop_size=pop_size,
-                               estimator=estimator,
-                               sampler=sampler,
-                               optimizer=optimizer)
+    from gefest.core.configs.utils import load_config
+    from gefest.core.viz.struct_vizualizer import GIFMaker
+    from gefest.tools.tuners.tuner import GolemTuner
 
--  **Step 6**. Create visualization of the best structure in designed population.
+    config_path = 'your/config/absolute/path.py'
 
-.. code:: python
-    
- import pickle
- import matplotlib.pyplot as plt
- from gefest.core.viz.struct_vizualizer import StructVizualizer
-
- 
- with open(f'HistoryFiles/performance_{n_steps-1}.pickle', 'rb') as f:
-     performance = pickle.load(f)
- with open(f'HistoryFiles/population_{n_steps-1}.pickle', 'rb') as f:
-     population = pickle.load(f)
-
- idx_of_best = performance.index(min(performance))
- visualiser = StructVizualizer(task_setup.domain)
- plt.figure(figsize=(7, 7))
- info = {'fitness': f'{performance[idx_of_best]:.2f}',
-         'type': 'prediction'}
- visualiser.plot_structure([population[idx_of_best]], 
-                           [info],
-                           ['-'])
- plt.show()
- 
\ No newline at end of file
+    # Load config
+    opt_params = load_config(
+        config_path
+    )
+
+    # Initialize and run optimizer
+    optimizer = opt_params.optimizer(opt_params)
+    optimized_pop = optimizer.optimize()
+
+    # Optimized pop visualization
+    logger.info('Collecting plots of optimized structures...')
+    # GIFMaker object creates mp4 series of optimized structures plots
+    gm = GIFMaker(domain=opt_params.domain)
+    for st in tqdm(optimized_pop):
+        gm.create_frame(st, {'Optimized': st.fitness})
+
+    gm.make_gif('Optimized population', 500)
+
+    # Run tuning if it defined in cofiguration
+    if opt_params.tuner_cfg:
+        tuner = GolemTuner(opt_params)
+        tuned_individuals = tuner.tune(optimized_pop[: opt_params.tuner_cfg.tune_n_best])
+
+        # Tuned structures visualization
+        logger.info('Collecting plots of tuned structures...')
+        gm = GIFMaker(domain=opt_params.domain)
+        for st in tqdm(tuned_individuals):
+            gm.create_frame(st, {'Tuned': st.fitness})
+
+        gm.make_gif('Tuned individuals', 500)
+
+To plot spicific structures with matplotlib.pyplot see :ref:`structvizualizer` examples. 
diff --git a/docs/source/index.rst b/docs/source/index.rst
index acac021c9..9dafeae06 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -12,7 +12,8 @@ Content:
    :maxdepth: 1
 
    gefest/index
-   components/index
+   tutorials/index
+   api/index
    contribution
    faq
    about
diff --git a/docs/source/tutorials/index.rst b/docs/source/tutorials/index.rst
new file mode 100644
index 000000000..accffdfb9
--- /dev/null
+++ b/docs/source/tutorials/index.rst
@@ -0,0 +1,9 @@
+Tutorials
+=========
+
+.. toctree::
+   :glob:
+   :maxdepth: 1
+
+   optimisation
+   tuning
diff --git a/docs/source/tutorials/optimisation.rst b/docs/source/tutorials/optimisation.rst
new file mode 100644
index 000000000..abfb3e1f1
--- /dev/null
+++ b/docs/source/tutorials/optimisation.rst
@@ -0,0 +1,82 @@
+.. role:: raw-html-m2r(raw)
+   :format: html
+
+Optimisation
+============
+
+Optimisers summary
+------------------
+
+To solve the optimisation problem, 4 optimisers are available in GEFEST - 1 native and 2 based on GOLEM.
+All of them have a single interface and can be imported from ``gefest.tools.optimizers``.
+
+.. list-table:: Optimizers comparation
+   :header-rows: 1
+
+   * - 
+     - ``BaseGA``
+     - ``StandardOptimizer``
+     - ``SurrogateOptimizer``
+   * - **Backend**
+     - GEFEST
+     - GOLEM
+     - GOLEM
+   * - **Muti objective**
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+   * - **Evolutionary schemes**
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+   * - **Adaptive mutation strategies**
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+   * - **Surrogate optimisation**
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+
+
+``BaseGA`` implements the base genetic algorithm, that performs generation of the initial population,
+crossover and mutation operations, fitness estimation and selection.
+Each of the steps is encapsulated in a separate executor, which allows you to change the logic of individual steps.
+Thus, BaseGA essentially only implements the sequence of their call.
+
+``StandardOptimizer`` is a wrapper for GOLEM`s ``EvoGraphOptimizer`` optimiser.
+It allows to select different evolutionary schemes, adaptive mutation strategies and some other features.
+To use multiobjective optimisation set `golem_selection_type` in ``OptimizationParams`` config to 'spea2'.
+
+``SurrogateOptimizer`` is the extension of ``StandardOptimizer`` with the ability 
+to use a surrogate model to evaluate fitness along with the main estimator.
+
+Selectors summary
+-----------------
+
+``OptimizationParams`` have 3 parameters to configure selection strategy:
+ * ``golem_selection_type`` defines which selection function will be used by GOLEM optimisers. Available values: 'spea2' for multi objective and 'tournament' for single objective problems.
+ * ``selector`` defines which selection function will be used by GEFEST for single objective problems and also for multi objective fitnesses if it possible. Available values: 'tournament_selection' and 'roulette_selection'.
+ * ``multiobjective_selector`` defines which selection function will be used by GEFEST for multiobjective problems. Available values: 'spea2' and 'moead'.
+
+How to optimise
+---------------
+
+Easiest way to run optimiser described in :ref:`quickstart`.
+
+If you want to get some more control you can do it in code by import corresponding classes:
+
+.. code-block:: python
+
+   from gefest.tools.optimizers BaseGA, StandardOptimizer, SurrogateOptimizer
+
+   from gefest.core.configs.optimization_params import OptimizationParams
+   from gefest.core.geometry.datastructs.structure import Structure
+
+   opt_params: OptimizationParams = ...
+   
+   optimizer = BaseGA(opt_params)
+   optimized_population = optimizer.optimize(n_steps=42)
+
+By default initial population generates automatically with sampler from `opt_params`.
+It also can be provided as optional argument for optimiser constructor.
diff --git a/docs/source/tutorials/tuning.rst b/docs/source/tutorials/tuning.rst
new file mode 100644
index 000000000..eb02cc0b6
--- /dev/null
+++ b/docs/source/tutorials/tuning.rst
@@ -0,0 +1,83 @@
+.. role:: raw-html-m2r(raw)
+   :format: html
+
+Tuning
+======
+
+Tuners
+------
+
+GEFEST provides api for 4 tuners from `GOLEM <https://thegolem.readthedocs.io/en/latest/api/tuning.html>`_\ :
+
+.. list-table:: Tuners comparation
+   :header-rows: 1
+
+   * - 
+     - iopt
+     - optuna
+     - sequential
+     - simultaneous
+   * - **Nodes bypass**
+     - simultaneous
+     - simultaneous
+     - sequential
+     - simultaneous
+   * - **Backend**
+     - `iOpt <https://github.com/aimclub/iOpt>`_
+     - `Optuna <https://github.com/optuna/optuna>`_
+     - `Hyperopt <https://github.com/hyperopt/hyperopt>`_
+     - `Hyperopt <https://github.com/hyperopt/hyperopt>`_
+   * - **Multi objective**
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:green;color:white;font-weight:bold">Yes</code>`
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+     - :raw-html-m2r:`<code style="background:red;color:white;font-weight:bold">No</code>`
+
+How to tune
+-----------
+
+To initialize tuner and run tuning, similarly to the optimisers, you need an ``OptimizationParams`` 
+with defined ``TunerParams`` and also one or more ``Structure`` objects.
+
+More details about ``OptimizationParams`` you can find in `cases` and `API referece` sections of this documentation.
+
+Here we will take a closer look at several ``TunerParams`` attributes which may be unclear.
+
+.. code-block:: python
+
+   from gefest.tools.tuners.utils import percent_edge_variance
+
+   tuner_cfg = TunerParams(
+       tuner_type='optuna',
+       n_steps_tune=10,
+       hyperopt_dist='uniform',
+       variance_generator=percent_edge_variance,
+       verbose=True,
+       timeout_minutes=60,
+   )
+
+
+* 
+  ``tuner_type`` is responsible for which tuner will be used.
+
+* 
+  ``hyperopt_dist`` is the type of distribution from which random values will be taken during tuning. Available values are names of `hpyeropt hp module finctions <https://github.com/hyperopt/hyperopt/blob/master/hyperopt/hp.py>`_.
+
+* 
+  ``variance_generator`` is function that generates bounds of intervals from which random values should pe picked for all components of all point in structure. If normal distribution set they will be automatically converted into means and varicances.
+
+``verage_edge_variance`` function setes variance to 50% of average edge length for each polygon. This solution can be much more "greedy" than necessary, which can lead to many invalid intermediate variants during tuning. To improve fitness in fewer tuning steps, it is worth creating variance generation functions for selecting smaller intervals based on the conditions of a specific task.
+
+Now that the ``OptimizationParams`` have been defined and some structures have been created, we can run tuning with couple lines of code:
+
+.. code-block:: python
+
+   from gefest.core.configs.optimization_params import OptimizationParams
+   from gefest.core.geometry.datastructs.structure import Structure
+   from gefest.tools.tuners.tuner import GolemTuner
+
+   structs: list[Structure] | Structure = ...
+   opt_params: OptimizationParams = ...
+
+   tuner = GolemTuner(opt_params)
+   tuned_structs = tuner.tune(structs)
diff --git a/docs/tutorials/sample.rst b/docs/tutorials/sample.rst
deleted file mode 100644
index 8165da68f..000000000
--- a/docs/tutorials/sample.rst
+++ /dev/null
@@ -1,214 +0,0 @@
-Tutorial for beginners
-======================
-
-*Here is an example of breakwaters optimization. SWAN model need to be installed.
-You can find our configuration in simulators folder in INPUT file.
-It consist water area with two fixed breakwaters, bathymetry (specified in bathymetry folder) and land.
-Output file (wave height at each point of the water are) located is in the 'r' folder.*
-
-**1. Install last stable version of the GEFEST**
-
-Tested on python 3.7
-
-.. code-block:: python
-
-    pip install https://github.com/ITMO-NSS-team/GEFEST/archive/master.zip
-
-**2. Import needed libraries**
-
-.. code-block:: python
-
-    import timeit
-    import pickle
-    from types import SimpleNamespace
-
-    import matplotlib.pyplot as plt
-    import numpy as np
-
-    from gefest.core.geometry.geometry_2d import Geometry2D
-    from gefest.tools.estimators.simulators.swan.swan_interface import Swan
-    from gefest.core.opt.setup import Setup
-    from gefest.tools.optimizers.optimizer import Optimizer
-    from gefest.core.structure.domain import Domain
-    from gefest.core.structure.structure import Structure
-    from gefest.core.opt.analytics import EvoAnalytics
-    from gefest.core.viz.struct_vizualizer import StructVizualizer
-    from gefest.tools.estimators.estimator import Estimator
-    from gefest.tools.samplers.standard.standard import StandardSampler
-    from gefest.tools.samplers.sampler import Sampler
-    from gefest.tools.optimizers.SPEA2.SPEA2 import SPEA2
-    from gefest.core.opt.operators.operators import default_operators
-    from gefest.core.opt.gen_design import design
-    from gefest.tools.estimators.simulators.swan import swan_model
-    from gefest.core.structure.prohibited import create_prohibited
-
-**3. Settings for domain to be researched**
-
-*You have to set grid resolution on each axis (x and y), spatial grid
-and coordinates of your target (or targets) for which you want to optimize height of wave*
-
-.. code-block:: python
-
-    grid_resolution_x = 83  # Number of points on x-axis
-    grid_resolution_y = 58  # Number of points on y-axis
-    coord_X = np.linspace(0, 2075, grid_resolution_x + 1)  # X coordinate for spatial grid
-    coord_Y = np.linspace(0, 1450, grid_resolution_y + 1)  # Y coordinate for spatial grid
-    X, Y = np.meshgrid(coord_X, coord_Y)  # Two dimensional spatial grid
-    grid_target_X = 25  # X-grid coordinate of your target
-    grid_target_Y = 25  # Y-grid coordinate of your target
-
-**4. Create domain grid and coordinates of your targets**
-
-*As you can see, in this exampe we consider only one target*
-
-.. code-block:: python
-
-    grid = [grid_resolution_x, grid_resolution_y]
-    targets = [[grid_target_X, grid_target_Y]]
-
-**5. Set up domain configuration that GEFEST requires for every task**
-
-*Here we are working with open polygons*
-
-.. code-block:: python
-
-    fixed_area = [
-    [[471, 5], [1335, 2], [1323, 214], [1361, 277], [1395, 327], [1459, 405], [1485, 490], [1449, 521], [1419, 558],
-     [1375, 564], [1321, 469], [1248, 318], [1068, 272], [921, 225], [804, 231], [732, 266], [634, 331], [548, 405],
-     [485, 482], [424, 569], [381, 625], [310, 662], [271, 684], [244, 706], [203, 708], [182, 647], [214, 638],
-     [234, 632], [275, 588], [346, 475], [427, 366], [504, 240], [574, 166], [471, 5]],
-    [[652, 1451], [580, 1335], [544, 1253], [468, 1190], [439, 1170], [395, 1150], [378, 1115], [438, 1070],
-     [481, 1059], [508, 1076], [539, 1133], [554, 1183], [571, 1244], [594, 1305], [631, 1366], [657, 1414],
-     [671, 1449], [652, 1451]]
-    ]
-    fixed_targets = [[coord_X[26], coord_Y[49]], [coord_X[37], coord_Y[11]], [coord_X[60], coord_Y[5]]]
-    fixed_poly = [
-        [[878, 1433], [829, 1303], [739, 1116], [619, 995], [447, 962], [306, 1004], [254, 1092], [241, 1184],
-        [269, 1244],
-        [291, 1338], [370, 1450]],
-        [[878, 1433], [829, 1303], [739, 1116], [619, 995], [447, 962], [274, 868], [180, 813], [126, 717], [146, 580],
-        [203, 480], [249, 469], [347, 471]]
-    ]
-
-    # Creation of prohibited structure consist of targets, lines, areas
-    prohibited_structure = create_prohibited(
-                                targets=fixed_targets, 
-                                fixed_area=fixed_area,
-                                fixed_points=fixed_poly
-    )
-
-    fixed_points = [[[1000, 50], [700, 600], [800, 800]], 
-                    [[1900, 540], [1750, 1000]]]
-    is_closed = False
-    geometry = Geometry2D(is_closed=is_closed)
-    domain = Domain(allowed_area=[(min(coord_X), min(coord_Y)),
-                                (min(coord_X), max(coord_Y)),
-                                (max(coord_X), max(coord_Y)),
-                                (max(coord_X), min(coord_Y))],
-                    geometry=geometry,
-                    max_poly_num=3,
-                    min_poly_num=1,
-                    max_points_num=10,
-                    min_points_num=2,
-                    prohibited_area=prohibited_structure,
-                    fixed_points=fixed_points,
-                    is_closed=is_closed)
-    task_setup = Setup(domain=domain)
-
-**6. Preparation of the SWAN model**
-
-*You need to set path to folder with swan.exe file. 
-Our SWAN interface uses this path, domain grid, GEFEST domain and coordinates of targets*
-
-.. code-block:: python
-
-    path = swan_model.__file__[:-11]
-    swan = Swan(path=path,
-                targets=targets,
-                grid=grid,
-                domain=domain)
-    max_length = np.linalg.norm(np.array([max(coord_X) - min(coord_X), max(coord_Y) - min(coord_Y)]))
-
-**7. Definition of the cost function and estimator**
-
-*There is a cost function as sum of cost of structure and wave height at the target points*
-
-.. code-block:: python
-
-    def cost(struct, estimator):
-        max_length = np.linalg.norm(
-            np.array([max(coord_X) - min(coord_X), 
-                    max(coord_Y) - min(coord_Y)]))
-        lengths = 0
-        for poly in struct.polygons:
-            if poly.id != 'fixed':
-                length = geometry.get_length(poly)
-                lengths += length
-
-        _, hs = estimator.estimate(struct)
-        loss = [hs, 2 * lengths / max_length]
-
-        return loss
-    
-    estimator = Estimator(estimator=swan, loss=cost)
-
-**8. Definition of the sampler** 
-
-.. code-block:: python
-
-    sampler = Sampler(sampler=StandardSampler(), domain=domain)
-
-**9. Definition of the optimizer**
-
-.. code-block:: python
-    
-    pop_size = 10
-    n_steps = 10
-
-    params = SPEA2.Params(pop_size=pop_size,
-                          crossover_rate=0.6,
-                          mutation_rate=0.6,
-                          mutation_value_rate=[])
-
-    spea2_optimizer = SPEA2(params=params,
-                            evolutionary_operators=default_operators(),
-                            task_setup=task_setup)
-
-**10. Run optimization**
-
-.. code-block:: python
-
-    start = timeit.default_timer()
-    optimized_pop = design(n_steps=n_steps,
-                           pop_size=pop_size,
-                           estimator=estimator,
-                           sampler=sampler,
-                           optimizer=spea2_optimizer)
-    spend_time = timeit.default_timer() - start
-
-**11. Vizualization of the result**
-
-.. code-block:: python
-
-    with open(f'HistoryFiles/performance_{n_steps-1}.pickle', 'rb') as f:
-        performance = pickle.load(f)
-    with open(f'HistoryFiles/population_{n_steps-1}.pickle', 'rb') as f:
-        population = pickle.load(f)
-            
-    performance_sum = [sum(pair) for pair in performance]
-    idx_of_best = performance_sum.index(min(performance_sum))
-
-    visualiser = StructVizualizer(task_setup.domain)
-    plt.figure(figsize=(7, 7))
-        
-    best = performance[idx_of_best]
-    info_optimized = {
-        'spend time': f'{spend_time:.2f}',
-        'fitness': f'[{best[0]:.3f}, {best[1]:.3f}]',
-        'type': 'prediction'}
-    visualiser.plot_structure(
-        [domain.prohibited_area, population[idx_of_best]], 
-        ['prohibited structures', info_optimized], 
-        [':', '-'])
-
-
diff --git a/gefest/core/algs/__init__.py b/gefest/core/algs/__init__.py
deleted file mode 100755
index e69de29bb..000000000
diff --git a/gefest/core/algs/geom/__init__.py b/gefest/core/algs/geom/__init__.py
deleted file mode 100755
index e69de29bb..000000000
diff --git a/gefest/core/algs/geom/validation.py b/gefest/core/algs/geom/validation.py
deleted file mode 100644
index 8d4fe0fbe..000000000
--- a/gefest/core/algs/geom/validation.py
+++ /dev/null
@@ -1,141 +0,0 @@
-"""
-Here are defined general constraints on polygons by validation rules.
-Validation is a checking on valid and invalid objects for further processing.
-"""
-
-from shapely.geometry import Point as GeomPoint, Polygon as GeomPolygon
-from shapely.validation import explain_validity
-from itertools import permutations
-
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.polygon import Polygon
-
-MIN_DIST = 15
-
-min_dist_from_boundary = 1
-
-
-def intersection(structure: 'Structure', domain: 'Domain') -> bool:
-    """The method for checking intersection between Polygons in the Structure
-    Args:
-        structure: the :obj:`Structure` that explore
-        domain: the :obj:`class Domain`
-    Returns:
-        ``True`` if at least one of the polygons in given :obj:`structure` intersects another,
-        otherwise - ``False``
-    """
-
-    polygons = structure.polygons
-    if len(polygons) < 2:
-        return False
-
-    for poly_1, poly_2 in permutations(polygons, 2):
-        if domain.geometry.intersects_poly(poly_1, poly_2):
-            return True
-
-    return False
-
-
-def out_of_bound(structure: 'Structure', domain=None) -> bool:
-    """The method for checking every polygon in the given :obj:`Structure`
-        on crossing borders of :obj:`Domain`
-
-        Args:
-            structure: the :obj:`Structure` that explore
-            domain: the :obj:`Domain` that determinates the main
-                parameters, this method requires ``allowed_area`` from :obj:`Domain`
-        Returns:
-        ``True`` if at least one of the polygons in given :obj:`structure` crossing borders
-        of allowed area, otherwise - ``False``
-    """
-    geom_poly_allowed = GeomPolygon([GeomPoint(pt[0], pt[1]) for pt in domain.allowed_area])
-
-    for poly in structure.polygons:
-        for pt in poly.points:
-            geom_pt = GeomPoint(pt.x, pt.y)
-            if not geom_poly_allowed.contains(geom_pt) and not \
-                    geom_poly_allowed.distance(geom_pt) < min_dist_from_boundary:
-                return True
-
-    return False
-
-
-def too_close(structure: 'Structure', domain: Domain) -> bool:
-    """Checking for too close location between every :obj:`Polygon` in the
-    given :obj:`Structure`
-    Args:
-        structure: the :obj:`Structure` that explore
-        domain: the :obj:`Domain` that determinates the main
-            parameters, this method requires ``min_dist`` from :obj:`Domain`
-    Returns:
-        ``True`` if at least one distance between any polygons is less than value of minimal
-        distance set by :obj:`Domain`, otherwise - ``False``
-    """
-    is_too_close = any(
-        [any([_pairwise_dist(poly_1, poly_2, domain) < domain.min_dist for
-              poly_2 in structure.polygons]) for poly_1
-         in structure.polygons])
-    return is_too_close
-
-
-def _pairwise_dist(poly_1: Polygon, poly_2: Polygon, domain: Domain):
-    """
-    ::TODO:: find the answer for the question: why return 0 gives infinite computation
-    """
-    if poly_1 is poly_2 or len(poly_1.points) == 0 or len(poly_2.points) == 0:
-        return 9999
-
-    # nearest_pts = domain.geometry.nearest_points(poly_1, poly_2) ??? why return only 1 point
-    return domain.geometry.min_distance(poly_1, poly_2)
-
-
-def self_intersection(structure: 'Structure') -> bool:
-    """The method indicates that any :obj:`Polygon` in the :obj:`Structure`
-    is self-intersected
-    Args:
-        structure: the :obj:`Structure` that explore
-    Returns:
-        ``True`` if at least one of the polygons in the :obj:`Structure` is
-        self-intersected, otherwise - ``False``
-    """
-    return any([len(poly.points) > 2 and
-                _forbidden_validity(explain_validity(GeomPolygon([GeomPoint(pt.x, pt.y) for pt in poly.points])))
-                for poly in structure.polygons])
-
-
-def unclosed_poly(structure: 'Structure', domain: 'Domain') -> bool:
-    """Checking for equality of the first and the last points
-    Args:
-        structure: the :obj:`Structure` that explore
-        domain: the :obj:`Domain` that determinates the main
-            parameters, this method requires ``is_closed`` from :obj:`Domain`
-    Returns:
-        ``True`` if patameter ``is_closed`` from :obj:`Domain` is ``True`` and at least
-        one of the polygons has unequality between the first one and the last point,
-        otherwise - ``False``
-    """
-
-    if domain.is_closed:
-        return any([poly.points[0] != poly.points[-1] for poly in structure.polygons])
-    else:
-        return False
-
-
-def is_contain(structure: 'Structure',
-               domain: 'Domain') -> bool:
-    is_contains = []
-
-    try:
-        for poly_area in domain.prohibited_area.polygons:
-            if poly_area.id == 'prohibited_area':
-                for poly in structure.polygons:
-                    is_contains.append(domain.geometry.contains(poly, poly_area))
-
-        return any(is_contains)
-
-    except AttributeError:
-        return False
-
-
-def _forbidden_validity(validity):
-    return validity != 'Valid Geometry' and 'Ring Self-intersection' not in validity
diff --git a/gefest/core/algs/postproc/__init__.py b/gefest/core/algs/postproc/__init__.py
deleted file mode 100755
index e69de29bb..000000000
diff --git a/gefest/core/algs/postproc/resolve_errors.py b/gefest/core/algs/postproc/resolve_errors.py
deleted file mode 100644
index 4a1759975..000000000
--- a/gefest/core/algs/postproc/resolve_errors.py
+++ /dev/null
@@ -1,132 +0,0 @@
-import numpy as np
-from copy import deepcopy
-
-from gefest.core.algs.geom.validation import out_of_bound, self_intersection, too_close, unclosed_poly
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Polygon, Structure, Point
-
-"""
-Defines methods to correct wrong structures (not satisfying the constraints)
-Function postprocess makes structures that satisfy the constraints given in validation
-"""
-
-
-def postprocess(structure: Structure, domain: Domain) -> Structure:
-    """The method process given :obj:`Structure` step by step while
-    it is not correct.
-    Args:
-        structure: the :obj:`Structure` that need correcting
-        domain: the :obj:`Domain` that determinates the main
-            parameters, it needs there for checking equality between given
-            :obj:`Structure` and set parameters in the :obj:`Domain`
-    Stages of processing:
-    Methods:
-        fixed poly: If ``fixed_points`` in the :obj:`Domain` set, they will be added to the structure
-        too close: Fixing proximity between polygons, for polygons that are closer than the
-            specified threshold, one of them will be removed (exclude fixed polygons)
-        self-intersection: Change self-intersected poly to convex
-        out of allowed area: Cut :obj:`Polygon` that is out of borders by borders, than rescale it
-            down to 80%
-        unclosed polygon: Fix for open polygons by adding first :obj:`Point` to end
-    Returns:
-        checked by rules on stages before and corrected :obj:`Structure`
-    """
-    corrected_structure = deepcopy(structure)
-
-    # Fixing each polygon in structure
-    try:
-        for i, poly in enumerate(corrected_structure.polygons):
-            local_structure = Structure([poly])
-            if unclosed_poly(local_structure, domain) and domain.is_closed:
-                corrected_structure.polygons[i] = _correct_unclosed_poly(poly)
-            if self_intersection(local_structure):
-                corrected_structure.polygons[i] = _correct_self_intersection(poly, domain)
-            if out_of_bound(local_structure, domain):
-                corrected_structure.polygons[i] = _correct_wrong_point(poly, domain)
-    except AttributeError:
-        return structure
-
-    #  Fixing proximity between polygons
-    if too_close(structure, domain):
-        corrected_structure = _correct_closeness(corrected_structure, domain)
-
-    # If you set fixed polygons in the domain, here they are added to the structure
-    if len(corrected_structure.polygons) > 0:
-        for fixed in domain.fixed_points:
-            if not (fixed.points == [p.points for p in corrected_structure.polygons]):
-                corrected_structure.polygons.append(deepcopy(fixed))
-
-    return corrected_structure
-
-
-def _correct_low_points(poly: 'Polygon',
-                        domain: 'Domain') -> Polygon:
-    new_point = Point(np.random.uniform(domain.min_x, domain.max_x),
-                      np.random.uniform(domain.min_y, domain.max_y))
-    poly.points.append(new_point)
-
-    return poly
-
-
-def _correct_unclosed_poly(poly: Polygon) -> Polygon:
-    # Simple fix for open polygons by adding first point to end
-    point_to_add = poly.points[0]
-    poly.points.append(point_to_add)
-    correct_poly = poly
-    return correct_poly
-
-
-def _correct_wrong_point(poly: Polygon, domain: Domain) -> Polygon:
-    point_moved = False
-    for p_id, point in enumerate(poly.points):
-        # Correcting each point out of bounds
-        if point in domain.fixed_points:
-            continue
-        point.x = max(point.x, domain.min_x + domain.len_x * 0.05)
-        point.y = max(point.y, domain.min_y + domain.len_y * 0.05)
-        point.x = min(point.x, domain.max_x + domain.len_x * 0.05)
-        point.y = min(point.y, domain.max_y + domain.len_y * 0.05)
-        if not domain.contains(point):
-            # if the point is not in the domain, we look for the nearest one inside
-            new_point = domain.geometry.nearest_point(point, domain.bound_poly)
-            poly.points[p_id] = new_point
-            point_moved = True
-
-    if point_moved:
-        poly = domain.geometry.resize_poly(poly=poly, x_scale=0.8, y_scale=0.8)
-
-    return poly
-
-
-def _correct_self_intersection(poly: Polygon, domain: Domain) -> Polygon:
-    # Change self-intersected poly to convex
-    convex_poly = domain.geometry.get_convex(poly)
-    return convex_poly
-
-
-def _correct_closeness(structure: Structure, domain: Domain) -> Structure:
-    """
-    For polygons that are closer than the specified threshold,
-    one of them will be removed
-    """
-    polygons = structure.polygons
-    num_poly = len(polygons)
-    to_delete = []
-
-    for i in range(num_poly - 1):
-        for j in range(i + 1, num_poly):
-            distance = _pairwise_dist(polygons[i], polygons[j], domain)
-            if distance < domain.min_dist:
-                if polygons[i].id != 'fixed' or 'prohibited':
-                    to_delete.append(i)  # Collecting polygon indices for deletion
-
-    to_delete_poly = [structure.polygons[i] for i in np.unique(to_delete)]
-    corrected_structure = Structure(polygons=[poly for poly in structure.polygons if poly not in to_delete_poly])
-    return corrected_structure
-
-
-def _pairwise_dist(poly_1: Polygon, poly_2: Polygon, domain: Domain) -> float:
-    if poly_1 is poly_2 or len(poly_1.points) == 0 or len(poly_2.points) == 0:
-        return 9999
-
-    return domain.geometry.min_distance(poly_1, poly_2)
diff --git a/gefest/core/algs/sensitivity/__init__.py b/gefest/core/algs/sensitivity/__init__.py
deleted file mode 100755
index e69de29bb..000000000
diff --git a/gefest/core/configs/optimization_params.py b/gefest/core/configs/optimization_params.py
new file mode 100644
index 000000000..88f161780
--- /dev/null
+++ b/gefest/core/configs/optimization_params.py
@@ -0,0 +1,252 @@
+from enum import Enum
+from functools import partial
+from typing import Any, Callable, Optional, Union
+
+from golem.core.optimisers.adaptive.operator_agent import MutationAgentTypeEnum
+from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
+from golem.core.optimisers.genetic.operators.selection import SelectionTypesEnum
+from pydantic import BaseModel, ConfigDict, model_validator
+
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.adapters.structure import StructureAdapter
+from gefest.core.opt.objective.objective import Objective
+from gefest.core.opt.operators.crossovers import CrossoverTypes, panmixis
+from gefest.core.opt.operators.multiobjective_selections import (
+    MultiObjectiveSelectionTypes,
+)
+from gefest.core.opt.operators.mutations import MutationTypes
+from gefest.core.opt.operators.selections import SelectionTypes
+from gefest.core.opt.postproc.resolve_errors import Postrocessor
+from gefest.core.opt.postproc.rules import PolygonRule, Rules, StructureRule
+from gefest.core.utils.logger import LogDispatcher
+from gefest.tools.optimizers import OptimizerTypes
+from gefest.tools.samplers.standard.standard import StandardSampler
+
+ValidRules = Enum(
+    'ValidRules',
+    ((value, value) for value in [r.name for r in Rules]),
+    type=str,
+)
+
+ValidMutations = Enum(
+    'ValidMutations',
+    ((value, value) for value in [r.name for r in MutationTypes]),
+    type=str,
+)
+
+ValidCrossovers = Enum(
+    'ValidCrossovers',
+    ((value, value) for value in [r.name for r in CrossoverTypes]),
+    type=str,
+)
+
+ValidSelection = Enum(
+    'ValidSelection',
+    ((value, value) for value in [r.name for r in SelectionTypes]),
+    type=str,
+)
+
+ValidMultiObjectiveSelection = Enum(
+    'ValidMultiObjectiveSelection',
+    ((value, value) for value in [r.name for r in MultiObjectiveSelectionTypes]),
+    type=str,
+)
+
+ValidOptimizer = Enum(
+    'ValidOptimizer',
+    ((value, value) for value in [r.name for r in OptimizerTypes]),
+    type=str,
+)
+
+
+class OptimizationParams(BaseModel):
+    """GEFEST configuration dataclass.
+
+    Attributes:
+        crossover_each_prob (Optional[list[float]]): Probability for each crossover operation.
+    """
+
+    n_steps: int
+    """Number optimization algorithm steps."""
+
+    pop_size: int
+    """Popultion size limit. Also auto-generated initial population size."""
+
+    domain: Domain
+    """Task domain."""
+
+    objectives: list[Union[Objective, Callable]]
+    """Task objectives."""
+
+    mutations: Union[list[Callable[[Any], Structure]], list[ValidMutations]]
+    """Mutation operations."""
+
+    crossovers: Union[list[Callable[[Any], tuple[Structure]]], list[ValidCrossovers]]
+    """Crossover operations."""
+
+    selector: Union[Callable, ValidSelection]
+    """Selection operation."""
+
+    multiobjective_selector: Union[Callable, ValidMultiObjectiveSelection] = 'moead'
+    """Evaluates one-dimensional fitness for multi objective.
+    Uses `selector` to select individuals by the produces values.
+    """
+    moead_multi_objective_selector_neighbors: int = 2
+    """Parameter used in moead selector."""
+
+    optimizer: ValidOptimizer = 'gefest_ga'
+    """Optimizer."""
+
+    pair_selector: Callable = panmixis
+    """Pairs selector for crossover operation."""
+
+    sampler: Callable = StandardSampler
+    """Structures sampler."""
+
+    postprocessor: Callable = Postrocessor.apply_postprocess
+    """Postprocessing module."""
+
+    postprocess_rules: Union[list[Union[PolygonRule, StructureRule]], list[ValidRules]]
+    """Postprocessing rules."""
+
+    mutation_strategy: str = 'MutationStrategy'
+    """Incapsulates mutation step logic."""
+
+    crossover_strategy: str = 'CrossoverStrategy'
+    """Incapsulates crossover step logic."""
+
+    postprocess_attempts: int = 3
+    """Nuber of attempts to correct invalid structures on postprocessing."""
+
+    mutation_prob: float = 0.6
+    """Probability to mutate structure."""
+
+    crossover_prob: float = 0.6
+    """Probability to crossover pair."""
+
+    mutation_each_prob: Optional[list[float]] = None
+    """Probability of each provided mutation operation to be applied."""
+
+    crossover_each_prob: Optional[list[float]] = None
+    """Probability of each provided crossover operation to be applied."""
+
+    extra: int = 5
+    """Number of extra structures to generate on each optimization step."""
+
+    estimation_n_jobs: Optional[int] = 1
+    """Number of cores for estimator parallel execution.
+    Use more than 1 core only if you are sure that a particular estimator supports it!
+    For example, if the estimator uses an external simulator,
+    uses parallel calculations by itself,
+    then increasing the number of jobs in the code may not have an effect
+    or even slow down the execution of the program.
+    """
+
+    n_jobs: Optional[int] = -1
+    """Nuber of cores to use in parallel execution of reproduction operations in GEFEST.
+        n_jobs = -1 to use all cores,
+        n_jobs > 0 to spicic number of cores,
+        n_jobs = 0 to eval sequentially without joblib,
+        use 0 for debug GEFEST only.
+    """
+
+    early_stopping_timeout: int = 60
+    """GOLEM argument.
+    For details see https://thegolem.readthedocs.io/en/latest/api/parameters.html
+    """
+
+    early_stopping_iterations: int = 1000
+    """GOLEM argument.
+    For details see:
+        https://thegolem.readthedocs.io/en/latest/api/parameters.html
+    """
+
+    golem_adapter: Callable = StructureAdapter
+    """Adapter for convertation GEFEST Structure into GOLEM OptGraph."""
+
+    tuner_cfg: Optional[TunerParams] = None
+    """Configuration for GOLEM tuner wrap."""
+
+    log_dir: str = 'logs'
+    """Directory for logs."""
+
+    run_name: str = 'run_name'
+    """Experiment name."""
+
+    log_dispatcher: Callable = LogDispatcher
+    """GEFEST logger."""
+
+    golem_keep_histoy: bool = False
+    """Enables/disables GOLEM experiment historry serialization."""
+
+    golem_genetic_scheme_type: GeneticSchemeTypesEnum = 'steady_state'
+    """GOLEM configuration argument `genetic_scheme_type`.
+        For details see:
+            https://thegolem.readthedocs.io/en/latest/api/parameters.html
+    """
+
+    golem_adaptive_mutation_type: MutationAgentTypeEnum = 'default'
+    """GOLEM configuration argument `adaptive_mutation_type`.
+        For details see:
+            https://thegolem.readthedocs.io/en/latest/api/parameters.html
+    """
+
+    golem_selection_type: SelectionTypesEnum = 'spea2'
+    """GOLEM configuration argument `selection_type`.
+        For details see:
+            https://thegolem.readthedocs.io/en/latest/api/parameters.html
+    """
+
+    golem_surrogate_each_n_gen: int = 5
+    """Frequency of usage surrogate model in `golem_surrogate` optimizer"""
+
+    @model_validator(mode='after')
+    def create_classes_instances(self):
+        """Selects and initializes specified modules."""
+        if isinstance(self.optimizer, str):
+            self.optimizer = getattr(OptimizerTypes, self.optimizer).value
+
+        if isinstance(self.postprocess_rules[0], str):
+            self.postprocess_rules = [getattr(Rules, name).value for name in self.postprocess_rules]
+
+        if isinstance(self.mutations[0], str):
+            self.mutations = [getattr(MutationTypes, name).value.func for name in self.mutations]
+
+        if isinstance(self.crossovers[0], str):
+            self.crossovers = [getattr(CrossoverTypes, name).value.func for name in self.crossovers]
+
+        if isinstance(self.golem_genetic_scheme_type, str):
+            self.selector = getattr(GeneticSchemeTypesEnum, self.golem_genetic_scheme_type.value)
+
+        if isinstance(self.selector, str):
+            self.selector = getattr(SelectionTypes, self.selector)
+
+        if isinstance(self.multiobjective_selector, str):
+            self.multiobjective_selector = getattr(
+                MultiObjectiveSelectionTypes,
+                self.multiobjective_selector,
+            ).value
+
+        if self.mutation_each_prob is None:
+            self.mutation_each_prob = [1 / len(self.mutations) for _ in range(len(self.mutations))]
+
+        if self.crossover_each_prob is None:
+            self.crossover_each_prob = [
+                1 / len(self.crossovers) for _ in range(len(self.crossovers))
+            ]
+
+        self.postprocessor = partial(
+            self.postprocessor,
+            domain=self.domain,
+            rules=self.postprocess_rules,
+            attempts=self.postprocess_attempts,
+        )
+        self.sampler = self.sampler(opt_params=self)
+        self.golem_adapter = self.golem_adapter(self.domain)
+        self.log_dispatcher = self.log_dispatcher(self.log_dir, self.run_name)
+
+        return self
+
+    model_config = ConfigDict({'arbitrary_types_allowed': True})
diff --git a/gefest/core/configs/tuner_params.py b/gefest/core/configs/tuner_params.py
new file mode 100644
index 000000000..1d5ba7f0c
--- /dev/null
+++ b/gefest/core/configs/tuner_params.py
@@ -0,0 +1,92 @@
+import inspect
+from ctypes import Structure
+from typing import Callable, Union
+
+from hyperopt import hp
+from pydantic import BaseModel, ConfigDict, field_validator
+
+from gefest.tools.tuners import utils
+
+
+class TunerParams(BaseModel):
+    """Dataclass for GolemTuner parameters aggreagtion.
+
+    Provides easy configuration for tuner
+    with built-in validation and serialization.
+    """
+
+    tuner_type: str
+    """Type of GOLEM tuners to use.
+    Available: 'iopt', 'optuna', 'sequential', 'simulataneous'.
+    For tuner details see:
+        https://thegolem.readthedocs.io/en/latest/api/tuning.html
+        https://fedot.readthedocs.io/en/latest/advanced/hyperparameters_tuning.html
+    """
+
+    n_steps_tune: int
+    """Number of tuner steps."""
+
+    tune_n_best: int = 1
+    """Top tune_n_best structures from provided population to tune."""
+
+    hyperopt_dist: Union[Callable, str] = hp.uniform
+    """Random distribution function."""
+
+    verbose: bool = True
+    """GOLEM console info."""
+
+    variacne_generator: Union[Callable[[Structure], list[float]], str] = utils.percent_edge_variance
+    """The function for generating the search space includes intervals
+    for each component of each point of each polygon in the provided structure.
+
+    Output format should be spicific dict configuration. For details see:
+        https://thegolem.readthedocs.io/en/latest/api/tuning.html
+    """
+
+    timeout_minutes: int = 60
+    """GOLEM argument."""
+
+    @field_validator('tuner_type')
+    @classmethod
+    def tuner_type_validate(cls, value):
+        """Checks if specified tuner exists."""
+        if isinstance(value, str):
+            opt_names = ['iopt', 'optuna', 'sequential', 'simulataneous']
+            if value in opt_names:
+                return value
+            else:
+                raise ValueError(f'Invalid distribution name: {value}. Allowed names: {opt_names}')
+        else:
+            raise ValueError(f'Invalid argument: {value} of type {type(value)}.')
+
+    @field_validator('hyperopt_dist')
+    @classmethod
+    def hyperopt_fun_validate(cls, value):
+        """Checks if hyperopt distribution function exists."""
+        if isinstance(value, str):
+            r_ = inspect.getmembers(hp, inspect.isfunction)
+            fun_names = [i[0] for i in r_]
+            if value in fun_names:
+                return getattr(hp, value)
+            else:
+                raise ValueError(f'Invalid distribution name: {value}. Allowed names: {fun_names}')
+        elif isinstance(value, Callable):
+            if value.__module__.split('.')[0] == hp.__name__.split('.')[0]:
+                return value
+        else:
+            raise ValueError(f'Invalid argument: {value} of type {type(value)}.')
+
+    @field_validator('variacne_generator')
+    @classmethod
+    def variacne_generator_fun_validate(cls, value):
+        """Checks if specified variance generation function exists."""
+        fun_names = ['percent_edge_variance']
+        if isinstance(value, str):
+            if value in fun_names:
+                return getattr(utils, value)
+        elif isinstance(value, Callable):
+            return value
+        else:
+            raise ValueError(f'Invalid argument: {value} of type {type(value)}.')
+
+    model_config = ConfigDict({'arbitrary_types_allowed': True})
diff --git a/gefest/core/configs/utils.py b/gefest/core/configs/utils.py
new file mode 100644
index 000000000..50f97e6bf
--- /dev/null
+++ b/gefest/core/configs/utils.py
@@ -0,0 +1,100 @@
+import inspect
+from pathlib import Path
+from typing import Optional
+
+import yaml
+from shapely.geometry.point import Point
+
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry import Point as G_Point
+from gefest.core.geometry import Polygon, PolyID, Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+
+
+def load_config(
+    cfg_py_path: str,
+    cfg_yaml_path: str = None,
+    *args,
+    **kwargs,
+) -> OptimizationParams:
+    """Generates configuretion files from yaml files.
+
+    Args:
+        cfg_py_path (str): Path to metrics.py.
+        cfg_yaml_path (str): Path to config.yaml.
+
+    Returns:
+        OptimizationParams: GEFEST unified configuretion file.
+    """
+    root_path = Path.cwd()
+    relative_path = Path(cfg_py_path).relative_to(root_path.parent.resolve())
+    import_string = '.'.join(relative_path.with_suffix('').parts[1:])
+    module_ = __import__(import_string, fromlist=[None])
+    if cfg_yaml_path:
+        user_metrics = []
+        for name, obj in inspect.getmembers(module_):
+            if inspect.isclass(obj):
+                if issubclass(obj, Objective) and obj is not Objective:
+                    user_metrics.append(name)
+
+        if not user_metrics:
+            raise ValueError(f'No Objective class has been found in {cfg_py_path}.')
+
+        config_dict = yaml.safe_load(Path(cfg_yaml_path).read_text())
+        domain_cfg = Domain.model_validate(config_dict['domain'])
+        tuner_cfg = TunerParams.model_validate(config_dict['tuner_params'])
+
+        config_dict['opt_params']['domain'] = domain_cfg
+        config_dict['opt_params']['tuner_cfg'] = tuner_cfg
+        config_dict['opt_params']['objectives'] = [
+            getattr(module_, metric)(domain_cfg) for metric in user_metrics
+        ]
+        opt_params = OptimizationParams.model_validate(config_dict['opt_params'])
+    else:
+        opt_params = module_.opt_params
+
+    return opt_params
+
+
+def create_prohibited(
+    points_radius,
+    targets: Optional[list[list]] = None,
+    fixed_points: Optional[list[list]] = None,
+    fixed_area: Optional[list[list]] = None,
+) -> Structure:
+    """Creates of fixed, prohibited structures. Polygons cannot cross them.
+
+    Args:
+        points_radius (_type_): _description_
+        targets (Optional[list[list]], optional): Fixed targets inside domain. Defaults to None.
+        fixed_points (Optional[list[list]], optional): Fixed lines inside domain. Defaults to None.
+        fixed_area (Optional[list[list]], optional): Fixed areas inside domain. Defaults to None.
+
+    Returns:
+        Structure: Compilation of inputs as GEFEST Structure.
+
+    """
+    prohibited_area = []
+    if targets is not None:
+        target_polygons = [
+            list(Point(target).buffer(points_radius).exterior.coords) for target in targets
+        ]
+        target_points = [[G_Point(p[0], p[1]) for p in target] for target in target_polygons]
+        poly_targets = [Polygon(id_=PolyID.PROH_TARG, points=points) for points in target_points]
+        prohibited_area += poly_targets
+
+    if fixed_points is not None:
+        fix_points = [[G_Point(p[0], p[1]) for p in fixed] for fixed in fixed_points]
+        poly_fixed = [Polygon(id_=PolyID.PROH_POLY, points=points) for points in fix_points]
+        prohibited_area += poly_fixed
+
+    if fixed_area is not None:
+        fix_area = [[G_Point(p[0], p[1]) for p in fixed] for fixed in fixed_area]
+        poly_area = [Polygon(id_=PolyID.PROH_AREA, points=points) for points in fix_area]
+        prohibited_area += poly_area
+
+    struct = Structure(polygons=prohibited_area)
+
+    return struct
diff --git a/gefest/core/geometry/__init__.py b/gefest/core/geometry/__init__.py
index e69de29bb..9f68a3346 100755
--- a/gefest/core/geometry/__init__.py
+++ b/gefest/core/geometry/__init__.py
@@ -0,0 +1,4 @@
+from .datastructs.point import Point
+from .datastructs.polygon import Polygon, PolyID
+from .datastructs.structure import Structure
+from .utils import get_random_poly, get_random_structure
diff --git a/cases/synthetic/intersect_figs/__init__.py b/gefest/core/geometry/datastructs/__init__.py
similarity index 100%
rename from cases/synthetic/intersect_figs/__init__.py
rename to gefest/core/geometry/datastructs/__init__.py
diff --git a/gefest/core/geometry/datastructs/point.py b/gefest/core/geometry/datastructs/point.py
new file mode 100644
index 000000000..813727b05
--- /dev/null
+++ b/gefest/core/geometry/datastructs/point.py
@@ -0,0 +1,15 @@
+from pydantic import computed_field
+from pydantic.dataclasses import dataclass
+
+
+@dataclass
+class Point:
+    """2D point dataclass."""
+
+    x: float
+    y: float
+
+    @computed_field(repr=False)
+    def coords(self) -> list[float]:
+        """List coordinates representation."""
+        return [self.x, self.y]
diff --git a/gefest/core/geometry/datastructs/polygon.py b/gefest/core/geometry/datastructs/polygon.py
new file mode 100644
index 000000000..60052addd
--- /dev/null
+++ b/gefest/core/geometry/datastructs/polygon.py
@@ -0,0 +1,44 @@
+from enum import Enum
+from typing import Optional, Union
+from uuid import UUID, uuid4
+
+from pydantic import Field
+from pydantic.dataclasses import dataclass
+
+from .point import Point
+
+
+class PolyID(Enum):
+    """Enumeration of special polygons ids."""
+
+    TEMP = 'tmp'
+    CONSTR = 'constraint'
+    FIXED_AREA = 'fixed_area'
+    FIXED_POLY = 'fixed_poly'
+    PROH_AREA = 'prohibited_area'
+    PROH_TARG = 'prohibited_target'
+    PROH_POLY = 'prohibited_poly'
+
+
+@dataclass
+class Polygon:
+    """Polygon dataclass."""
+
+    points: list[Point] = Field(default_factory=list)
+    id_: Optional[Union[UUID, PolyID]] = Field(default_factory=uuid4)
+
+    def __len__(self) -> int:
+        return len(self.points)
+
+    def __getitem__(self, key) -> Point:
+        if isinstance(key, slice):
+            indices = range(*key.indices(len(self.points)))
+            return Polygon([self.points[i] for i in indices])
+
+        return self.points[key]
+
+    def __setitem__(self, key: int, value: Point):
+        self.points[key] = value
+
+    def __contains__(self, item):
+        return item in self.points
diff --git a/gefest/core/geometry/datastructs/structure.py b/gefest/core/geometry/datastructs/structure.py
new file mode 100644
index 000000000..b34882d4d
--- /dev/null
+++ b/gefest/core/geometry/datastructs/structure.py
@@ -0,0 +1,59 @@
+from typing import Union
+from uuid import UUID, uuid4
+
+from pydantic import Field
+from pydantic.dataclasses import dataclass
+
+from .point import Point
+from .polygon import Polygon
+
+
+@dataclass
+class Structure:
+    """Structure dataclass."""
+
+    polygons: tuple[Polygon, ...] = Field(default_factory=tuple)
+    fitness: list[float] = Field(default_factory=list)
+    extra_characteristics: dict = Field(default_factory=dict)
+    id_: UUID = Field(default_factory=uuid4)
+
+    def __len__(self):
+        return len(self.polygons)
+
+    def __setattr__(self, name, value):
+        if name in ['polygons']:
+            if self.polygons != tuple(value):
+                self.fitness = []
+
+        super().__setattr__(name, value)
+
+    def __setitem__(self, key, value):
+        if not isinstance(value, Polygon):
+            raise ValueError()
+
+        polygons = list(self.polygons)
+        if polygons[key] != value:
+            polygons[key] = value
+            self.polygons = tuple(polygons)
+
+    def __getitem__(self, key):
+        return self.polygons[key]
+
+    def __contains__(self, item: Union[Point, Polygon]):
+        if isinstance(item, Polygon):
+            return item in self.polygons
+
+        if isinstance(item, Point):
+            return any(item in poly for poly in self.polygons)
+
+    def append(self, value):
+        """Adds polygon to structure."""
+        polygons = list(self.polygons)
+        polygons.append(value)
+        self.polygons = tuple(polygons)
+
+    def remove(self, value):
+        """Removes polygon from structure."""
+        polygons = list(self.polygons)
+        polygons.remove(value)
+        self.polygons = tuple(polygons)
diff --git a/gefest/core/geometry/domain.py b/gefest/core/geometry/domain.py
new file mode 100644
index 000000000..63928cb34
--- /dev/null
+++ b/gefest/core/geometry/domain.py
@@ -0,0 +1,167 @@
+from typing import Optional, Union
+
+from pydantic import BaseModel, Field, computed_field, field_validator, model_validator
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.geometry_2d import Geometry, Geometry2D
+from gefest.core.utils.functions import parse_structs
+
+
+class Domain(BaseModel):
+    """Domain configuration dataclass."""
+
+    allowed_area: Union[Polygon, list[list[float]]]
+    name: str = 'main'
+    min_poly_num: int = 2
+    max_poly_num: int = 4
+    min_points_num: int = 20
+    max_points_num: int = 50
+    polygon_side: float = 0.0001
+    min_dist_from_boundary: float = 0.0001
+    prohibited_area: Optional[Union[Structure, str]] = Field(default=Structure())
+    fixed_points: Optional[Union[Polygon, list[list[float]]]] = Field(default_factory=list)
+    geometry_is_convex: bool = True
+    geometry_is_closed: bool = True
+    geometry: Optional[Union[Geometry, str]] = '2D'
+
+    def __contains__(self, point: Point):
+        """Checking :obj:`Domain` contains :obj:`point`.
+
+        Args:
+            point: checked point
+
+        Returns:
+            ``True`` if given :obj:`Point` locates in the allowed area borders,
+           otherwise returns ``False``
+        """
+        return self.geometry.is_contain_point(self.allowed_area, point)
+
+    @model_validator(mode='after')
+    def _post_init_validation(self):
+        if self.min_poly_num > self.max_poly_num:
+            raise ValueError('Invalid polygons number interval.')
+
+        if self.min_points_num > self.max_points_num:
+            raise ValueError('Invalid points number interval.')
+
+        if self.min_poly_num < 1 or self.max_poly_num < 1:
+            raise ValueError('Number of polygons must be positive value.')
+
+        min_points_in_poly = 1 + int(self.geometry_is_closed)
+        if self.min_points_num <= min_points_in_poly or self.max_points_num <= min_points_in_poly:
+            raise ValueError('Number of points must be >2/>1 for closed/non closed geometies.')
+
+        if self.geometry == '2D':
+            self.geometry = Geometry2D(
+                is_closed=self.geometry_is_closed,
+                is_convex=self.geometry_is_convex,
+            )
+
+        return self
+
+    @field_validator('min_poly_num')
+    @classmethod
+    def validate_min_poly_num(cls, data: int):
+        """Validates min number of polygons."""
+        if data < 1:
+            raise ValueError('Min number of polygons must be positive value.')
+
+        return data
+
+    @field_validator('max_poly_num')
+    @classmethod
+    def validate_max_poly_num(cls, data: int):
+        """Validates max number of polygons."""
+        if data < 1:
+            raise ValueError('Max number of polygons must be positive value.')
+
+        return data
+
+    @field_validator('min_points_num')
+    @classmethod
+    def validate_min_points_num(cls, data: int):
+        """Validates min number of points."""
+        if data < 1:
+            raise ValueError('Max number of polygons must be positive value.')
+
+        return data
+
+    @field_validator('fixed_points')
+    @classmethod
+    def validate_fixed_points(cls, data: Union[Polygon, list[tuple[float, float]]]):
+        """Validates max number of points."""
+        if isinstance(data, Polygon):
+            return data
+
+        return Polygon([Point(*coords) for coords in data])
+
+    @field_validator('prohibited_area')
+    @classmethod
+    def validate_prohibited_area(cls, data: Optional[Union[Structure, str]]):
+        """Validates prohibit area format."""
+        if isinstance(data, Structure):
+            return data
+
+        if isinstance(data, str):
+            structs_from_file = parse_structs(data)
+            num_records = len(structs_from_file)
+            if num_records != 1:
+                raise ValueError(f'{num_records} structures found in {data} file, expected 1.')
+            else:
+                return structs_from_file[0]
+
+        raise TypeError(f'Invalid argument {data}.')
+
+    @field_validator('allowed_area')
+    @classmethod
+    def validate_allowed_area(cls, data: Union[Polygon, list[list[float]]]):
+        """Validates allowed area area format."""
+        if data is None or len(data) <= 2:
+            raise ValueError('Not enough points for allowed_area.')
+
+        return Polygon([Point(*coords) for coords in data])
+
+    @computed_field
+    def dist_between_polygons(self) -> float:
+        """Min distance between polygons instructure."""
+        return max(self.max_x - self.min_x, self.max_y - self.min_y) / 35
+
+    @computed_field
+    def dist_between_points(self) -> float:
+        """Min dstance between neighbours points in polygon."""
+        return self.dist_between_polygons * 15 * self.polygon_side
+
+    @computed_field
+    def min_x(self) -> int:
+        """Min x domain coord."""
+        return min(p.x for p in self.allowed_area)
+
+    @computed_field
+    def max_x(self) -> int:
+        """Max x domain coord."""
+        return max(p.x for p in self.allowed_area)
+
+    @computed_field
+    def min_y(self) -> int:
+        """Min y domain coord."""
+        return min(p.y for p in self.allowed_area)
+
+    @computed_field
+    def max_y(self) -> int:
+        """Max y domain coord."""
+        return max(p.y for p in self.allowed_area)
+
+    @computed_field
+    def len_x(self) -> int:
+        """Len of x domain side."""
+        return abs(self.max_x - self.min_x)
+
+    @computed_field
+    def len_y(self) -> int:
+        """Len of y domain side."""
+        return abs(self.max_y - self.min_y)
+
+    @computed_field
+    def bound_poly(self) -> Polygon:
+        """Allowed area bound. Deprecated."""
+        return self.allowed_area
diff --git a/gefest/core/geometry/geometry.py b/gefest/core/geometry/geometry.py
index 37e8300d1..a8fd36aef 100644
--- a/gefest/core/geometry/geometry.py
+++ b/gefest/core/geometry/geometry.py
@@ -1,63 +1,64 @@
-from abc import abstractmethod
-from shapely.geometry import Point as GeomPoint, LineString
-
+from abc import ABC, abstractmethod
 from typing import List
 
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
+from pydantic import BaseModel
 
+from gefest.core.geometry import Point, Polygon
+
+
+class Geometry(BaseModel, ABC):
+    """Abstract geometry class.
 
-class Geometry:
-    """
-    Abstract geometry class.
     Сlass contains basic transformations of geometries, geometry properties.
     Each of the methods is overridden for a particular dimension of the geometry.
     """
 
-    @abstractmethod
-    def __init__(self):
-        pass
-
     @abstractmethod
     def resize_poly(self, poly: Polygon, x_scale: float, y_scale: float):
-        pass
+        """Resize polygon operation."""
+        ...
 
     @abstractmethod
     def rotate_poly(self, poly: Polygon, angle: float):
-        pass
+        """Rotate polygon operation."""
+        ...
 
+    @abstractmethod
     def get_length(self, polygon: Polygon):
-        if len(polygon.points) < 1:
-            return 0
-
-        geom_polygon = LineString([GeomPoint(pt.x, pt.y) for pt in polygon.points])
-
-        return geom_polygon.length
+        """Perimeter calculation operation."""
+        ...
 
     @abstractmethod
     def get_square(self, polygon: Polygon):
-        pass
+        """Square calculation operation."""
+        ...
 
     @abstractmethod
-    def is_contain_point(self, poly: Polygon, point: 'Point'):
-        pass
+    def is_contain_point(self, poly: Polygon, point: Point):
+        """Checks if point in polygon."""
+        ...
 
     @abstractmethod
     def get_convex(self, poly: Polygon):
-        pass
+        """Returns convex hull."""
+        ...
 
     @abstractmethod
     def intersects(self, poly_1: Polygon, poly_2: Polygon) -> bool:
-        pass
+        """Checks if two polygons intersects."""
+        ...
 
     @abstractmethod
-    def min_distance(self, pt_1: 'Point', pt_2: 'Point') -> float:
-        pass
+    def min_distance(self, pt_1: Point, pt_2: Point) -> float:
+        """Returns min distance between two polygons."""
+        ...
 
     @abstractmethod
     def nearest_point(self, point: Point, poly: Polygon) -> Point:
-        pass
+        """Finds closest point between input point and polygon."""
+        ...
 
     @abstractmethod
     def nearest_points(self, poly_1: Polygon, poly_2: Polygon) -> List[Point]:
-        pass
+        """Returns nearest points in the input geometries."""
+        ...
diff --git a/gefest/core/geometry/geometry_2d.py b/gefest/core/geometry/geometry_2d.py
index af8139dc8..f0f5c0252 100755
--- a/gefest/core/geometry/geometry_2d.py
+++ b/gefest/core/geometry/geometry_2d.py
@@ -1,251 +1,589 @@
-from typing import List
+from typing import Union
 from uuid import uuid4
 
 import numpy as np
-from shapely import affinity
-from shapely.geometry import Point as GeomPoint, Polygon as GeomPolygon, LineString, MultiLineString
-from shapely.ops import nearest_points
-
-from gefest.core.geometry.geometry import Geometry
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
+from golem.utilities.data_structures import ensure_wrapped_in_sequence
+from loguru import logger
+from shapely import affinity, get_parts
+from shapely.affinity import scale
+from shapely.geometry import (
+    GeometryCollection,
+    LineString,
+    MultiLineString,
+    MultiPoint,
+    MultiPolygon,
+)
+from shapely.geometry import Point as ShapelyPoint
+from shapely.geometry import Polygon as ShapelyPolygon
+from shapely.geometry import box, mapping
+from shapely.ops import nearest_points, split
+
+from gefest.core.geometry import Point, Polygon, Structure
+
+from .geometry import Geometry
 
 
 class Geometry2D(Geometry):
     """Overriding the geometry base class for 2D structures.
-    The input receives information about the closeness of the polygon
+
+    The input receives information about the closeness of the polygon.
+
     Args:
         is_closed: ``True`` if the :obj:`Polygon` must have close borders
-            (first Point is equal to the last one), otherwise ``False``. Default value is ``True``
+            (first Point is equal to the last one), otherwise ``False``.
+            Default value is ``True``
     """
 
-    def __init__(self,
-                 is_closed=True):
-        self.is_closed = is_closed
+    is_closed: bool = True
+    is_convex: bool = True
+
+    def get_length(self, polygon: Polygon):
+        """Returns polygon perimeter."""
+        if len(polygon.points) <= 2:
+            return 0
+
+        geom_polygon = LineString([ShapelyPoint(pt.x, pt.y) for pt in polygon])
+
+        return geom_polygon.length
+
+    def shapely_to_gefest(self, geom_in):
+        """Converts any shapely object to GEFEST polygon."""
+        if isinstance(geom_in, ShapelyPolygon):
+            return Polygon(self.get_coords(geom_in))
+        # add other shapely objects
+
+    def get_coords(self, poly: Union[ShapelyPolygon, LineString]) -> list[Point]:
+        """The function for getting points.
 
-    def get_coords(self, poly) -> List[Point]:
-        """The function for getting points
         Args:
             poly: :obj:`Polygon` for processing
+
         Returns:
             all :obj:`Point` that :obj:`poly`contains
         """
+        if isinstance(poly, ShapelyPolygon):
+            poly = poly.exterior
 
-        # Transformation from shapely coords to GEFEST points for further analysis
-        if isinstance(poly, GeomPolygon):
-            # Converting  shapely.Polygon to shapely.LineString translation for correct conversion
-            poly = LineString(poly.exterior.coords)
-        if self.is_closed or len(poly.coords.xy[0]) < 3:
-            points = [Point(x, y) for x, y in
-                      zip(list(poly.coords.xy[0]),
-                          list(poly.coords.xy[1]))]
-        else:
-            # For open polygons, the last point is ignored
-            points = [Point(x, y) for x, y in
-                      zip(list(poly.coords.xy[0][:-1]),
-                          list(poly.coords.xy[1][:-1]))]
+        points = [
+            Point(x, y)
+            for x, y in zip(
+                list(poly.coords.xy[0]),
+                list(poly.coords.xy[1]),
+            )
+        ]
 
         return points
 
-    def resize_poly(self, poly: Polygon, x_scale: float, y_scale: float) -> Polygon:
+    def get_prohibited_geom(
+        self,
+        prohibited_area: Structure,
+        buffer_size: float = 0.001,
+    ) -> GeometryCollection:
+        """Generates Shapely GeometryCollection from pohibited structure."""
+        geom_collection = []
+        for poly in prohibited_area.polygons:
+            if poly[0] == poly[-1]:
+                geom_collection.append(self._poly_to_shapely_poly(poly).buffer(buffer_size))
+            else:
+                geom_collection.append(self._poly_to_shapely_line(poly).buffer(buffer_size))
+
+        return GeometryCollection(geom_collection)
+
+    def resize_poly(
+        self,
+        poly: Polygon,
+        x_scale: float,
+        y_scale: float,
+    ) -> Polygon:
         """The function for rescaling polygons along each axis.
-        Scaling occurs relative to the center of mass of the polygon
+
+        Scaling occurs relative to the center of mass of the polygon.
+
         Args:
             poly: :obj:`Polygon` for processing
             x_scale: scale value for **x** axis
             y_scale: scale value for **y** axis
+
         Returns:
             scaled :obj:`poly` by ``(x,y)`` axes
         """
-        geom_polygon = self._poly_to_geom(poly)  # Transformation to shapely structure
+        geom_polygon = self._poly_to_shapely_line(poly)
 
-        rescaled_geom_polygon = affinity.scale(geom_polygon,
-                                               x_scale, y_scale)  # Scaling along each axis
+        rescaled_geom_polygon = affinity.scale(
+            geom_polygon,
+            x_scale,
+            y_scale,
+        )
 
         rescaled_points = self.get_coords(rescaled_geom_polygon)
 
-        rescaled_poly = Polygon(polygon_id=poly.id,
-                                points=rescaled_points)  # Back transformation to GEFEST polygon
+        rescaled_poly = Polygon(
+            polygon_id=poly.id_,
+            points=rescaled_points,
+        )
 
         return rescaled_poly
 
-    def rotate_poly(self, poly: Polygon, angle: float) -> Polygon:
-        """Rotating polygon relative to the center of mass by a given angle
+    @logger.catch
+    def get_angle(
+        self,
+        vector1: tuple[Point, Point],
+        vector2: tuple[Point, Point],
+    ) -> float:
+        """Finds angle betwen two bectors."""
+        v1 = np.array([vector1[1].x - vector1[0].x, vector1[1].y - vector1[0].y])
+        v2 = np.array([vector2[1].x - vector2[0].x, vector2[1].y - vector2[0].y])
+        v1_u = v1 / np.linalg.norm(v1)
+        v2_u = v2 / np.linalg.norm(v2)
+        return np.rad2deg(np.arccos(np.clip(np.dot(v1_u, v2_u), -1.0, 1.0)))
+
+    def rotate_point(
+        self,
+        point: Point,
+        origin: Point,
+        angle: float,
+    ) -> Polygon:
+        """Rotates polygon by given angle."""
+        rotated = affinity.rotate(
+            ShapelyPoint(point.x, point.y),
+            angle,
+            ShapelyPoint(origin.x, origin.y),
+        )
+        return Point(rotated.x, rotated.y)
+
+    def rotate_poly(
+        self,
+        poly: Polygon,
+        angle: float,
+    ) -> Polygon:
+        """Rotating polygon relative to the center of mass by a given angle.
+
         Args:
-            poly: :obj:`Polygon` for processing
-            angle: value of degree rotation
+            poly: :obj:`Polygon` for processing.
+            angle: value of degree rotation.
+
         Returns:
-            rotated :obj:`poly`
+            rotated :obj:`poly`.
         """
+        geom_polygon = self._poly_to_shapely_line(poly)
 
-        geom_polygon = self._poly_to_geom(poly)  # Transformation to shapely structure
-
-        rotated_geom_polygon = affinity.rotate(geom_polygon, angle, 'center')  # Rotating the entire polygon
+        rotated_geom_polygon = affinity.rotate(
+            geom_polygon,
+            angle,
+            'center',
+        )
 
         rotated_points = self.get_coords(rotated_geom_polygon)
-        rotated_poly = Polygon(polygon_id=poly.id,
-                               points=rotated_points)  # Back transformation to GEFEST polygon
+        rotated_poly = Polygon(
+            polygon_i=poly.id_,
+            points=rotated_points,
+        )
 
         return rotated_poly
 
-    def get_square(self, polygon: 'Polygon') -> float:
-        """Recieving value of the area
+    def get_square(self, polygon: Polygon) -> float:
+        """Recieving value of the area.
+
         Args:
-            polygon: :obj:`Polygon` for processing
+            polygon: :obj:`Polygon` for processing.
+
         Returns:
-            value of the :obj:`polygon` area
+            value of the :obj:`polygon` area.
         """
-
-        if len(polygon.points) <= 1:
+        if len(polygon.points) <= 2:
             return 0
 
-        # Transformation to shapely.polygon, cause LineString does not have an area method
-        geom_polygon = GeomPolygon([self._pt_to_geom(pt) for pt in polygon.points])
+        geom_polygon = ShapelyPolygon([self._pt_to_shapely_pt(pt) for pt in polygon])
 
         return geom_polygon.area
 
-    def is_contain_point(self, poly: 'Polygon', point: Point) -> bool:
-        """Checking if a point is inside a polygon
+    def is_contain_point(self, poly: Polygon, point: Point) -> bool:
+        """Checking if a point is inside a polygon.
+
         Args:
             poly: :obj:`Polygon` that explore
-            point: :obj:`Point` for checking presence inside the :obj:`Polygon`
+            point: :obj:`Point` for checking presence inside the :obj:`Polygon`.
+
         Returns:
-            ``True`` if :obj:`point` is into :obj:`poly`, otherwise ``False``
+            ``True`` if :obj:`point` is into :obj:`poly`, otherwise ``False``.
         """
-        geom_poly_allowed = GeomPolygon([self._pt_to_geom(pt) for pt in poly.points])
-        geom_pt = GeomPoint(point.x, point.y)
+        geom_poly_allowed = ShapelyPolygon([self._pt_to_shapely_pt(pt) for pt in poly])
+        geom_pt = ShapelyPoint(point.x, point.y)
 
         return geom_poly_allowed.contains(geom_pt)
 
     def nearest_point(self, point: Point, poly: Polygon) -> Point:
         """Calculating closest point between input point and polygon.
+
         Args:
             point: the :obj:`Point` that explore
             poly: the :obj:`Polygon` that explore
+
         Returns:
-            returns the nearest :obj:`Point` from ``point`` among all points in the ``poly``
+            nearest_correct_position :obj:`Point` from ``point`` among all points in the ``poly``
         """
-        geom_poly = self._poly_to_geom(poly)
-        geom_point = GeomPoint(point.x, point.y)
-        _, nearest_correct_position = nearest_points(geom_point, geom_poly)  # One point as output
+        geom_poly = self._poly_to_shapely_line(poly)
+        geom_point = ShapelyPoint(point.x, point.y)
+        _, nearest_correct_position = nearest_points(geom_point, geom_poly)
         return Point(nearest_correct_position.x, nearest_correct_position.y)
 
-    def nearest_points(self, poly_1: Polygon, poly_2: Polygon) -> List[Point]:
-        """Calculating closest point between two polygons
+    def nearest_points(self, poly_1: Polygon, poly_2: Polygon) -> list[Point]:
+        """Calculating closest point between two polygons.
+
         Args:
             poly_1: the first :obj:`Polygon` that explore
             poly_2: the second :obj:`Polygon` that explore
+
         Returns:
-            the couple of :obj:`Point` where the first one from :obj:`poly_1` and the second one from :obj:`poly_2`
+            the couple of :obj:`Point` where the first one from :obj:`poly_1`
+            and the second one from :obj:`poly_2`
         """
-        geom_poly_1 = self._poly_to_geom(poly_1)
-        geom_poly_2 = self._poly_to_geom(poly_2)
+        geom_poly_1 = self._poly_to_shapely_line(poly_1)
+        geom_poly_2 = self._poly_to_shapely_line(poly_2)
 
-        _, nearest_correct_position = nearest_points(geom_poly_1, geom_poly_2)  # Set of points as output
+        _, nearest_correct_position = nearest_points(
+            geom_poly_1,
+            geom_poly_2,
+        )
         return nearest_correct_position
 
-    def get_convex(self, poly: 'Polygon') -> Polygon:
-        """Obtaining a convex polygon to avoid intersections
+    def get_convex(self, poly: Polygon) -> Polygon:
+        """Obtaining a convex polygon to avoid intersections.
+
         Args:
             poly: :obj:`Polygon` for processing
+
         Returns:
             convex :obj:`Polygon`
         """
         if len(poly.points) < 3:
             return poly
-        geom_poly = self._poly_to_geom(poly).convex_hull
+
+        geom_poly = self._poly_to_shapely_line(poly).convex_hull
         points = self.get_coords(geom_poly)
-        polygon = Polygon(polygon_id=poly.id, points=points)
+        polygon = Polygon(polygon_id='tmp', points=points)
 
         return polygon
 
-    def get_centroid(self, poly: 'Polygon') -> Point:
-        """Getting a point that is the center of mass of the polygon
+    def intersection_line_line(self, points1, points2, scale1, scale2):
+        """Returns point of two lines intersection."""
+        a = scale(LineString([(p.x, p.y) for p in points1]), scale1, scale1)
+        b = scale(LineString([(p.x, p.y) for p in points2]), scale2, scale2)
+        intersection_point = a.intersection(b)
+        if not intersection_point.is_empty:
+            if isinstance(intersection_point, LineString):
+                intersection_point = intersection_point.coords[0]
+                intersection_point = Point(intersection_point[0], intersection_point[1])
+            else:
+                intersection_point = Point(intersection_point.x, intersection_point.y)
+        else:
+            intersection_point = None
+
+        return intersection_point
+
+    def intersection_poly_line(self, figure: Polygon, points: list[Point], scale_factor):
+        """Returns points where line intersects polygon."""
+        if self.is_closed:
+            figure = self._poly_to_shapely_poly(figure)
+        else:
+            figure = self._poly_to_shapely_line(figure)
+
+        minx, miny, maxx, maxy = figure.bounds
+        line = LineString([(p.x, p.y) for p in points])
+        line = scale(line, scale_factor)
+        bounding_box = box(minx * 2, miny * 2, maxx * 2, maxy * 2)
+        a = ShapelyPoint(line.boundary.bounds[:2])
+        b = ShapelyPoint(line.boundary.bounds[2:])
+        if a.x == b.x:  # vertical line
+            extended_line = LineString([(a.x, miny), (a.x, maxy)])
+        elif a.y == b.y:  # horizonthal line
+            extended_line = LineString([(minx, a.y), (maxx, a.y)])
+        else:
+            # linear equation: y = k*x + m
+            k = (b.y - a.y) / (b.x - a.x)
+            m = a.y - k * a.x
+            y0 = k * minx + m
+            y1 = k * maxx + m
+            x0 = (miny - m) / k
+            x1 = (maxy - m) / k
+            points_on_boundary_lines = [
+                ShapelyPoint(minx, y0),
+                ShapelyPoint(maxx, y1),
+                ShapelyPoint(x0, miny),
+                ShapelyPoint(x1, maxy),
+            ]
+            points_sorted_by_distance = sorted(points_on_boundary_lines, key=bounding_box.distance)
+            extended_line = LineString(points_sorted_by_distance[:2])
+
+        if extended_line.intersects(figure):
+            interaction = extended_line.intersection(figure)
+            if isinstance(interaction, ShapelyPoint):
+                interaction = [Point(interaction.x, interaction.y)]
+            elif isinstance(interaction, MultiPoint):
+                interaction = [Point(p[0], p[1]) for p in interaction.geoms]
+            else:
+                interaction = [Point(p[0], p[1]) for p in interaction.coords]
+        else:
+            return None
+
+    def simplify(self, poly: Polygon, tolerance: float) -> Polygon:
+        """Simplifies polyon."""
+        inp = poly
+        if len(poly) < 3:
+            return poly
+
+        if self._poly_to_shapely_poly(poly).is_simple:
+
+            poly = self._poly_to_shapely_poly(inp)
+            compressed = poly.buffer(-tolerance, join_style='mitre')
+            if not compressed.is_empty:
+                poly = compressed.buffer(tolerance * 1.05, join_style='mitre')
+
+            simplified = poly.simplify(tolerance)
+
+            if isinstance(simplified, MultiPolygon):
+                simplified = max(simplified.geoms, key=lambda p: p.area)
+
+            if simplified.is_empty:
+                poly = self._poly_to_shapely_poly(inp)
+                compressed = poly.buffer(-tolerance, join_style='mitre')
+                decompressed = compressed.buffer(tolerance * 1.1, join_style='mitre')
+                intersected = decompressed.intersection(poly)
+                simplified = intersected.simplify(tolerance)
+                if isinstance(simplified, MultiPolygon):
+                    simplified = max(simplified.geoms, lambda p: p.area)
+
+            out = Polygon([Point(p[0], p[1]) for p in simplified.exterior.coords])
+        else:
+            simplified = self._poly_to_shapely_line(poly).convex_hull.simplify(tolerance)
+            if simplified.is_empty:
+                raise ValueError('Empty polygon produced')
+
+            out = Polygon([Point(p[0], p[1]) for p in simplified.exterior.coords])
+
+        return out
+
+    def is_simple(self, poly: Polygon) -> bool:
+        """Checks if poly is simple."""
+        return self._poly_to_shapely_poly(poly).is_simple
+
+    def get_random_point_in_shapey_geom(self, fig):
+        """Returns random point from polygon of arbitrary shape shapely geometry."""
+        if fig.is_empty:
+            raise ValueError('Unable to pick a point from an empty polygon.')
+
+        if isinstance(fig, MultiPolygon):
+            bds = []
+            for bound in list(fig.geoms):
+                bds.extend(list(bound.exterior.coords))
+
+            minx, miny, maxx, maxy = LineString(bds).bounds
+
+        else:
+            minx, miny, maxx, maxy = fig.bounds
+
+        x = np.random.uniform(minx, maxx, 1)
+        y = np.random.uniform(miny, maxy, 1)
+        while not fig.contains(ShapelyPoint(x, y)):
+            x = np.random.uniform(minx, maxx, 1)
+            y = np.random.uniform(miny, maxy, 1)
+
+        return Point(x, y)
+
+    def get_random_point_in_poly(self, poly) -> Union[Point, None]:
+        """Returns random point from polygon of arbitrary shape."""
+        minx, miny, maxx, maxy = poly.bounds
+        if any(b != b for b in poly.bounds):
+            raise ValueError('Unable to pick a point from empty an polygon.')
+
+        #  also can be used polar cords generator within circumscribed circle
+        x = np.random.uniform(minx, maxx, 1)
+        y = np.random.uniform(miny, maxy, 1)
+        point = None
+        for _ in range(100):
+            x = np.random.uniform(minx, maxx, 1)
+            y = np.random.uniform(miny, maxy, 1)
+            if poly.contains(ShapelyPoint(x, y)):
+                point = Point(x, y)
+                break
+
+        return point
+
+    def get_centroid(self, poly: Polygon) -> Point:
+        """Getting a point that is the center of mass of the polygon.
+
         Args:
             poly: the :obj:`Polygon` that explore
+
         Returns:
             central :obj:`Point` of :obj:`poly`
         """
-        points = [pt for pt in poly.points]
+        points = poly.points
         if len(points) < 3:
             points.append(points[0])
-        geom_poly = GeomPolygon([self._pt_to_geom(pt) for pt in points])
+
+        geom_poly = ShapelyPolygon([self._pt_to_shapely_pt(pt) for pt in points])
         geom_point = geom_poly.centroid
         point = Point(geom_point.x, geom_point.y)
         return point
 
-    def intersects(self, structure: 'Structure') -> bool:
-        """Function to check for any intersection in structure of polygons
-        Whole structure appears like shapely MultiLineString for which uses method is simple
+    def intersects(self, structure: Structure) -> bool:
+        """Function to check for any intersection in structure of polygons.
+
+        Whole structure appears like shapely MultiLineString for which uses method is simple.
+
         Args:
             structure: the :obj:`Structure` that explore
+
         Returns:
             ``True`` if any :obj:`Polygon` in :obj:`structure` intersects with another one,
                otherwise - ``False``
         """
-        polygons = structure.polygons
-        multi_geom = MultiLineString([self._poly_to_geom(poly) for poly in polygons])
+        multi_geom = MultiLineString(
+            [self._poly_to_shapely_line(poly) for poly in structure.polygons],
+        )
         return multi_geom.is_simple
 
-    def contains(self, poly1: 'Polygon', poly2: 'Polygon') -> bool:
-        geom_polygon1 = self._poly_to_geom(poly1)
-        geom_polygon2 = GeomPolygon([self._pt_to_geom(pt) for pt in poly2.points])
+    def contains(self, poly1: Polygon, poly2: Polygon) -> bool:
+        """Checks if poly2 contains poly1."""
+        geom_polygon1 = self._poly_to_shapely_line(poly1)
+        geom_polygon2 = ShapelyPolygon([self._pt_to_shapely_pt(pt) for pt in poly2])
 
         is_contain = geom_polygon2.contains(geom_polygon1)
         return is_contain
 
-    def intersects_poly(self, poly_1: 'Polygon', poly_2: 'Polygon') -> bool:
-        """Intersection between two polygons
+    def difference_polys(self, base_poly: Polygon, diff_polys: list[Polygon]):
+        """Returns area of base_poly difference with diff_polys polygons."""
+        base_poly = self._poly_to_shapely_poly(base_poly)
+        diff_polys = ensure_wrapped_in_sequence(diff_polys)
+        diff_polys = [self._poly_to_shapely_poly for poly in diff_polys]
+
+        for poly in diff_polys:
+            base_poly = base_poly.difference(poly)
+
+        if base_poly.is_empty:
+            assert 'Empty difference'
+
+        return Polygon([Point(p[0], p[1]) for p in base_poly.exterior.coords])
+
+    def intersection_polys(self, base_poly: Polygon, diff_polys: list[Polygon]):
+        """Returns area of base_poly intersection with diff_polys polygons."""
+        base_poly = self._poly_to_shapely_poly(base_poly).convex_hull
+        if isinstance(diff_polys, Polygon):
+            diff_polys = [diff_polys]
+
+        diff_polys = [self._poly_to_shapely_poly(poly).convex_hull for poly in diff_polys]
+
+        for poly in diff_polys:
+            base_poly = base_poly.intersection(poly)
+
+        if base_poly.is_empty:
+            assert 'Empty intersection'
+
+        return Polygon([Point(p[0], p[1]) for p in base_poly.exterior.coords])
+
+    def intersects_poly(self, poly_1: Polygon, poly_2: Polygon) -> bool:
+        """Intersection between two polygons.
+
         Args:
             poly_1: the first :obj:`Polygon` that explore
             poly_2: the second :obj:`Polygon` that explore
         Returns:
-            ``True`` if the :obj:`poly_1` intersects with :obj:`poly_2`, otherwise - ``False``
+            ``True`` if the :obj:`poly_1` intersects with :obj:`poly_2`,
+            otherwise - ``False``
         """
-        geom_poly_1 = self._poly_to_geom(poly_1)
-        geom_poly_2 = self._poly_to_geom(poly_2)
+        geom_poly_1 = self._poly_to_shapely_line(poly_1)
+        geom_poly_2 = self._poly_to_shapely_line(poly_2)
         return geom_poly_1.intersects(geom_poly_2)
 
-    def _poly_to_geom(self, poly: Polygon) -> LineString:
-        # Transformation GEFEST polygon to shapely LineString
-        return LineString([self._pt_to_geom(pt) for pt in poly.points])
+    def _poly_to_shapely_line(self, poly: Polygon) -> LineString:
+        """Transform GEFEST Polygon to shapely non cycled  LineString.
 
-    def _pt_to_geom(self, pt: Point) -> GeomPoint:
-        # Transformation GEFEST point to shapely Point
-        return GeomPoint(pt.x, pt.y)
+        Args:
+            poly: Polygon
+        Returns:
+            LineString
+        """
+        return LineString([self._pt_to_shapely_pt(pt) for pt in poly.points])
+
+    def _poly_to_shapely_poly(self, poly: Polygon) -> ShapelyPolygon:
+        """Transform GEFEST Polygon to shapely Polygon.
+
+        Args:
+            poly: Polygon
+        Returns:
+            ShapelyPolygon
+        """
+        return ShapelyPolygon([(pt.x, pt.y) for pt in poly.points])
+
+    def _pt_to_shapely_pt(self, pt: Point) -> ShapelyPoint:
+        """Transform GEFEST Polygon to shapely Polygon.
+
+        Args:
+            poly: Point
+
+        Returns:
+            ShapelyPoint
+        """
+        return ShapelyPoint(pt.x, pt.y)
+
+    def split_polygon(self, poly, line: tuple[Point, Point], scale_factor=1000) -> list:
+        """Splits polygon by line.
+
+        Returns:
+            list: Produced parts.
+        """
+        poly = ShapelyPolygon([(p.x, p.y) for p in poly])
+        line = LineString(
+            [
+                (line[0].x, line[0].y),
+                (line[1].x, line[1].y),
+            ],
+        )
+        line = scale(
+            line,
+            scale_factor,
+            scale_factor,
+        )
+        parts = get_parts(split(poly, line)).tolist()
+        parts = [mapping(p)['coordinates'][0][:-1] for p in parts]
+        return parts
 
     def min_distance(self, obj_1, obj_2) -> float:
-        """Smallest distance between two objects
+        """Finds smallest distance between two objects.
+
         Args:
             obj_1: the first :obj:`obj_1` that explore
             obj_2: the second :obj:`obj_2` that explore
+
         Returns:
             value of distance between the nearest points of the explored objects
         """
-
         if isinstance(obj_1, Polygon):
-            obj_1 = self._poly_to_geom(obj_1)
+            obj_1 = self._poly_to_shapely_line(obj_1)
         elif isinstance(obj_1, Point):
-            obj_1 = self._pt_to_geom(obj_1)
+            obj_1 = self._pt_to_shapely_pt(obj_1)
+
         if isinstance(obj_2, Polygon):
-            obj_2 = self._poly_to_geom(obj_2)
+            obj_2 = self._poly_to_shapely_line(obj_2)
         elif isinstance(obj_2, Point):
-            obj_2 = self._pt_to_geom(obj_2)
+            obj_2 = self._pt_to_shapely_pt(obj_2)
+
         distance = obj_1.distance(obj_2)
 
         return distance
 
-    def centroid_distance(self, point: 'Point', poly: 'Polygon') -> Point:
-        # Distance from point to polygon
-        geom_point = self._pt_to_geom(point)
-        geom_poly = self._poly_to_geom(poly)
-        d = geom_point.distance(geom_poly)
+    def centroid_distance(self, point: Point, poly: Polygon) -> Point:
+        """Finds distance from point to polygon."""
+        geom_point = self._pt_to_shapely_pt(point)
+        geom_poly = self._poly_to_shapely_line(poly)
+        dist = geom_point.distance(geom_poly)
 
-        return d
+        return dist
 
 
-# Function to create a circle, needed for one of the synthetic examples
-def create_circle(struct: 'Structure') -> 'Structure':
+def create_circle(struct: Structure) -> Structure:
+    """Creates circle."""
     geom = Geometry2D(is_closed=False)
     poly = struct.polygons[0]
 
@@ -262,7 +600,9 @@ def create_circle(struct: 'Structure') -> 'Structure':
     a = radius * np.cos(theta) + center_x + 2.2 * radius
     b = radius * np.sin(theta) + center_y
 
-    struct = Polygon(polygon_id=str(uuid4()),
-                     points=[(Point(x, y)) for x, y in zip(a, b)])
+    struct = Polygon(
+        polygon_id=str(uuid4()),
+        points=[(Point(x, y)) for x, y in zip(a, b)],
+    )
 
     return struct
diff --git a/gefest/core/geometry/utils.py b/gefest/core/geometry/utils.py
new file mode 100644
index 000000000..42717bf78
--- /dev/null
+++ b/gefest/core/geometry/utils.py
@@ -0,0 +1,416 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from gefest.core.geometry.domain import Domain
+
+from random import randint
+from typing import Optional
+
+import numpy as np
+from polygenerator import (
+    random_convex_polygon,
+    random_polygon,
+    random_star_shaped_polygon,
+)
+from shapely.affinity import scale
+from shapely.geometry import (
+    GeometryCollection,
+    LineString,
+    MultiLineString,
+    MultiPolygon,
+)
+from shapely.geometry import Point as SPoint
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.geometry_2d import Geometry2D
+
+
+def random_polar(origin: Point, radius_scale: float) -> Point:
+    """Generates random point in circe.
+
+    The distribution density is shifted to the center.
+    https://habrastorage.org/r/w1560/webt/sn/xx/ow/snxxowuhnuqnr8dp4sadmyswqu0.png
+    """
+    theta = np.random.random() * 2 * np.pi
+    r = np.random.random() * radius_scale
+    return Point((r * np.cos(theta)) + origin.x, (r * np.sin(theta)) + origin.y)
+
+
+def get_random_structure(domain: Domain, **kwargs) -> Structure:
+    """Generates random structure."""
+    structure = Structure(polygons=())
+    num_pols = randint(domain.min_poly_num, domain.max_poly_num)
+
+    for _ in range(num_pols):
+        polygon = get_random_poly(parent_structure=structure, domain=domain)
+        if polygon is not None and len(polygon.points) > 1:
+            structure.append(polygon)
+        else:
+            continue
+
+    return structure
+
+
+def get_random_poly(parent_structure: Optional[Structure], domain: Domain) -> Optional[Polygon]:
+    """Generates random polygon."""
+    geometry = domain.geometry
+    try:
+        """
+        Function for creation random polygon.
+        The main idea is to create centroids along with a neighborhood to locate the polygon.
+        Neighborhood sizes range from small to large.
+        The main condition for creating a neighborhood is the absence of other polygons in it.
+        After setting the neighborhood, polygons are created around the centroid inside it.
+        This approach is less demanding on postprocessing than random creation
+        """
+        occupied_area = _create_area(domain, parent_structure, geometry)
+        if occupied_area is None:
+            # If it was not possible to find the occupied area then returns None
+            return None
+        else:
+            centroid = occupied_area[0]
+            sigma = occupied_area[1]  # Size of neighborhood
+            # The polygon is created relative to the centroid
+            # and the size of the neighborhood
+            polygon = create_poly(centroid, sigma, domain, geometry)
+    except Exception as ex:
+        print(ex)
+        import traceback
+
+        print(traceback.format_exc())
+        return None
+
+    return polygon
+
+
+def create_poly(centroid: Point, sigma: int, domain: Domain, geometry: Geometry2D) -> Polygon:
+    """Generates random polygon using poltgenerator lib.
+
+    For details see: https://github.com/bast/polygenerator
+    """
+    num_points = randint(
+        domain.min_points_num,
+        domain.max_points_num,
+    )
+    if domain.geometry.is_convex:  # convex closed/unclosed
+        generator = random_convex_polygon
+
+    else:  # non_convex, unclosed
+        generator = np.random.choice(
+            [
+                random_convex_polygon,
+                random_star_shaped_polygon,
+                random_polygon,
+            ],
+        )
+
+    new_poly = generator(num_points)
+    if not geometry.is_closed:
+        start = np.random.choice(range(num_points), 1)[0]
+        new_poly = [new_poly[((start + i) % len(new_poly))] for i in range(num_points)]
+
+    scale_factor = 2 * (sigma / (1 ** 0.5))
+    c, s = centroid, scale_factor
+    new_poly = Polygon(
+        [
+            Point(
+                ((p[0] - 0.5) * s) + c.x,
+                ((p[1] - 0.5) * s) + c.y,
+            )
+            for p in new_poly
+        ],
+    )
+    if domain.geometry.is_closed:
+        new_poly.points.append(new_poly[0])
+
+    return new_poly
+
+
+def _get_sigma_max(poly, init_max):
+    sigma_max = init_max
+    left_bound = 0
+    right_bound = init_max
+    for _ in range(100):
+        if poly.buffer(-sigma_max, 1).is_empty:
+            right_bound = sigma_max
+            sigma_max -= (right_bound - left_bound) / 2
+        else:
+            left_bound = sigma_max
+            sigma_max += (right_bound - left_bound) / 2
+
+        if sigma_max < 0.02:
+            break
+
+    return sigma_max
+
+
+def _create_area(domain: Domain, structure: Structure, geometry: Geometry2D) -> (Point, float):
+    """Finds free area for new polygon."""
+    geom = domain.geometry
+    area = geom._poly_to_shapely_poly(domain.bound_poly).buffer(-(domain.min_dist_from_boundary), 1)
+    prohibs = geom.get_prohibited_geom(
+        domain.prohibited_area,
+        buffer_size=domain.dist_between_polygons,
+    )
+    for g in prohibs.geoms:
+        area = area.difference(
+            g.buffer(
+                domain.min_dist_from_boundary,
+            ),
+        )
+
+    for poly in structure.polygons:
+        area = area.difference(
+            geom._poly_to_shapely_poly(poly).convex_hull.buffer(domain.dist_between_polygons, 1),
+        ).intersection(area)
+
+    sigma_max = 0.95 * _get_sigma_max(area, (min(domain.max_x, domain.max_y) / 2) * 1.01)
+    sigma_min = max(domain.max_x - domain.min_x, domain.max_y - domain.min_y) * 0.05
+
+    sigma = np.random.uniform(sigma_min, sigma_max)
+    centroid = geom.get_random_point_in_shapey_geom(area.buffer(-sigma, 1))
+
+    return centroid, sigma * 0.99
+
+
+def get_selfintersection_safe_point(
+    poly: Polygon,
+    domain: Domain,
+    point_left_idx: int,
+    point_right_idx: int,
+) -> Polygon:
+    """Finds a new point for the polygon that does not generate self-intersections."""
+    geom = domain.geometry
+
+    if geom.is_closed:
+        parts = [
+            *poly.points[(point_right_idx) % len(poly) : :],
+            *poly.points[0 : (point_left_idx + 1) % len(poly)],
+        ]
+        border = [geom._poly_to_shapely_line(Polygon(parts))]
+    else:
+        border = [
+            geom._poly_to_shapely_line(Polygon(part))
+            for part in [
+                poly.points[(point_right_idx) % len(poly) :],
+                poly.points[0 : (point_left_idx + 1) % len(poly)],
+            ]
+            if len(part) != 1
+        ]
+
+    border = MultiLineString(
+        [scale(line, xfact=0.99, yfact=0.99) for line in border if not line.is_empty],
+    )
+    l_ = poly[point_left_idx % len(poly)]
+    r_ = poly[point_right_idx % len(poly)]
+
+    origin = Point((l_.x + r_.x) / 2, (l_.y + l_.y) / 2)
+    scalefactor = (
+        (LineString(((l_.x, l_.y), (r_.x, r_.y))).length / 2)
+        if len(poly) > 2
+        else geom.get_length(poly) * 1.5
+    )
+    points = []
+    p_area = geom.get_prohibited_geom(
+        domain.prohibited_area,
+        buffer_size=domain.dist_between_polygons,
+    )
+    for _ in range(200):
+        point = random_polar(origin, scalefactor)
+        points.append(point)
+        new_segment = scale(
+            LineString(((l_.x, l_.y), (point.x, point.y), (r_.x, r_.y))),
+            0.99,
+            0.99,
+        )
+
+        if all(
+            (
+                not new_segment.intersects(border),
+                not new_segment.intersects(geom._poly_to_shapely_line(domain.allowed_area)),
+                not any(g.intersects(new_segment) for g in p_area.geoms),
+            ),
+        ):
+            break
+    else:
+        point = None
+
+    return point, border
+
+
+def get_convex_safe_area(
+    poly: Polygon,
+    domain: Domain,
+    point_left_idx: int,
+    point_right_idx: int,
+    structure: Structure,
+    poly_idx: int,
+    **kwargs,
+) -> Polygon:
+    """Finds an area from which a new point can be selected without breaking the convexity.
+
+    Point_left_idx and point_right_idx expected to be neighbours.
+    """
+    geom = domain.geometry
+    movment_area = None
+
+    poly_len = len(poly)
+    if poly_len == 2:
+        p = poly[(point_left_idx + 1) % poly_len]
+        circle = SPoint(p.x, p.y).buffer(geom.get_length(poly) * 1.5)
+        base_area = [Point(p[0], p[1]) for p in list(circle.exterior.coords)]
+
+    elif poly_len == 3:
+        p = poly[(point_left_idx + 1) % poly_len]
+        circle = SPoint(p.x, p.y).buffer(geom.get_length(poly) / 3)
+        base_area = [Point(p[0], p[1]) for p in list(circle.exterior.coords)]
+
+    else:
+        left_cut = [
+            poly[((point_left_idx - 1) + poly_len) % poly_len],
+            poly[(point_left_idx) % poly_len],
+        ]
+        right_cut = [
+            poly[(point_right_idx + 1) % poly_len],
+            poly[(point_right_idx) % poly_len],
+        ]
+
+        cut_angles = (
+            geom.get_angle(
+                left_cut,
+                (left_cut[1], right_cut[1]),
+            ),
+            geom.get_angle(
+                right_cut,
+                (right_cut[1], left_cut[1]),
+            ),
+        )
+
+        p1, p2 = left_cut[1], right_cut[1]
+        pad_vector_points = [p1, geom.rotate_point(p2, p1, -90)]
+
+        pad_vector = (
+            pad_vector_points[1].x - pad_vector_points[0].x,
+            pad_vector_points[1].y - pad_vector_points[0].y,
+        )
+
+        slice_line = (
+            Point(left_cut[1].x + pad_vector[0], left_cut[1].y + pad_vector[1]),
+            Point(right_cut[1].x + pad_vector[0], right_cut[1].y + pad_vector[1]),
+        )
+
+        scale_factor = max(domain.max_x, domain.max_y) * 100
+
+        if sum(cut_angles) < 170:
+
+            intersection_point = geom.intersection_line_line(
+                left_cut,
+                right_cut,
+                scale_factor,
+                scale_factor,
+            )
+            if intersection_point is not None:
+                base_area = [
+                    left_cut[1],
+                    intersection_point,
+                    right_cut[1],
+                ]
+            else:
+                base_area = [
+                    left_cut[1],
+                    geom.intersection_line_line(left_cut, slice_line, scale_factor, scale_factor),
+                    geom.intersection_line_line(right_cut, slice_line, scale_factor, scale_factor),
+                    right_cut[1],
+                ]
+
+            slice_points = geom.intersection_poly_line(
+                Polygon(base_area),
+                slice_line,
+                scale_factor,
+            )
+            if slice_points:
+                base_area = [
+                    left_cut[1],
+                    *slice_points,
+                    right_cut[1],
+                ]
+                base_area = [
+                    Point(p[0], p[1])
+                    for p in geom._poly_to_shapely_poly(
+                        Polygon(base_area),
+                    ).convex_hull.exterior.coords
+                ]
+
+        else:
+            base_area = [
+                left_cut[1],
+                geom.intersection_line_line(left_cut, slice_line, scale_factor, scale_factor),
+                geom.intersection_line_line(right_cut, slice_line, scale_factor, scale_factor),
+                right_cut[1],
+            ]
+
+            if None in base_area:
+                return None
+
+            if not geom._poly_to_shapely_poly(Polygon(base_area)).is_simple:
+                base_area = [
+                    left_cut[1],
+                    geom.intersection_line_line(left_cut, right_cut, scale_factor, scale_factor),
+                    right_cut[1],
+                ]
+
+        if base_area:
+            other_polygons = Structure([poly for i, poly in enumerate(structure) if i != poly_idx])
+            movment_area = _substract_oссupied_area(
+                Polygon(base_area),
+                other_polygons,
+                domain,
+                left_cut[1].coords,
+                right_cut[1].coords,
+            )
+
+    return movment_area
+
+
+def _substract_oссupied_area(
+    base_area: Polygon,
+    structure: Structure,
+    domain: Domain,
+    left_point: tuple[float, float],
+    right_point: tuple[float, float],
+):
+    geom = domain.geometry
+    prohibs = geom.get_prohibited_geom(
+        domain.prohibited_area,
+        buffer_size=domain.dist_between_polygons,
+    )
+
+    movment_area = geom._poly_to_shapely_poly(base_area).intersection(
+        geom._poly_to_shapely_poly(domain.allowed_area),
+    )
+
+    for fig in prohibs.geoms:
+        movment_area = movment_area.difference(
+            fig.buffer(
+                domain.min_dist_from_boundary,
+            ),
+        )
+
+    for idx in range(len(structure)):
+        movment_area = movment_area.difference(
+            geom._poly_to_shapely_poly(structure[idx]).buffer(
+                domain.dist_between_polygons,
+            ),
+        )
+
+    if movment_area.is_empty:
+        movment_area = None
+    elif isinstance(movment_area, (MultiPolygon, GeometryCollection)):
+        for g_ in movment_area.geoms:
+            if g_.intersects(LineString((left_point, right_point))):
+                movment_area = g_
+                break
+
+    return movment_area
diff --git a/gefest/core/opt/adapter.py b/gefest/core/opt/adapter.py
deleted file mode 100644
index 625bf612f..000000000
--- a/gefest/core/opt/adapter.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from typing import Any, Dict, Optional
-
-from golem.core.adapter.adapter import BaseOptimizationAdapter
-from golem.core.optimisers.graph import OptGraph, OptNode
-
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.structure import Structure
-
-
-class StructureAdapter(BaseOptimizationAdapter):
-    def __init__(self):
-        """
-        Optimization adapter for Pipeline class
-        """
-        super().__init__(base_graph_class=Structure)
-
-    def _point_to_node(self, point):
-        # Prepare content for nodes
-        if type(point) == OptNode:
-            self._log.warn('Unexpected: OptNode found in adapter instead'
-                           'Point.')
-        else:
-            content = {'name': f'pt_{point.x}_{point.y}',
-                       'params': {}}
-
-            node = OptNode(content=content)
-            node.content['params'] = {
-                'x': point.x,
-                'y': point.y
-            }
-            return node
-
-    def adapt(self, adaptee: Structure):
-        """ Convert Structure class into OptGraph class """
-        nodes = []
-        for polygon in adaptee.polygons:
-            prev_node = None
-            for point_id in range(len(polygon.points)):
-                node = self._point_to_node(polygon.points[point_id])
-                if prev_node:
-                    node.nodes_from = [prev_node]
-                prev_node = node
-                nodes.append(node)
-
-        graph = OptGraph(nodes)
-        return graph
-
-    def restore(self, opt_graph: OptGraph, metadata: Optional[Dict[str, Any]] = None) -> 'Structure':
-        """ Convert OptGraph class into Structure class """
-        structure = []
-        poly = Polygon()
-        for node in opt_graph.nodes:
-            if node.nodes_from is None:
-                # next polygon started
-                structure.append(poly)
-                poly = Polygon()
-            poly.points.append(Point(node.content['params']['x'],
-                                     node.content['params']['y']))
-        if poly not in structure:
-            # add last poly
-            structure.append(poly)
-
-        return Structure(structure)
diff --git a/cases/synthetic/intersect_figs/configuration/__init__.py b/gefest/core/opt/adapters/__init__.py
similarity index 100%
rename from cases/synthetic/intersect_figs/configuration/__init__.py
rename to gefest/core/opt/adapters/__init__.py
diff --git a/gefest/core/opt/adapters/configuration_mapping.py b/gefest/core/opt/adapters/configuration_mapping.py
new file mode 100644
index 000000000..2eba8d9f6
--- /dev/null
+++ b/gefest/core/opt/adapters/configuration_mapping.py
@@ -0,0 +1,100 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+from functools import partial
+
+from golem.core.optimisers.adaptive.operator_agent import MutationAgentTypeEnum
+from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
+from golem.core.optimisers.genetic.operators.inheritance import GeneticSchemeTypesEnum
+from golem.core.optimisers.genetic.operators.selection import SelectionTypesEnum
+from golem.core.optimisers.optimization_parameters import GraphRequirements
+from golem.core.optimisers.optimizer import GraphGenerationParams
+
+from gefest.core.opt.adapters.factories import StructureFactory
+from gefest.core.opt.adapters.operator import OperationWrap
+from gefest.core.opt.operators.crossovers import crossover_structures
+from gefest.core.opt.operators.mutations import mutate_structure
+from gefest.core.opt.postproc.resolve_errors import validate
+
+
+def map_into_graph_requirements(
+    opt_params: OptimizationParams,
+) -> GraphRequirements:
+    """Translates OptimizationParams into GraphRequirements."""
+    return GraphRequirements(
+        early_stopping_timeout=opt_params.early_stopping_timeout,
+        early_stopping_iterations=opt_params.early_stopping_iterations,
+        keep_n_best=opt_params.pop_size,
+        keep_history=opt_params.golem_keep_histoy,
+        num_of_generations=opt_params.n_steps,
+        n_jobs=opt_params.estimation_n_jobs,
+        history_dir=opt_params.log_dir,
+    )
+
+
+def map_into_graph_generation_params(
+    opt_params: OptimizationParams,
+) -> GraphGenerationParams:
+    """Translates OptimizationParams into GraphGenerationParams."""
+    return GraphGenerationParams(
+        adapter=opt_params.golem_adapter,
+        rules_for_constraint=[
+            partial(
+                validate,
+                rules=opt_params.postprocess_rules,
+                domain=opt_params.domain,
+            ),
+        ],
+        random_graph_factory=StructureFactory(opt_params.sampler, opt_params.golem_adapter),
+    )
+
+
+def map_into_gpa(
+    opt_params: OptimizationParams,
+) -> GPAlgorithmParameters:
+    """Translates OptimizationParams into GPAlgorithmParameters."""
+    return GPAlgorithmParameters(
+        multi_objective=False,
+        genetic_scheme_type=getattr(
+            GeneticSchemeTypesEnum,
+            opt_params.golem_genetic_scheme_type.name,
+        ),
+        mutation_types=[
+            OperationWrap(
+                executor=mutate_structure,
+                operations=[mut],
+                operation_chance=opt_params.mutation_prob,
+                operations_probs=[1],
+                domain=opt_params.domain,
+                postproc_func=opt_params.postprocessor,
+                postprocess_rules=opt_params.postprocess_rules,
+                attempts=opt_params.postprocess_attempts,
+            )
+            for mut in opt_params.mutations
+        ],
+        crossover_types=[
+            OperationWrap(
+                executor=crossover_structures,
+                operations=[opt_params.crossovers[1]],
+                operation_chance=opt_params.crossover_prob,
+                operations_probs=[1],
+                domain=opt_params.domain,
+                postproc_func=opt_params.postprocessor,
+                postprocess_rules=opt_params.postprocess_rules,
+                attempts=opt_params.postprocess_attempts,
+            ),
+        ],
+        selection_types=[getattr(SelectionTypesEnum, opt_params.golem_selection_type)],
+        pop_size=opt_params.pop_size,
+        max_pop_size=opt_params.pop_size,
+        crossover_prob=opt_params.crossover_prob,
+        mutation_prob=1,
+        adaptive_mutation_type=getattr(
+            MutationAgentTypeEnum,
+            opt_params.golem_adaptive_mutation_type,
+        ),
+    )
diff --git a/gefest/core/opt/adapters/factories.py b/gefest/core/opt/adapters/factories.py
new file mode 100644
index 000000000..6b8d30d07
--- /dev/null
+++ b/gefest/core/opt/adapters/factories.py
@@ -0,0 +1,22 @@
+from golem.core.adapter.adapter import BaseOptimizationAdapter
+from golem.core.optimisers.graph import OptGraph
+from golem.core.optimisers.random_graph_factory import RandomGraphFactory
+
+from gefest.tools.samplers.sampler import Sampler
+
+
+class StructureFactory(RandomGraphFactory):
+    """Simple GEFEST sampler wrap for GOLEM RandomGraphFactory compatibility."""
+
+    def __init__(
+        self,
+        sampler: Sampler,
+        adapter: BaseOptimizationAdapter,
+    ) -> None:
+        self.sampler = sampler
+        self.adapter = adapter
+
+    def __call__(self, *args, **kwargs) -> OptGraph:
+        """Generates ranom GOLEM graph."""
+        samples = self.sampler(1)
+        return self.adapter(samples[0])
diff --git a/gefest/core/opt/adapters/operator.py b/gefest/core/opt/adapters/operator.py
new file mode 100644
index 000000000..ba3e40cff
--- /dev/null
+++ b/gefest/core/opt/adapters/operator.py
@@ -0,0 +1,58 @@
+from functools import partial
+from typing import Any
+
+from golem.serializers.serializer import register_serializable
+
+
+@register_serializable
+class OperationWrap:
+    """GOLEM wrap for GEFEST mutations and crossovers."""
+
+    def __init__(
+        self,
+        executor,
+        operations,
+        operation_chance,
+        operations_probs,
+        domain,
+        postproc_func,
+        postprocess_rules,
+        attempts,
+    ):
+        self.executor = executor
+        self.operations = operations
+        self.operation_chance = operation_chance
+        self.operations_probs = operations_probs
+        self.domain = domain
+        self.postproc_func = postproc_func
+        self.postprocess_rules = postprocess_rules
+        self.attempts = attempts
+
+    def __repr__(self):
+        return f'{self.operations[0].__name__}'
+
+    def __call__(self, *args, **kwargs):
+        """Executes mutation or crossover."""
+        executor = partial(
+            self.executor,
+            operations=self.operations,
+            operation_chance=self.operation_chance,
+            operations_probs=self.operations_probs,
+            domain=self.domain,
+            **kwargs,
+        )
+        operation_result = executor(*args)
+        corrected = self.postproc_func(
+            operation_result,
+        )
+        if executor.func.__name__ == 'mutate_structure':
+            corrected = corrected[0]
+
+        return corrected
+
+    def __str__(self):
+        return f'{self.operations[0].__name__}'
+
+    def to_json(self) -> dict[str, Any]:
+        """Serializes object and ignores unrelevant fields."""
+        return {'Name': f'{self.operations[0].__name__}'}
diff --git a/gefest/core/opt/adapters/structure.py b/gefest/core/opt/adapters/structure.py
new file mode 100644
index 000000000..2077d742d
--- /dev/null
+++ b/gefest/core/opt/adapters/structure.py
@@ -0,0 +1,86 @@
+from golem.core.adapter.adapter import BaseOptimizationAdapter
+from golem.core.optimisers.graph import OptGraph, OptNode
+from loguru import logger
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
+
+
+class StructureAdapter(BaseOptimizationAdapter):
+    """Adapter for GOLEM."""
+
+    def __init__(self, domain: Domain) -> None:
+        super().__init__(base_graph_class=Structure)
+        self.domain = domain
+
+    def _point_to_node(self, point) -> OptNode:
+        if type(point) is OptNode:
+            self._log.warn('Unexpected: OptNode found in adapter instead' 'Point.')
+        else:
+            content = {
+                'name': f'pt_{point.x}_{point.y}',
+                'params': {},
+            }
+            node = OptNode(content=content)
+            node.content['params'] = {
+                'x': point.x,
+                'y': point.y,
+            }
+            return node
+
+    def _adapt(self, adaptee: Structure) -> OptGraph:
+        """Convert Structure into OptGraph."""
+        nodes = []
+        for polygon in adaptee.polygons:
+            if polygon[-1] == polygon[0]:
+                polygon = polygon[:-1]
+
+            prev_node = None
+            for point_id in range(len(polygon.points)):
+                node = self._point_to_node(polygon.points[point_id])
+                if prev_node:
+                    node.nodes_from = [prev_node]
+
+                prev_node = node
+                nodes.append(node)
+
+        graph = OptGraph(nodes)
+        return graph
+
+    def _restore(self, opt_graph: OptGraph) -> Structure:
+        """Convert OptGraph into Structure."""
+        structure = []
+        poly = Polygon()
+        first_node = opt_graph.nodes[0]
+        if not len(first_node.nodes_from):
+            poly.points.append(
+                Point(
+                    first_node.content['params']['x'],
+                    first_node.content['params']['y'],
+                ),
+            )
+        else:
+            logger.critical('Unexpected nodes order. First node is not root.')
+
+        for node in opt_graph.nodes[1:]:
+            if not len(node.nodes_from):
+                if self.domain.geometry.is_closed:
+                    poly.points.append(poly[0])
+
+                structure.append(poly)
+                poly = Polygon()
+
+            poly.points.append(
+                Point(
+                    node.content['params']['x'],
+                    node.content['params']['y'],
+                ),
+            )
+
+        if poly not in structure:
+            if self.domain.geometry.is_closed:
+                poly.points.append(poly[0])
+
+            structure.append(poly)
+
+        return Structure(structure)
diff --git a/gefest/core/opt/analytics.py b/gefest/core/opt/analytics.py
index 720de74b7..5ab9c8de3 100644
--- a/gefest/core/opt/analytics.py
+++ b/gefest/core/opt/analytics.py
@@ -10,8 +10,15 @@ class EvoAnalytics:
     run_id = 'def'
 
     @staticmethod
-    def save_cantidate(pop_num, objectives, anlytics_objectives, genotype, referenced_dataset, local_id,
-                       subfolder_name=None):
+    def save_cantidate(
+        pop_num,
+        objectives,
+        anlytics_objectives,
+        genotype,
+        referenced_dataset,
+        local_id,
+        subfolder_name=None,
+    ):
 
         if not os.path.isdir(f'HistoryFiles'):
             os.mkdir(f'HistoryFiles')
@@ -27,19 +34,47 @@ def save_cantidate(pop_num, objectives, anlytics_objectives, genotype, reference
         if not os.path.isfile(hist_file_name):
             with open(hist_file_name, 'w', newline='') as f:
                 EvoAnalytics._write_header_to_csv(f, objectives, anlytics_objectives, genotype)
-                EvoAnalytics._write_candidate_to_csv(f, pop_num, objectives, anlytics_objectives, genotype,
-                                                     referenced_dataset, local_id)
+                EvoAnalytics._write_candidate_to_csv(
+                    f,
+                    pop_num,
+                    objectives,
+                    anlytics_objectives,
+                    genotype,
+                    referenced_dataset,
+                    local_id,
+                )
         else:
             with open(hist_file_name, 'a', newline='') as f:
-                EvoAnalytics._write_candidate_to_csv(f, pop_num, objectives, anlytics_objectives, genotype,
-                                                     referenced_dataset, local_id)
+                EvoAnalytics._write_candidate_to_csv(
+                    f,
+                    pop_num,
+                    objectives,
+                    anlytics_objectives,
+                    genotype,
+                    referenced_dataset,
+                    local_id,
+                )
 
     @staticmethod
-    def _write_candidate_to_csv(f, pop_num, objs, analytics_objectives, genotype, referenced_dataset, local_id):
+    def _write_candidate_to_csv(
+        f,
+        pop_num,
+        objs,
+        analytics_objectives,
+        genotype,
+        referenced_dataset,
+        local_id,
+    ):
         writer = csv.writer(f, delimiter=',', quotechar=' ', quoting=csv.QUOTE_MINIMAL)
         writer.writerow(
-            [pop_num, referenced_dataset, ','.join([str(round(_, 6)) for _ in objs if _ is not None]),
-             analytics_objectives, local_id])
+            [
+                pop_num,
+                referenced_dataset,
+                ','.join([str(round(_, 6)) for _ in objs if _ is not None]),
+                analytics_objectives,
+                local_id,
+            ],
+        )
 
     @staticmethod
     def _write_header_to_csv(f, objectives, analytics_objectives, genotype):
@@ -47,8 +82,14 @@ def _write_header_to_csv(f, objectives, analytics_objectives, genotype):
             analytics_objectives = []
         writer = csv.writer(f, delimiter=',', quotechar=' ', quoting=csv.QUOTE_MINIMAL)
         writer.writerow(
-            ['pop_num', 'referenced_dataset', ','.join([f'obj{_}' for _ in range(0, len(objectives))]),
-             ','.join([f'ananlytics_ob{_}' for _ in range(len(analytics_objectives))]), 'local_id'])
+            [
+                'pop_num',
+                'referenced_dataset',
+                ','.join([f'obj{_}' for _ in range(0, len(objectives))]),
+                ','.join([f'ananlytics_ob{_}' for _ in range(len(analytics_objectives))]),
+                'local_id',
+            ],
+        )
 
     @staticmethod
     def clear():
@@ -60,15 +101,15 @@ def clear():
     def create_boxplot():
         f = f'HistoryFiles/history_{EvoAnalytics.run_id}.csv'
 
-        df = pd.read_csv(f, header=0, sep="\s*,\s*")
+        df = pd.read_csv(f, header=0, sep='\s*,\s*')
         plt.clf()
         plt.figure(figsize=(20, 10))
         plt.xticks(rotation=45)
-        sns.boxplot(x=df['pop_num'], y=df['obj0'], palette="Blues")
+        sns.boxplot(x=df['pop_num'], y=df['obj0'], palette='Blues')
         plt.show()
 
         if 'obj1' in df.columns:
             plt.figure(figsize=(20, 10))
             plt.xticks(rotation=45)
-            sns.boxplot(x=df['pop_num'], y=df['obj1'], palette="Blues")
+            sns.boxplot(x=df['pop_num'], y=df['obj1'], palette='Blues')
             plt.show()
diff --git a/gefest/core/opt/constraints.py b/gefest/core/opt/constraints.py
deleted file mode 100644
index 8fc3d7c4b..000000000
--- a/gefest/core/opt/constraints.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import copy
-
-from gefest.core.algs.geom.validation import out_of_bound, self_intersection, too_close, intersection, unclosed_poly, \
-    is_contain
-from gefest.core.structure.structure import Structure
-
-
-def check_constraints(structure: Structure, is_lightweight: bool = False, domain=None, model_func=None) -> bool:
-    try:
-        if any([(poly is None or
-                 len(poly.points) == 0 or
-                 any([pt is None for pt in poly.points]))
-                for poly in structure.polygons]):
-            print('Wrong structure - problems with points')
-            return False
-
-        cts = [out_of_bound(structure, domain),
-               too_close(structure, domain),
-               is_contain(structure, domain),
-               self_intersection(structure),
-               intersection(structure, domain),
-               unclosed_poly(structure, domain)]
-        structurally_correct = not any(cts)
-
-        if not structurally_correct:
-            return structure
-    except Exception as ex:
-        print(ex)
-        import traceback
-        print(traceback.format_exc())
-        return False
-
-    return structure
diff --git a/gefest/core/opt/gen_design.py b/gefest/core/opt/gen_design.py
deleted file mode 100644
index 5f80910bd..000000000
--- a/gefest/core/opt/gen_design.py
+++ /dev/null
@@ -1,106 +0,0 @@
-import os
-import shutil
-import pickle
-from tqdm import tqdm
-from pathlib import Path
-import time
-
-
-def design(n_steps: int,
-           pop_size: int,
-           estimator,
-           sampler,
-           optimizer,
-           extra=False):
-    """
-    Generative design procedure
-    :param n_steps: (Int) number of generative design steps
-    :param pop_size: (Int) number of samples in population
-    :param estimator: (Object) estimator with .estimate() method
-    :param sampler: (Object) sampler with .sample() method
-    :param optimizer: (Object) optimizer with .optimize() method
-    :param extra: (Bool) flag for extra sampling
-    :return: (List[Structure]) designed samples
-    """
-
-    def _save_res(performance, samples):
-        """
-        Saving results in pickle format
-        :param performance: (List), performance of samples
-        :param samples: (List), samples to save
-        :return: None
-        """
-        with open(Path(path, f'performance_{i}.pickle'), 'wb') as handle:
-            pickle.dump(performance, handle, protocol=pickle.HIGHEST_PROTOCOL)
-
-        with open(Path(path, f'population_{i}.pickle'), 'wb') as handle:
-            pickle.dump(samples, handle, protocol=pickle.HIGHEST_PROTOCOL)
-
-        return
-
-    def _save_time(spent_time: list):
-        """
-        Saving time history in pickle format
-        :param spent_time: (List), performance of samples
-        :return: None
-        """
-
-        with open(Path(path, 'time_history.pickle'), 'wb') as handle:
-            pickle.dump(spent_time, handle, protocol=pickle.HIGHEST_PROTOCOL)
-
-        return
-
-    def _remain_best(performance, samples):
-        """
-        From current population we remain best only
-        :param performance: (List), performance of samples
-        :param samples: (List), samples to save
-        :return: (Tuple), performance and samples
-        """
-        # Combination of performance and samples
-        perf_samples = list(zip(performance, samples))
-
-        # Sorting with respect to performance
-        sorted_pop = sorted(perf_samples, key=lambda x: x[0])[:pop_size]
-
-        performance = [x[0] for x in sorted_pop]
-        samples = [x[1] for x in sorted_pop]
-
-        return performance, samples
-
-    path = 'HistoryFiles'
-
-    if os.path.exists(path):
-        shutil.rmtree(path)
-    os.makedirs(path)
-
-    samples = sampler.sample(n_samples=pop_size)
-    time_history = []
-    start_time = time.time()
-
-    for i in tqdm(range(n_steps)):
-        performance = estimator.estimate(population=samples)
-        end_step_time = time.time()
-        spent_until_step = end_step_time - start_time
-        time_history.append(spent_until_step)
-
-        # Choose best and save the results
-        performance, samples = _remain_best(performance, samples)
-        print(f'\nBest performance is {performance[0]}')
-
-        _save_res(performance, samples)
-
-        if optimizer:
-            samples = optimizer.step(population=samples, performance=performance, n_step=i)
-
-        # Extra sampling if necessary
-        # or if optimizer is missing
-        if not optimizer or extra:
-            if not optimizer:
-                samples = sampler.sample(n_samples=pop_size)
-            else:
-                extra_samples = sampler.sample(n_samples=pop_size)
-                samples = samples + extra_samples
-    _save_time(time_history)
-
-    return samples
diff --git a/gefest/core/opt/individual.py b/gefest/core/opt/individual.py
deleted file mode 100644
index d693fa479..000000000
--- a/gefest/core/opt/individual.py
+++ /dev/null
@@ -1,13 +0,0 @@
-from copy import deepcopy
-from uuid import uuid4
-
-
-class Individual:
-    def __init__(self, genotype):
-        self.objectives = ()
-        self.analytics_objectives = []
-        self.fitness = None
-        self.genotype = deepcopy(genotype)
-        self.graph = self.genotype
-        self.population_number = 0
-        self.uid = str(uuid4())
diff --git a/cases/synthetic/line/__init__.py b/gefest/core/opt/objective/__init__.py
similarity index 100%
rename from cases/synthetic/line/__init__.py
rename to gefest/core/opt/objective/__init__.py
diff --git a/gefest/core/opt/objective/objective.py b/gefest/core/opt/objective/objective.py
new file mode 100644
index 000000000..abe1df9c9
--- /dev/null
+++ b/gefest/core/opt/objective/objective.py
@@ -0,0 +1,38 @@
+from abc import ABCMeta, abstractmethod
+from typing import Optional
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.tools import Estimator
+
+
+class Objective(metaclass=ABCMeta):
+    """Base objective class.
+
+    Must be used as base class for any user-defined objectives.
+
+    """
+
+    def __init__(
+        self,
+        domain: Domain,
+        estimator: Optional[Estimator] = None,
+    ) -> None:
+        self.domain = domain
+        self.estimator = estimator
+
+    def __call__(
+        self,
+        ind: Structure,
+        **kwargs,
+    ) -> list[Structure]:
+        """Calls evaluate method."""
+        return self._evaluate(ind)
+
+    @abstractmethod
+    def _evaluate(
+        self,
+        ind: Structure,
+    ) -> float:
+        """Must implement logic spicific objectiv evaluation."""
+        ...
diff --git a/gefest/core/opt/objective/objective_eval.py b/gefest/core/opt/objective/objective_eval.py
new file mode 100644
index 000000000..ab447b607
--- /dev/null
+++ b/gefest/core/opt/objective/objective_eval.py
@@ -0,0 +1,54 @@
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.opt.objective.objective import Objective
+from gefest.core.utils import where
+from gefest.core.utils.parallel_manager import BaseParallelDispatcher
+
+
+class ObjectivesEvaluator:
+    """Implements objecives evaluation procedure."""
+
+    def __init__(
+        self,
+        objectives: list[Objective],
+        n_jobs=None,
+    ) -> None:
+        self.objectives = objectives
+        if n_jobs in (0, 1):
+            self._pm = None
+        else:
+            self._pm = BaseParallelDispatcher(n_jobs)
+
+    def __call__(
+        self,
+        pop: list[Structure],
+        **kwargs,
+    ) -> list[Structure]:
+        """Calls objectives evaluation."""
+        return self.set_pop_objectives(pop=pop)
+
+    def set_pop_objectives(
+        self,
+        pop: list[Structure],
+    ) -> list[Structure]:
+        """Evaluates objectives for whole population."""
+        idxs_to_eval = where(pop, lambda ind: len(ind.fitness) == 0)
+        individuals_to_eval = [pop[idx] for idx in idxs_to_eval]
+        if self._pm:
+            evaluated_individuals = self._pm.exec_parallel(
+                func=self.eval_objectives,
+                arguments=[(ind, self.objectives) for ind in individuals_to_eval],
+                use=True,
+                flatten=False,
+            )
+            for idx, evaluated_ind in zip(idxs_to_eval, evaluated_individuals):
+                pop[idx] = evaluated_ind
+        else:
+            for idx in where(pop, lambda ind: len(ind.fitness) == 0):
+                pop[idx] = self.eval_objectives(pop[idx], self.objectives)
+
+        return sorted(pop, key=lambda x: x.fitness)
+
+    def eval_objectives(self, ind: Structure, objectives) -> Structure:
+        """Evaluates objectives."""
+        ind.fitness = [obj(ind) for obj in objectives]
+        return ind
diff --git a/gefest/core/opt/objective/tuner_objective.py b/gefest/core/opt/objective/tuner_objective.py
new file mode 100644
index 000000000..2176553ed
--- /dev/null
+++ b/gefest/core/opt/objective/tuner_objective.py
@@ -0,0 +1,39 @@
+from typing import Any, Callable, Dict, Optional, Union
+
+from golem.core.dag.graph import Graph
+from golem.core.optimisers.fitness import Fitness, MultiObjFitness, SingleObjFitness
+from golem.core.optimisers.objective.objective import Objective as GolemObjective
+
+from gefest.core.opt.adapters.structure import StructureAdapter
+
+
+class GolemObjectiveWithPreValidation(GolemObjective):
+    """GOLEM objective with GEFEST validation filtering."""
+
+    def __init__(
+        self,
+        quality_metrics: Union[Callable, Dict[Any, Callable]],
+        validator: Callable,
+        adapter: StructureAdapter,
+        complexity_metrics: Optional[Dict[Any, Callable]] = None,
+        is_multi_objective: bool = False,
+    ) -> None:
+        super().__init__(quality_metrics, complexity_metrics, is_multi_objective)
+        self.validator = validator
+        self.adapter = adapter
+
+    def __call__(self, graph: Graph, **metrics_kwargs: Any) -> Fitness:
+        """Evaluates objective for GOLEM graph representtion of GEFEST structure.
+
+        If structure invalid, fintes will be set to high value.
+        This class allows filter out invalid variants on tuning.
+
+        """
+        if self.validator(self.adapter.restore(graph)):
+            res = super().__call__(graph, **metrics_kwargs)
+            return res
+        else:
+            if self.is_multi_objective:
+                return MultiObjFitness(values=[1.0e42] * len(self.quality_metrics), weights=1.0)
+            else:
+                return SingleObjFitness(1.0e42)
diff --git a/gefest/core/opt/objectives.py b/gefest/core/opt/objectives.py
deleted file mode 100644
index bb024d650..000000000
--- a/gefest/core/opt/objectives.py
+++ /dev/null
@@ -1,18 +0,0 @@
-from typing import List
-
-from gefest.core.opt.analytics import EvoAnalytics
-from gefest.core.opt.individual import Individual
-
-
-def calculate_objectives(population: List[Individual], model_func):
-    for ind_id, ind in enumerate(population):
-        structure = ind.genotype
-        objective = model_func(structure)
-        ind.objectives = [objective]
-        ind.analytics_objectives = [objective]
-        idx = ind_id
-        EvoAnalytics.save_cantidate(ind.population_number,
-                                    ind.objectives,
-                                    ind.analytics_objectives,
-                                    ind.genotype,
-                                    'common_dataset', idx)
diff --git a/gefest/core/opt/operators/crossover.py b/gefest/core/opt/operators/crossover.py
deleted file mode 100644
index fe1798f61..000000000
--- a/gefest/core/opt/operators/crossover.py
+++ /dev/null
@@ -1,84 +0,0 @@
-import copy
-import random
-from multiprocessing import Pool
-
-from gefest.core.algs.postproc.resolve_errors import postprocess
-from gefest.core.opt.constraints import check_constraints
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Structure
-
-MAX_ITER = 50000
-NUM_PROC = 1
-
-
-def crossover_worker(args):
-    """
-    One point crossover between two selected structures
-    Polygons are exchanged between structures
-    """
-
-    s1, s2, domain = args[0], args[1], args[2]
-
-    new_structure = copy.deepcopy(s1)
-
-    crossover_point = random.randint(1, len(new_structure.polygons) + 1)  # Choosing crossover point randomly
-
-    # Crossover conversion
-    part_1 = s1.polygons[0:crossover_point]
-    if not isinstance(part_1, list):
-        part_1 = [part_1]
-    part_2 = s2.polygons[crossover_point:len(s1.polygons)]
-    if not isinstance(part_2, list):
-        part_2 = [part_2]
-
-    result = copy.deepcopy(part_1)
-    result.extend(copy.deepcopy(part_2))
-
-    new_structure.polygons = result
-
-    # Postprocessing for new structure
-    new_structure = postprocess(new_structure, domain)
-    constraints = check_constraints(structure=new_structure, domain=domain)
-    max_attempts = 3  # Number of postprocessing attempts
-    while not constraints:
-        new_structure = postprocess(new_structure, domain)
-        constraints = check_constraints(structure=new_structure, domain=domain)
-        max_attempts -= 1
-        if max_attempts == 0:
-            # If the number of attempts is over,
-            # the transformation is considered unsuccessful
-            # and one of the structures is returned
-            return s1
-    return new_structure
-
-
-def crossover(s1: Structure, s2: Structure, domain: Domain, rate=0.4):
-    random_val = random.random()
-    if random_val >= rate or len(s1.polygons) == 1 or len(s2.polygons) == 1:
-        # In the case when the structures consist of only one polygon,
-        # the transformation is not performed
-        if random.random() > 0.5:
-            return s1
-        else:
-            return s2
-    elif len(s1.polygons) == 0:
-        return s2
-    elif len(s2.polygons) == 0:
-        return s1
-
-    new_structure = s2
-
-    if NUM_PROC > 1:
-        # Calculations on different processor cores
-        with Pool(NUM_PROC) as p:
-            new_items = p.map(crossover_worker,
-                              [[s1, s2, domain] for _ in range(NUM_PROC)])
-    else:
-        new_items = [crossover_worker([s1, s2, domain]) for _ in range(NUM_PROC)]
-
-    for structure in new_items:
-        if structure is not None:
-            new_structure = structure
-            break
-
-    return new_structure
diff --git a/gefest/core/opt/operators/crossovers.py b/gefest/core/opt/operators/crossovers.py
new file mode 100644
index 000000000..6f8403ac1
--- /dev/null
+++ b/gefest/core/opt/operators/crossovers.py
@@ -0,0 +1,152 @@
+import copy
+import random
+from enum import Enum
+from functools import partial
+from itertools import product
+from typing import Callable
+
+import numpy as np
+from loguru import logger
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.utils import where
+
+
+def crossover_structures(
+    structure1: Structure,
+    structure2: Structure,
+    domain: Domain,
+    operations: list[Callable],
+    operation_chance: float,
+    operations_probs: list[int],
+    **kwargs,
+) -> tuple[Structure]:
+    """Applys random crossover from given list for pair of structures.
+
+    Args:
+        structure1 (Structure): First parent.
+        structure1 (Structure): Second parent.
+        domain (Domain): Task domain.
+        operations (list[Callable]): List of crossovers operations to choose.
+        operation_chance (float): Chance of crossover.
+        operations_probs (list[int]): Probablilites of each crossover operation.
+
+    Returns:
+        tuple[Structure]: Сhildren.
+    """
+    s1, s2 = copy.deepcopy(structure1), copy.deepcopy(structure2)
+    chosen_crossover = np.random.choice(
+        a=operations,
+        size=1,
+        p=operations_probs,
+    )
+    new_structure = chosen_crossover[0](s1, s2, domain)
+    if not new_structure:
+        logger.warning(f'None out: {chosen_crossover[0].__name__}')
+
+    return new_structure
+
+
+# pairs for crossover selection
+def panmixis(pop: list[Structure]) -> list[tuple[Structure, Structure]]:
+    """Default pair selection strategy."""
+    np.random.shuffle(list(pop))
+    return [(pop[idx], pop[idx + 1]) for idx in range(len(pop) - 1)]
+
+
+# best indivisual selection
+def structure_level_crossover(
+    s1: Structure,
+    s2: Structure,
+    domain: Domain,
+    **kwargs,
+):
+    """Exchanges points of two polygons."""
+    s1, s2 = copy.deepcopy(s1), copy.deepcopy(s2)
+    polygons1 = s1.polygons
+    polygons2 = s2.polygons
+    crossover_point = np.random.randint(
+        0,
+        len(polygons1) + 1,
+    )
+
+    # Crossover conversion
+    part_1 = polygons1[0:crossover_point]
+    if not isinstance(part_1, tuple):
+        part_1 = part_1
+
+    part_2 = polygons2[crossover_point : len(s1.polygons)]
+    if not isinstance(part_2, tuple):
+        part_2 = part_2
+
+    result = list(copy.deepcopy(part_1))
+    result.extend(copy.deepcopy(part_2))
+
+    new_structure = Structure(polygons=result)
+
+    return (new_structure,)
+
+
+def polygon_level_crossover(
+    s1: Structure,
+    s2: Structure,
+    domain: Domain,
+    **kwargs,
+):
+    """Exchanges points of two nearest polygons in structure."""
+    geom = domain.geometry
+    s1, s2 = copy.deepcopy(s1), copy.deepcopy(s2)
+    intersected = False
+    split_angle = 0
+    pairs_dists = [
+        (p, geom.min_distance(p[0], p[1]))
+        for p in list(product(s1, s2))
+        if (p[0] is not p[1] and len(p[0]) != 0 and len(p[1]) != 0)
+    ]
+    intersects_ids = where(pairs_dists, lambda p_d: p_d[1] == 0)
+    if len(intersects_ids) > 0:
+        intersected = True
+        pairs_dists = [p_d for idx_, p_d in enumerate(pairs_dists) if idx_ in intersects_ids]
+        pairs_dists = [
+            (p[0], geom.min_distance(geom.get_centroid(p[0][0]), geom.get_centroid(p[0][1])))
+            for p in pairs_dists
+        ]
+
+    pairs_dists = sorted(pairs_dists, key=lambda p_d: p_d[1])
+    if len(pairs_dists) == 0:
+        return (s1,)
+
+    poly_1 = pairs_dists[0][0][0]
+    poly_2 = pairs_dists[0][0][1]
+    if intersected:
+        # now not adaptive angle #
+        split_angle = (np.random.rand() * 2 - 1) * (70)
+    elif pairs_dists[0][1] > domain.dist_between_polygons:
+        return (s1,)
+
+    c1, c2 = geom.get_centroid(poly_1), geom.get_centroid(poly_2)
+    vector1 = geom.rotate_point(point=c2, origin=c1, angle=split_angle)
+    vector2 = geom.rotate_point(point=c1, origin=c2, angle=split_angle)
+    scale_factor = max(domain.max_x, domain.max_y)
+    parts_1 = geom.split_polygon(poly_1, [c1, vector1], scale_factor)
+    parts_2 = geom.split_polygon(poly_2, [c2, vector2], scale_factor)
+    if len(parts_1) < 2 or len(parts_2) < 2:
+        return (s1,)
+
+    new_parts = (*parts_1[0], *parts_2[1]) if c1.y > c2.y else (*parts_1[1], *parts_2[0])
+    new_poly = geom.get_convex(Polygon(points=[Point(*p) for p in list(set(new_parts))]))
+    if len(new_poly) > domain.max_points_num:
+        random_elements = random.choice(new_poly.points)
+        new_poly.points = list(filter(lambda x: x != random_elements, new_poly.points))
+
+    idx_ = where(s1.polygons, lambda p: p == poly_1)[0]
+    s1[idx_] = new_poly
+    return (s1,)
+
+
+class CrossoverTypes(Enum):
+    """Enumerates all crossover functions."""
+
+    structure_level = partial(structure_level_crossover)
+    polygon_level = partial(polygon_level_crossover)
diff --git a/gefest/core/opt/operators/multiobjective_selections.py b/gefest/core/opt/operators/multiobjective_selections.py
new file mode 100644
index 000000000..33173e253
--- /dev/null
+++ b/gefest/core/opt/operators/multiobjective_selections.py
@@ -0,0 +1,227 @@
+from enum import Enum
+
+import numpy as np
+from scipy.spatial.distance import cdist
+
+from gefest.core.geometry.datastructs.structure import Structure
+
+
+class SPEA2:
+    """SPEA2 selection strategy."""
+
+    def __init__(self, single_demention_selection, init_pop, steps, **kwargs):
+        self.steps = steps
+        self.step_cntr = 0
+        self.arch_size = int(len(init_pop) / 2)  # Archive size
+        self.archive = []  # Archive population
+        self.n_criteria = 2  # Number of criteria
+        self.single_demention_selection = single_demention_selection
+
+    def __call__(self, pop, pop_size, *args, **kwargs) -> None:
+        """Calulates SPEA2 fitness function."""
+        pop = pop + self.archive
+        raw = self.raw(pop)
+        density = self.density(pop)
+        for idx, _ in enumerate(pop):
+            pop[idx].extra_characteristics['SEPA2_fitness'] = raw[idx] + density[idx]
+
+        if self.step_cntr == self.steps:
+            pop = self.archive
+        else:
+            pop = self.single_demention_selection(pop, pop_size)
+
+        self.step_cntr += 1
+        return pop
+
+    def dominate(self, ind1: Structure, ind2: Structure) -> bool:
+        """Checks if one indivdial not worse than other by all fitness components.
+
+        Args:
+            idx_1 (int): Index of first individual.
+            idx_2 (int): Index of second individual.
+
+        Returns:
+        bool: True if self._pop[idx_1] dominate self._pop[idx_2] else False
+        """
+        return all(
+            ind1 <= ind2
+            for ind1, ind2 in zip(
+                ind1.fitness,
+                ind2.fitness,
+            )
+        )
+
+    def strength(self, pop) -> list[int]:
+        """Calculates strength for each individ in pop and arch.
+
+        Returns:
+            list[int]: strength of each individ
+        """
+        strength = []
+
+        for i in range(len(pop)):
+            count = 0
+            for j in range(len(pop)):
+                if j == i:
+                    continue
+
+                if self.dominate(pop[i], pop[j]):
+                    count += 1
+
+            strength.append(count)
+
+        return strength
+
+    def raw(self, pop) -> list[int]:
+        """Calculates raw for pop and arch.
+
+        Returns:
+            list[int]: Raw of each individ.
+        """
+        raw = []
+        strength = self.strength(pop)
+
+        for i in range(len(pop)):
+            count = 0
+            for j in range(len(pop)):
+                if j == i:
+                    continue
+
+                if self.dominate(pop[j], pop[i]):
+                    count += strength[j]
+
+            raw.append(count)
+
+        return raw
+
+    def density(self, pop) -> list[float]:
+        """Calculates density.
+
+        Returns:
+            list[float]: Density of each individ in pop and arch.
+        """
+        density = []
+        k = 0
+
+        for i in range(len(pop)):
+            distance = []
+            first_point = np.array(pop[i].fitness)
+            for j in range(len(pop)):
+                if j == i:
+                    continue
+
+                second_point = np.array(pop[j].fitness)
+                distance.append(np.linalg.norm(first_point - second_point))
+
+            sorted_dist = np.sort(distance)
+            density.append(1 / (sorted_dist[k] + 2))
+
+        return density
+
+    def environmental_selection(self, pop) -> None:
+        """Updates archive population via environmental selection procedure."""
+        self.archive = [ind for ind in pop if ind.extra_characteristics['SEPA2_fitness'] < 1]
+
+        # First case, adding remaining best individs
+        if len(self.archive) < self.arch_size:
+            sorted_pop = sorted(pop, key=lambda x: x.extra_characteristics['SEPA2_fitness'])
+            idx = 0
+            while len(self.archive) != self.arch_size:
+                if sorted_pop[idx].extra_characteristics['SEPA2_fitness'] >= 1:
+                    self.archive.append(sorted_pop[idx])
+
+                idx += 1
+
+        # Second case, deleting using truncation procedure
+        elif len(self.archive) > self.arch_size:
+            self.archive = sorted(
+                self._pop,
+                key=lambda x: x.extra_characteristics['SEPA2_fitness'],
+            )[: self.arch_size]
+
+
+class MOEAD:
+    """MOEA/D selection strategy.
+
+    For details see: https://ieeexplore.ieee.org/document/4358754?arnumber=4358754
+    """
+
+    def __init__(self, single_demention_selection, init_pop, moead_n_neighbors, *args, **kwargs):
+        self.ref_dirs, self.ideal, self.neighbors = self._setup(init_pop, moead_n_neighbors)
+        self.single_demention_selection = single_demention_selection
+
+    def __call__(self, pop, pop_size, **kwargs):
+        """Selects best individuals."""
+        pop = self._set_moead_fitness(pop)
+        selected = self.single_demention_selection(pop, pop_size)
+        return selected
+
+    def _setup(self, pop, n_neighbors=2):
+        ref_dirs = self._get_uniform_weight(pop, len(pop[0].fitness))
+        ideal = np.min([ind.fitness for ind in pop], axis=0)
+        neighbors = np.argsort(cdist(ref_dirs, ref_dirs), axis=1, kind='quicksort')[
+            :,
+            :n_neighbors,
+        ]
+        return ref_dirs, ideal, neighbors
+
+    def _set_moead_fitness(self, pop):
+        for j, ind in enumerate(pop):
+            max_fun = -1.0e30
+            for n in range(len(ind.fitness)):
+                diff = abs(ind.fitness[n] - self.ideal[n])
+                if self.ref_dirs[j][n] == 0:
+                    feval = 0.0001 * diff
+                else:
+                    feval = diff * self.ref_dirs[j][n]
+
+                if feval > max_fun:
+                    max_fun = feval
+
+            ind.fitness = [max_fun + len(self.neighbors[j])]
+
+        return pop
+
+    def _get_uniform_weight(self, pop, n_obj):
+        """Sets precomputed weights.
+
+        Precomputed weights from
+        Zhang, Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
+        """
+        assert n_obj == 2 or n_obj == 3, 'MOEAD can handle only 2 or 3 objectives problems'
+        m = len(pop)
+        if n_obj == 2:
+            ref_dirs = [[None for _ in range(n_obj)] for i in range(m)]
+            for n in range(m):
+                a = 1.0 * float(n) / (m - 1)
+                ref_dirs[n][0] = a
+                ref_dirs[n][1] = 1 - a
+        elif n_obj == 3:
+            """
+            Ported from Java code written by Wudong Liu
+                    (Source: http://dces.essex.ac.uk/staff/qzhang/moead/moead-java-source.zip)
+            """
+            m = len(pop)
+
+            ref_dirs = []
+            for i in range(m):
+                for j in range(m):
+                    if i + j <= m:
+                        k = m - i - j
+                        weight_scalars = [None] * 3
+                        weight_scalars[0] = float(i) / (m)
+                        weight_scalars[1] = float(j) / (m)
+                        weight_scalars[2] = float(k) / (m)
+                        ref_dirs.append(weight_scalars)
+            # Trim number of weights to fit population size
+            ref_dirs = sorted((x for x in ref_dirs), key=lambda x: sum(x), reverse=True)
+            ref_dirs = ref_dirs[:m]
+
+        return ref_dirs
+
+
+class MultiObjectiveSelectionTypes(Enum):
+    """Enumerates all GEFEST multi objective selectors."""
+
+    moead = MOEAD
+    spea2 = SPEA2
diff --git a/gefest/core/opt/operators/mutation.py b/gefest/core/opt/operators/mutation.py
deleted file mode 100644
index 9dded8fd7..000000000
--- a/gefest/core/opt/operators/mutation.py
+++ /dev/null
@@ -1,230 +0,0 @@
-import copy
-import random
-from copy import deepcopy
-from multiprocessing import Pool
-
-import numpy as np
-
-from gefest.core.algs.postproc.resolve_errors import postprocess
-from gefest.core.opt.constraints import check_constraints
-from gefest.tools.samplers.standard.standard import MAX_ITER, NUM_PROC, StandardSampler
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Structure, get_random_poly, get_random_point
-from gefest.core.structure.point import Point
-
-
-def mutation(structure: Structure, domain: Domain, rate=0.6) -> Structure:
-    """We divide mutations into two types: points mutations and polygons mutations
-    Points mutation: add/delete points, change position
-    Polygon mutation: add/delete polygon, rotate, resize
-    Args:
-        structure: the given generative :obj:`Structure`
-        domain: the :obj:`Domain` that use for optimization process
-        rate: likelihood for success mutation. Defaults to 0.6.
-    Returns:
-        if mutation was finished succsess - new structure, born from :obj:`structure`
-        and with mutated individuals inside; otherwise will return the given :obj:`structure`
-    """
-
-    random_val = random.random()
-
-    if random_val > rate:
-        return structure
-
-    is_correct = False
-
-    changes_num = len(structure.polygons)
-
-    n_iter = 0
-
-    new_structure = structure
-
-    while not is_correct and n_iter < MAX_ITER:
-        n_iter += 1
-
-        if NUM_PROC > 1:
-            with Pool(NUM_PROC) as p:
-                new_items = \
-                    p.map(mutate_worker,
-                          [[new_structure, changes_num, domain] for _ in range(NUM_PROC)])
-        else:
-            new_items = [mutate_worker([new_structure, changes_num, domain]) for _ in range(NUM_PROC)]
-
-        for structure in new_items:
-            if structure is not None:
-                new_structure = structure
-                is_correct = True
-                break
-            elif structure is None:
-                # if the mutation did not return anything,
-                # then it is considered unsuccessful,
-                # in which case a random structure is generated
-                new_structure = StandardSampler().get_pop_worker(domain=domain)
-                is_correct = True
-                break
-    return new_structure
-
-
-def polygons_mutation(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    mutation_way = [drop_poly, add_poly, rotate_poly, resize_poly]
-    choosen_way = random.choice(mutation_way)
-    new_structure = choosen_way(new_structure, polygon_to_mutate_idx, domain)
-
-    return new_structure
-
-
-def drop_poly(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    polygon_to_remove = new_structure.polygons[polygon_to_mutate_idx]
-    new_structure.polygons.remove(polygon_to_remove)
-    return new_structure
-
-
-def add_poly(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    new_poly = get_random_poly(new_structure, domain)
-    if new_poly is not None:
-        new_structure.polygons.append(new_poly)
-    return new_structure
-
-
-def rotate_poly(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    angle = float(random.randint(-120, 120))
-    new_structure.polygons[polygon_to_mutate_idx] = domain.geometry.rotate_poly(
-        new_structure.polygons[polygon_to_mutate_idx], angle)
-    return new_structure
-
-
-def resize_poly(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    new_structure.polygons[polygon_to_mutate_idx] = domain.geometry.resize_poly(
-        new_structure.polygons[polygon_to_mutate_idx],
-        x_scale=np.random.uniform(0.25, 3, 1)[0],
-        y_scale=np.random.uniform(0.25, 3, 1)[0])
-    return new_structure
-
-
-def add_delete_point_mutation(new_structure: Structure, polygon_to_mutate_idx, mutate_point_idx, domain) -> Structure:
-    # Weight for add and delete point
-    point_drop_mutation_prob = 0.5
-    point_add_mutation_prob = 0.5
-
-    # Choosing polygon and point to mutate
-    polygon_to_mutate = new_structure.polygons[polygon_to_mutate_idx]
-    point_to_mutate = polygon_to_mutate.points[mutate_point_idx]
-
-    if (random.random() < point_drop_mutation_prob and
-            len(polygon_to_mutate.points) > domain.min_points_num):
-        # if drop point from polygon
-        new_structure.polygons[polygon_to_mutate_idx].points.remove(point_to_mutate)
-    else:
-        # if add point to polygon
-        new_point = get_random_point(polygon_to_mutate,
-                                     new_structure,
-                                     domain)
-
-        if new_point is None:
-            return None
-
-        if random.random() < point_add_mutation_prob:
-            if mutate_point_idx + 1 < len(polygon_to_mutate.points):
-                new_structure.polygons[polygon_to_mutate_idx].points.insert(mutate_point_idx + 1, new_point)
-            else:
-                new_structure.polygons[polygon_to_mutate_idx].points.insert(mutate_point_idx - 1, new_point)
-        else:
-            new_structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx] = new_point
-
-    return new_structure
-
-
-def pos_change_point_mutation(new_structure: Structure, polygon_to_mutate_idx, mutate_point_idx, domain) -> Structure:
-    # Neighborhood to reposition
-    eps_x = round(domain.len_x / 10)
-    eps_y = round(domain.len_y / 10)
-
-    structure = copy.deepcopy(new_structure)
-
-    # Displacement in the neighborhood
-    displacement_x = random.randint(-eps_x, eps_x)
-    displacement_y = random.randint(-eps_y, eps_y)
-
-    x_new = structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].x + displacement_x
-    y_new = structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].y + displacement_y
-
-    i = 20  # Number of attempts to change the position of the point
-    while not domain.contains(Point(x_new, y_new)):
-        x_new = structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].x + displacement_x
-        y_new = structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].y + displacement_y
-        i -= 1
-        if i == 0:
-            # If number of attempts is over,
-            # then transformation is unsuccessful
-            # and returns input stucture
-            return new_structure
-
-    structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].x = x_new
-    structure.polygons[polygon_to_mutate_idx].points[mutate_point_idx].y = y_new
-
-    return structure
-
-
-def points_mutation(new_structure: Structure, polygon_to_mutate_idx, domain: Domain) -> Structure:
-    # Choosing type of points mutation, polygon to mutate and point to mutate
-
-    polygon_to_mutate = new_structure.polygons[polygon_to_mutate_idx]
-
-    mutate_point_idx = random.randint(0, len(polygon_to_mutate.points) - 1)
-    point_to_mutate = polygon_to_mutate.points[mutate_point_idx]
-    if point_to_mutate in domain.fixed_points:
-        return None
-
-    case = random.randint(0, 1)
-    if case == 0:
-        new_structure = add_delete_point_mutation(new_structure, polygon_to_mutate_idx, mutate_point_idx, domain)
-    else:
-        new_structure = pos_change_point_mutation(new_structure, polygon_to_mutate_idx, mutate_point_idx, domain)
-
-    return new_structure
-
-
-def mutate_worker(args):
-    structure, changes_num, domain = args[0], args[1], args[2]
-    polygon_mutation_probab = 0.5
-
-    try:
-        new_structure = copy.deepcopy(structure)
-
-        for _ in range(changes_num):
-            polygon_to_mutate_idx = random.randint(0, len(new_structure.polygons) - 1)
-            case = random.random()
-
-            if case < polygon_mutation_probab:
-                new_structure = polygons_mutation(new_structure, polygon_to_mutate_idx, domain)
-            else:
-                new_structure = points_mutation(new_structure, polygon_to_mutate_idx, domain)
-
-            if new_structure is None:
-                continue
-
-            for fixed in domain.fixed_points:
-                if fixed not in new_structure.polygons:
-                    # If fixed points were removed from the structure after the mutation,
-                    # they must be added back
-                    if not (fixed.points == [p.points for p in new_structure.polygons]):
-                        new_structure.polygons.append(deepcopy(fixed))
-
-        new_structure = postprocess(new_structure, domain)
-        constraints = check_constraints(structure=new_structure, domain=domain)
-        max_attempts = 3  # Number of attempts to postprocess mutated structures
-        while not constraints:
-            new_structure = postprocess(new_structure, domain)
-            constraints = check_constraints(structure=new_structure, domain=domain)
-            max_attempts -= 1
-            if max_attempts == 0:
-                # If attempts is over,
-                # mutation is considered like unsuccessful
-                return None
-
-        return new_structure
-    except Exception as ex:
-        print(f'Mutation error: {ex}')
-        import traceback
-        print(traceback.format_exc())
-        return None
diff --git a/gefest/core/opt/operators/mutations.py b/gefest/core/opt/operators/mutations.py
new file mode 100644
index 000000000..52d0966ed
--- /dev/null
+++ b/gefest/core/opt/operators/mutations.py
@@ -0,0 +1,273 @@
+import copy
+from enum import Enum
+from functools import partial
+from typing import Callable
+
+import numpy as np
+from loguru import logger
+from shapely.geometry import LineString
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.geometry.utils import (
+    get_convex_safe_area,
+    get_random_poly,
+    get_selfintersection_safe_point,
+)
+
+
+def mutate_structure(
+    structure: Structure,
+    domain: Domain,
+    operations: list[Callable],
+    operation_chance: float,
+    operations_probs: list[float],
+    **kwargs,
+) -> Structure:
+    """Applys random mutation from given list for each polygon in structure.
+
+    Args:
+        structure (Structure): Structure to mutate.
+        domain (Domain): Task domain.
+        mutations (list[Callable]): List of mutation operations to choose.
+        mutation_chance (float): Chance to mutate polygon.
+        mutations_probs (list[int]): Probablilites of each mutation operation.
+
+    Returns:
+        Structure: Mutated structure. It is not guaranteed
+            that the resulting structure will be valid or changed.
+    """
+    new_structure = copy.deepcopy(structure)
+
+    for _ in enumerate(range(len(new_structure))):
+        idx_ = np.random.randint(0, len(new_structure))
+        if np.random.random() < operation_chance:
+            chosen_mutation = np.random.choice(
+                a=operations,
+                size=1,
+                p=operations_probs,
+            )
+            new_structure = chosen_mutation[0](new_structure, domain, idx_)
+            if not new_structure:
+                logger.warning(f'None out: {chosen_mutation[0].__name__}')
+
+    return new_structure
+
+
+@logger.catch
+def rotate_poly_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+) -> Structure:
+    """Rotares polygon for random angle."""
+    angle = float(np.random.randint(-120, 120))
+    new_structure[idx_] = domain.geometry.rotate_poly(
+        new_structure[idx_],
+        angle,
+    )
+    return new_structure
+
+
+@logger.catch
+def drop_poly_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+) -> Structure:
+    """Drops random polygon from structure."""
+    if len(new_structure.polygons) > (domain.min_poly_num + 1):
+        idx_ = idx_ if idx_ else int(np.random.randint(0, len(new_structure)))
+        polygon_to_remove = new_structure.polygons[idx_]
+        if not any(p in polygon_to_remove for p in domain.fixed_points):
+            new_structure.remove(polygon_to_remove)
+
+    return new_structure
+
+
+@logger.catch
+def add_poly_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+) -> Structure:
+    """Adds random polygon into structure using standard generator."""
+    if len(new_structure) < (domain.max_poly_num - 1):
+        new_poly = get_random_poly(new_structure, domain)
+        if new_poly is not None:
+            new_structure.append(new_poly)
+
+    return new_structure
+
+
+@logger.catch
+def resize_poly_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+) -> Structure:
+    """Randomly resizes polygon."""
+    new_structure[idx_] = domain.geometry.resize_poly(
+        new_structure[idx_],
+        x_scale=np.random.uniform(0.25, 3, 1)[0],
+        y_scale=np.random.uniform(0.25, 3, 1)[0],
+    )
+    return new_structure
+
+
+@logger.catch
+def pos_change_point_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+) -> Structure:
+    """Moves a random point without violating the geometry type specified in the domain."""
+    geom = domain.geometry
+    poly = copy.deepcopy(new_structure[idx_])
+    if poly[0] == poly[-1]:
+        poly = poly[:-1]
+
+    mutate_point_idx = int(np.random.randint(0, len(poly)))
+    new_point = None
+    if not geom.is_convex or (len(poly) in (2, 3)):
+        new_point, _ = get_selfintersection_safe_point(
+            poly,
+            domain,
+            mutate_point_idx - 1,
+            mutate_point_idx + 1,
+        )
+
+    elif geom.is_convex:
+        poly = geom.get_convex(poly=poly)[:-1]
+        movment_area = get_convex_safe_area(
+            poly,
+            domain,
+            mutate_point_idx - 1,
+            mutate_point_idx + 1,
+            new_structure,
+            idx_,
+        )
+
+        if movment_area:
+            if not movment_area:
+                return new_structure
+            else:
+                new_point = geom.get_random_point_in_poly(movment_area)
+
+    else:
+        logger.warning('Strange case')
+
+    if new_point:
+        poly[mutate_point_idx % len(poly)] = new_point
+
+    if geom.is_closed:
+        poly.points.append(poly[0])
+
+    new_structure[idx_] = poly
+    return new_structure
+
+
+@logger.catch
+def add_point_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+):
+    """Adds a random point without violating the geometry type specified in the domain."""
+    geom = domain.geometry
+    poly = copy.deepcopy(new_structure[idx_])
+
+    if poly[0] == poly[-1]:
+        poly = poly[:-1]
+
+    mutate_point_idx = int(np.random.randint(0, len(poly)))
+    new_point = None
+    if not geom.is_convex or len(poly) == 3:
+        new_point, _ = get_selfintersection_safe_point(
+            poly,
+            domain,
+            mutate_point_idx,
+            mutate_point_idx + 1,
+        )
+
+    elif geom.is_convex:
+        poly = geom.get_convex(poly=poly)[:-1]
+        movment_area = get_convex_safe_area(
+            poly,
+            domain,
+            mutate_point_idx,
+            mutate_point_idx + 1,
+            new_structure,
+            idx_,
+        )
+
+        if movment_area:
+            if not movment_area:
+                return new_structure
+            else:
+                new_point = geom.get_random_point_in_poly(movment_area)
+
+    else:
+        logger.warning('Strange case')
+
+    if new_point:
+        poly.points.insert(
+            (mutate_point_idx + 1) % len(poly),
+            new_point,
+        )
+
+    if geom.is_closed:
+        poly.points.append(poly[0])
+
+    new_structure[idx_] = poly
+    return new_structure
+
+
+@logger.catch
+def drop_point_mutation(
+    new_structure: Structure,
+    domain: Domain,
+    idx_: int = None,
+    **kwargs,
+):
+    """Drops random point from polygon."""
+    polygon_to_mutate = new_structure[idx_]
+    if domain.geometry.is_closed:
+        if polygon_to_mutate[0] == polygon_to_mutate[-1]:
+            polygon_to_mutate = polygon_to_mutate[:-1]
+
+    mutate_point_idx = int(np.random.randint(0, len(polygon_to_mutate)))
+    point_to_mutate = polygon_to_mutate[mutate_point_idx]
+
+    if len(polygon_to_mutate) > domain.min_points_num:
+        if domain.geometry.is_closed or idx_ == 0 or idx_ == (len(polygon_to_mutate) - 1):
+            polygon_to_mutate.points.remove(point_to_mutate)
+        else:
+            new_poly = [
+                polygon_to_mutate[idx]
+                for idx in range(len(polygon_to_mutate))
+                if idx != mutate_point_idx
+            ]
+            if LineString([(p.x, p.y) for p in new_poly]).is_simple:
+                polygon_to_mutate.points.remove(point_to_mutate)
+
+    new_structure[idx_] = polygon_to_mutate
+    return new_structure
+
+
+class MutationTypes(Enum):
+    """enumerates all mutation functions."""
+
+    rotate_poly = partial(rotate_poly_mutation)
+    resize_poly = partial(resize_poly_mutation)
+    add_point = partial(add_point_mutation)
+    drop_point = partial(drop_point_mutation)
+    add_poly = partial(add_poly_mutation)
+    drop_poly = partial(drop_poly_mutation)
+    pos_change_point = partial(pos_change_point_mutation)
diff --git a/gefest/core/opt/operators/operators.py b/gefest/core/opt/operators/operators.py
deleted file mode 100644
index 5792ab354..000000000
--- a/gefest/core/opt/operators/operators.py
+++ /dev/null
@@ -1,17 +0,0 @@
-from gefest.core.opt.operators.mutation import mutation
-from gefest.core.opt.operators.crossover import crossover
-from gefest.core.opt.operators.sensitivity_methods import sa_mutation
-
-
-class EvoOperators:
-    def __init__(self, crossover, mutation):
-        self.crossover = crossover
-        self.mutation = mutation
-
-
-def default_operators():
-    return EvoOperators(crossover=crossover, mutation=mutation)
-
-
-def sensitivity_operators():
-    return EvoOperators(crossover=crossover, mutation=sa_mutation)
diff --git a/gefest/core/opt/operators/selections.py b/gefest/core/opt/operators/selections.py
new file mode 100644
index 000000000..dab0d0d66
--- /dev/null
+++ b/gefest/core/opt/operators/selections.py
@@ -0,0 +1,78 @@
+import math
+from enum import Enum
+from functools import partial
+from random import randint
+
+import numpy as np
+
+from gefest.core.geometry import Structure
+
+
+def roulette_selection(
+    pop: list[Structure],
+    pop_size: int,
+    **kwargs,
+) -> list[Structure]:
+    """Selects the best ones from provided population.
+
+    Args:
+        pop (list[Structure]): population
+        pop_size (int): population size limit
+
+    Returns:
+        list[Structure]: best individuals from pop
+    """
+    _fitness = [i.fitness[0] for i in pop]
+    probability = [(i / (sum(_fitness))) for i in _fitness]
+    probability = [(max(probability) / i) for i in probability]
+    probability = [i / sum(probability) for i in probability]
+
+    chosen = []
+
+    while len(chosen) < pop_size:
+        chosen.append(pop[np.random.choice(a=range(len(pop)), p=probability)])
+
+    return chosen
+
+
+def tournament_selection(
+    pop: list[Structure],
+    pop_size: int,
+    fraction: float = 0.1,
+    **kwargs,
+) -> list[Structure]:
+    """Selects the best ones from provided population.
+
+    Args:
+        pop (list[Structure]): population
+        pop_size (int): population size limit
+        fraction (float, optional): best part size. Defaults to 0.1.
+
+    Returns:
+        list[Structure]: The best individuals from given population.
+            Their number is equal to ``'initial_number' * fraction``
+    """
+    group_size = math.ceil(len(pop) * fraction)
+    min_group_size = 2 if len(pop) > 1 else 1
+    group_size = max(group_size, min_group_size)
+    chosen = []
+    n_iter = 0
+    while len(chosen) < pop_size:
+        n_iter += 1
+        group = [pop[randint(0, len(pop) - 1)] for _ in range(group_size)]
+        best = min(group, key=lambda ind: ind.fitness)
+        if best not in chosen:
+            chosen.append(best)
+        elif n_iter > pop_size + 100:
+            n_iter = 0
+            rnd = pop[randint(0, len(pop) - 1)]
+            chosen.append(rnd)
+
+    return chosen
+
+
+class SelectionTypes(Enum):
+    """Enumerates all GEFEST selection functions."""
+
+    roulette_selection = partial(roulette_selection)
+    tournament_selection = partial(tournament_selection)
diff --git a/gefest/core/opt/operators/sensitivity_methods.py b/gefest/core/opt/operators/sensitivity_methods.py
deleted file mode 100644
index ce4f5f138..000000000
--- a/gefest/core/opt/operators/sensitivity_methods.py
+++ /dev/null
@@ -1,177 +0,0 @@
-from copy import deepcopy
-import random
-from multiprocessing import Pool
-import traceback
-
-from gefest.core.algs.postproc.resolve_errors import postprocess
-from gefest.core.opt.constraints import check_constraints
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Structure
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.point import Point
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.structure.structure import get_structure_from_path
-from gefest.tools.samplers.sens_analysis.sens_sampler import SensitivitySampler
-from cases.main_conf import opt_params
-
-MAX_ITER = 50000
-NUM_PROC = 1
-
-geometry = Geometry2D()
-
-
-def sa_mutation(structure: Structure, domain: Domain, rate=0.6) -> Structure:
-    random_val = random.random()
-
-    if random_val > rate:
-        return structure
-
-    is_correct = False
-
-    changes_num = len(structure.polygons)
-
-    n_iter = 0
-
-    new_structure = deepcopy(structure)
-
-    while not is_correct and n_iter < MAX_ITER:
-        n_iter += 1
-
-        if NUM_PROC > 1:
-            with Pool(NUM_PROC) as p:
-                new_items = p.map(
-                    mutate_worker,
-                    [[new_structure, changes_num, domain] for _ in range(NUM_PROC)],
-                )
-        else:
-            new_items = [
-                mutate_worker([new_structure, changes_num, domain])
-                for _ in range(NUM_PROC)
-            ]
-
-        for structure in new_items:
-            if structure is not None:
-                new_structure = structure
-                is_correct = True
-                break
-            elif structure is None:
-                # if the mutation did not return anything,
-                # then it is considered unsuccessful,
-                # in which case a random structure is generated
-
-                new_structure = SensitivitySampler(
-                    path=opt_params.structure_path
-                ).get_pop_worker(domain=domain)
-                is_correct = True
-                break
-    return new_structure
-
-
-def mutate_worker(args):
-    structure, changes_num, domain = args[0], args[1], args[2]
-
-    try:
-        new_structure = deepcopy(structure)
-
-        for _ in range(changes_num):
-            mutations = [change_position, removing_point, rotate_poly]
-            chosen_mutation = random.choice(mutations)
-            polygon_to_mutate_idx = random.randint(0, len(new_structure.polygons) - 1)
-            polygon_to_mutate = deepcopy(new_structure.polygons[polygon_to_mutate_idx])
-
-            mutated_polugon = chosen_mutation(polygon_to_mutate)
-
-            new_structure.polygons[polygon_to_mutate_idx] = mutated_polugon
-
-            if new_structure is None:
-                continue
-
-            for fixed in domain.fixed_points:
-                if fixed not in new_structure.polygons:
-                    # If fixed points were removed from the structure after the mutation,
-                    # they must be added back
-                    if not (fixed.points == [p.points for p in new_structure.polygons]):
-                        new_structure.polygons.append(deepcopy(fixed))
-
-        new_structure = postprocess(new_structure, domain)
-        constraints = check_constraints(structure=new_structure, domain=domain)
-        max_attempts = 3  # Number of attempts to postprocess mutated structures
-        while not constraints:
-            new_structure = postprocess(new_structure, domain)
-            constraints = check_constraints(structure=new_structure, domain=domain)
-            max_attempts -= 1
-            if max_attempts == 0:
-                # If attempts is over,
-                # mutation is considered like unsuccessful
-                return None
-
-        return new_structure
-    except Exception as ex:
-        print(f"Mutation error: {ex}")
-        print(traceback.format_exc())
-        return None
-
-
-def change_position(polygon: Polygon):
-    moving_step = geometry.get_length(polygon=polygon) * 0.05
-    directions = ["north", "south", "east", "west", "n-w", "s-w", "n-e", "s-e"]
-
-    chosen_direct = random.choice(directions)
-
-    moved_poly = deepcopy(polygon)
-    for idx, point in enumerate(moved_poly.points):
-        moved_poly.points[idx] = moving_point(chosen_direct, point, moving_step)
-
-    return moved_poly
-
-
-def moving_point(direction: str, point: Point, moving_step) -> Point:
-    directions = {
-        "north": Point(point.x + moving_step, point.y),
-        "south": Point(point.x - moving_step, point.y),
-        "east": Point(point.x, point.y + moving_step),
-        "west": Point(point.x, point.y - moving_step),
-        "n-w": Point(point.x + moving_step, point.y - moving_step),
-        "s-w": Point(point.x - moving_step, point.y + moving_step),
-        "n-e": Point(point.x + moving_step, point.y + moving_step),
-        "s-e": Point(point.x - moving_step, point.y - moving_step),
-    }
-    return directions[direction]
-
-
-def removing_point(polygon: Polygon):
-    if len(polygon.points) > 2:
-        polygon = deepcopy(polygon)
-        points = polygon.points
-        rand_idx = random.randint(0, len(points) - 1)
-        points.pop(rand_idx)
-        polygon.points = points
-
-        return polygon
-    else:
-        return polygon
-
-
-def get_structure_for_analysis(path: str):
-    structure = get_structure_from_path(path=path)
-    if random.random() < 0.2 and len(structure.polygons) > 1:
-        polygons = structure.polygons
-        rand_idx = random.randint(0, len(polygons) - 1)
-        polygons.pop(rand_idx)
-        structure.polygons = polygons
-
-    methods = [change_position, removing_point, rotate_poly]
-    for idx, polygon in enumerate(structure.polygons):
-        chosen_method = random.choice(methods)
-        new_poly = chosen_method(polygon)
-        structure.polygons[idx] = new_poly
-
-    return structure
-
-
-def rotate_poly(polygon: Polygon):
-    angle = random.randint(1, 360)
-    poly = deepcopy(polygon)
-    rotated_poly = geometry.rotate_poly(poly=poly, angle=angle)
-
-    return rotated_poly
diff --git a/cases/synthetic/line/configuration/__init__.py b/gefest/core/opt/postproc/__init__.py
similarity index 100%
rename from cases/synthetic/line/configuration/__init__.py
rename to gefest/core/opt/postproc/__init__.py
diff --git a/gefest/core/opt/postproc/resolve_errors.py b/gefest/core/opt/postproc/resolve_errors.py
new file mode 100644
index 000000000..1ed468aa1
--- /dev/null
+++ b/gefest/core/opt/postproc/resolve_errors.py
@@ -0,0 +1,120 @@
+from copy import deepcopy
+from typing import Union
+
+from golem.utilities.data_structures import ensure_wrapped_in_sequence
+from loguru import logger
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.postproc.rules_base import PolygonRule, StructureRule
+from gefest.core.opt.postproc.validation import validate
+
+
+class Postrocessor:
+    """Implements logic of structures postprocessing."""
+
+    @staticmethod
+    def apply_postprocess(
+        structures: Union[Structure, list[Structure]],
+        rules: list[Union[StructureRule, PolygonRule]],
+        domain: Domain,
+        attempts: int = 3,
+    ) -> list[Union[Structure, None]]:
+        """Applys postprocessing rules over all provided structures."""
+        structures = ensure_wrapped_in_sequence(structures)
+
+        post_processed = [
+            Postrocessor.postprocess_structure(struct, rules, domain, attempts)
+            for struct in structures
+        ]
+        return post_processed
+
+    @staticmethod
+    def _apply_polygon_rule(structure, rule, attempts, domain) -> Union[Structure, None]:
+        for idx_, _ in enumerate(structure.polygons):
+            for _ in range(attempts):
+
+                if not rule.validate(structure, idx_, domain):
+                    structure[idx_] = rule.correct(structure, idx_, domain)
+                else:
+                    break
+            else:
+                if not rule.validate(structure, idx_, domain):
+                    logger.info(f'{rule.__class__.__name__} fail')
+                    return None
+
+        return structure
+
+    @staticmethod
+    def _apply_structure_rule(structure, rule, attempts, domain) -> Union[Structure, None]:
+        for _ in range(attempts):
+            if not rule.validate(structure, domain):
+                structure = rule.correct(structure, domain)
+            else:
+                break
+        else:
+            if not rule.validate(structure, domain):
+                return None
+
+        return structure
+
+    @staticmethod
+    def postprocess_structure(
+        structure: Structure,
+        rules: list[Union[StructureRule, PolygonRule]],
+        domain: Domain,
+        attempts: int = 3,
+    ) -> Union[Structure, None]:
+        """Apply postprocessing rules to structure.
+
+        Args:
+            structure (Structure): Structure for postprocessing.
+            rules (list[Union[StructureRule, PolygonRule]]): Postprocessing rules,
+                which expect whole structure or particular polygon for check.
+                This interfaces have check() and corerect() methods.
+            domain (Domain): domain
+            attempts (int, optional): Number of attempths to fix errors. Defaults to 3.
+
+        Returns:
+            Union[Structure, None]: If structure valid according to the rules,
+                correct stucture will be returned, else None.
+
+        """
+        if structure is None:
+            logger.error('None struct postproc input')
+            return None
+
+        if any(
+            (not poly or len(poly) == 0 or any(not pt for pt in poly))
+            for poly in structure.polygons
+        ):
+            logger.error('Wrong structure - problems with points')
+            return None
+
+        corrected_structure = deepcopy(structure)
+
+        for rule in (rule for rule in rules if isinstance(rule, PolygonRule)):
+            corrected_structure = Postrocessor._apply_polygon_rule(
+                corrected_structure,
+                rule,
+                attempts,
+                domain,
+            )
+            if not corrected_structure:
+                return None
+
+        for rule in (rule for rule in rules if isinstance(rule, StructureRule)):
+            corrected_structure = Postrocessor._apply_structure_rule(
+                corrected_structure,
+                rule,
+                attempts,
+                domain,
+            )
+            if not corrected_structure:
+                return None
+
+        if validate(corrected_structure, rules, domain):
+            return corrected_structure
+
+        logger.error('None struct postproc out')
+        return None
diff --git a/gefest/core/opt/postproc/rules.py b/gefest/core/opt/postproc/rules.py
new file mode 100644
index 000000000..7c48f7ea9
--- /dev/null
+++ b/gefest/core/opt/postproc/rules.py
@@ -0,0 +1,323 @@
+import copy
+from enum import Enum
+from itertools import combinations
+
+import numpy as np
+from shapely.geometry import GeometryCollection, LineString, MultiPoint
+from shapely.geometry import Point as ShapelyPoint
+from shapely.geometry import Polygon as ShapelyPolygon
+from shapely.ops import unary_union
+from shapely.validation import explain_validity
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.postproc.rules_base import PolygonRule, StructureRule
+
+
+class PolygonsNotTooClose(StructureRule):
+    """Validated distance between polygons."""
+
+    @staticmethod
+    def validate(struct: Structure, domain: Domain) -> bool:
+        """Checks distances between polgons."""
+        pairs = tuple(combinations(struct.polygons, 2))
+        is_too_close = [False] * len(pairs)
+
+        for idx, pair in enumerate(pairs):
+            is_too_close[idx] = (
+                _pairwise_dist(pair[0], pair[1], domain) < domain.dist_between_polygons
+            )
+
+        return not any(is_too_close)
+
+    @staticmethod
+    def correct(struct: Structure, domain: Domain) -> Structure:
+        """Removes one of polygons that are closer than the specified threshold."""
+        polygons = struct.polygons
+        num_poly = len(polygons)
+        to_delete = []
+
+        for i in range(num_poly - 1):
+            for j in range(i + 1, num_poly):
+                distance = _pairwise_dist(polygons[i], polygons[j], domain)
+                if distance < domain.dist_between_polygons:
+                    if (
+                        polygons[i] not in domain.fixed_points
+                        or polygons[i] not in domain.prohibited_area
+                    ):
+                        to_delete.append(i)  # Collecting polygon indices for deletion
+
+        to_delete_poly = [struct.polygons[i] for i in np.unique(to_delete)]
+        corrected_structure = Structure(
+            polygons=[poly for poly in struct.polygons if poly not in to_delete_poly],
+        )
+
+        return corrected_structure
+
+
+def _pairwise_dist(poly_1: Polygon, poly_2: Polygon, domain: Domain):
+
+    # return 0 gives infinite computation
+    if poly_1 is poly_2 or len(poly_1.points) == 0 or len(poly_2.points) == 0:
+        return 9999
+
+    # nearest_pts = domain.geometry.nearest_points(poly_1, poly_2) ??? why returns only 1 point
+    return domain.geometry.min_distance(poly_1, poly_2)
+
+
+class PointsNotTooClose(PolygonRule):
+    """Validated length of polygon edges."""
+
+    @staticmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Checks if each :obj:`Point` in :obj:`Polygon` are placed in valid distance by previous.
+
+        Args:
+            structure: the :obj:`Structure` that explore
+
+        Returns:
+            ``True`` if any side of poly have incorrect lenght, otherwise - ``False``
+
+        """
+        poly = copy.deepcopy(structure[idx_poly_with_error])
+        if poly[0] != poly[-1] and domain.geometry.is_closed:
+            poly.points = poly.points.append(poly[0])
+
+        lenght = domain.dist_between_points
+        check, norms = [[None] * (len(poly) - 1)] * 2
+        for idx, pair in enumerate(
+            zip(
+                poly[:-1],
+                poly[1:],
+            ),
+        ):
+            norm = np.linalg.norm(np.array(pair[1].coords) - np.array(pair[0].coords))
+            norms[idx] = norm
+            check[idx] = norm > lenght
+
+        return all(check)
+
+    @staticmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Corrects polygon."""
+        poly = copy.deepcopy(structure[idx_poly_with_error])
+        poly = domain.geometry.simplify(poly, domain.dist_between_points * 1.05)
+
+        if poly[0] != poly[-1] and domain.geometry.is_closed:
+            poly.points.append(poly[0])
+
+        elif poly[0] == poly[-1] and not domain.geometry.is_closed:
+            poly.points = poly.points[:-1]
+
+        return poly
+
+
+class PolygonNotOverlapsProhibited(PolygonRule):
+    """Validates polygon overlapping other objects."""
+
+    @staticmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Checks if polygon overlaps other polygons or prohibits."""
+        geom = domain.geometry
+        if domain.geometry.is_closed:
+            pass
+        else:
+
+            prohib = geom.get_prohibited_geom(domain.prohibited_area, domain.dist_between_polygons)
+            prohib = unary_union(prohib)
+            poly = geom._poly_to_shapely_line(structure[idx_poly_with_error])
+
+            if poly.intersects(prohib):
+                return False
+
+        return True
+
+    @staticmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Corrects polygon overlaps."""
+        geom = domain.geometry
+        if domain.geometry.is_closed:
+            raise NotImplementedError()
+        else:
+
+            prohib = geom.get_prohibited_geom(domain.prohibited_area, domain.dist_between_polygons)
+            prohib = unary_union(prohib)
+
+            poly = geom._poly_to_shapely_line(structure[idx_poly_with_error])
+
+            if poly.intersects(prohib):
+                res = poly.difference(prohib.buffer(0.001))
+
+                if isinstance(res, (MultiPoint, LineString)):
+                    res = GeometryCollection(res)
+
+                parts = res.geoms
+                parts = [g for g in parts if not g.intersects(prohib)]
+                poly = np.random.choice(parts)
+                return Polygon([Point(p[0], p[1]) for p in poly.coords])
+            else:
+                return Polygon([Point(p[0], p[1]) for p in poly.coords])
+
+
+class PolygonGeometryIsValid(PolygonRule):
+    """Validates polygon geometry.
+
+    A polygon is invalid if its geometry does not match the geometry of the domain.
+
+    """
+
+    @staticmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Validates polygon geometry."""
+        poly = structure[idx_poly_with_error]
+        if (domain.geometry.is_closed and (poly[0] == poly[-1])) or (
+            not domain.geometry.is_closed and (poly[0] != poly[-1])
+        ):
+            return True
+
+        return False
+
+    @staticmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Corrects polygon geometry."""
+        poly = structure[idx_poly_with_error]
+        if domain.geometry.is_closed and (poly[0] != poly[-1]):
+            poly.points.append(poly.points[0])
+
+        elif not domain.geometry.is_closed and (poly[0] == poly[-1]):
+            poly.points = poly.points[:-1]
+
+        return poly
+
+
+class PolygonNotOutOfBounds(PolygonRule):
+    """Out of bounds rule. Polygon invalid if it out of bounds."""
+
+    @staticmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Checks if polygon is out of domain bounds."""
+        geom_poly_allowed = ShapelyPolygon(
+            [ShapelyPoint(pt.x, pt.y) for pt in domain.allowed_area],
+        )
+        for pt in structure[idx_poly_with_error]:
+            geom_pt = ShapelyPoint(pt.x, pt.y)
+            if (
+                not geom_poly_allowed.contains(geom_pt)
+                and not geom_poly_allowed.distance(geom_pt) < domain.min_dist_from_boundary
+            ):
+                return False
+
+        return True
+
+    @staticmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Corrects out of bound polygon."""
+        point_moved = False
+        poly = structure[idx_poly_with_error]
+        for p_id, point in enumerate(poly):
+            if point in domain.fixed_points:
+                continue
+
+            point.x = max(point.x, domain.min_x + domain.len_x * 0.05)
+            point.y = max(point.y, domain.min_y + domain.len_y * 0.05)
+            point.x = min(point.x, domain.max_x + domain.len_x * 0.05)
+            point.y = min(point.y, domain.max_y + domain.len_y * 0.05)
+            if point not in domain:
+                new_point = domain.geometry.nearest_point(point, domain.bound_poly)
+                poly.points[p_id] = new_point
+                point_moved = True
+
+        if point_moved:
+            poly = domain.geometry.resize_poly(poly=poly, x_scale=0.8, y_scale=0.8)
+
+        if poly[0] != poly[-1] and domain.geometry.is_closed:
+            poly.points.append(poly[0])
+        elif poly[0] == poly[-1] and not domain.geometry.is_closed:
+            poly.points = poly.points[:-1]
+
+        return poly
+
+
+class PolygonNotSelfIntersects(PolygonRule):
+    """Selfintersection rule. Polygon invalid if it have selfintersections."""
+
+    @staticmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Validates polygon for selfintersection."""
+        poly = structure[idx_poly_with_error]
+        return not (
+            len(poly) > 2
+            and _forbidden_validity(
+                explain_validity(
+                    ShapelyPolygon([ShapelyPoint(pt.x, pt.y) for pt in poly]),
+                ),
+            )
+        )
+
+    @staticmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Corrects selfintersection in polygon."""
+        poly = structure[idx_poly_with_error]
+        poly = domain.geometry.get_convex(poly)
+        if not domain.geometry.is_closed:
+            poly.points = poly.points[:-1]
+
+        return poly
+
+
+def _forbidden_validity(validity):
+    if 'Valid Geometry' in validity:
+        return False
+    else:
+        return True
+
+
+class Rules(Enum):
+    """Enumeration of all defined rules."""
+
+    not_too_close_polygons = PolygonsNotTooClose()
+    valid_polygon_geom = PolygonGeometryIsValid()
+    not_out_of_bounds = PolygonNotOutOfBounds()
+    not_self_intersects = PolygonNotSelfIntersects()
+    not_overlaps_prohibited = PolygonNotOverlapsProhibited()
+    not_too_close_points = PointsNotTooClose()
diff --git a/gefest/core/opt/postproc/rules_base.py b/gefest/core/opt/postproc/rules_base.py
new file mode 100644
index 000000000..27e532e96
--- /dev/null
+++ b/gefest/core/opt/postproc/rules_base.py
@@ -0,0 +1,94 @@
+from abc import ABCMeta, abstractmethod
+
+from gefest.core.geometry import Polygon, Structure
+from gefest.core.geometry.domain import Domain
+
+
+class PolygonRule(metaclass=ABCMeta):
+    """Interface of postprocessing rule for polygon.
+
+    Provides validation and correction functions for spicific error,
+    e.g. 'out of bounds', 'self intersection', 'unclosed polygon'.
+    """
+
+    @staticmethod
+    @abstractmethod
+    def validate(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> bool:
+        """Checks if there is no error in the spicific polygon in structure.
+
+        Args:
+            structure (Structure): Structure with error.
+            idx_ (int): Index of polygon with error in structure.
+
+        Returns:
+            bool: True if polygon has no spicific problem,
+                otherwise False.
+        """
+        ...
+
+    @staticmethod
+    @abstractmethod
+    def correct(
+        structure: Structure,
+        idx_poly_with_error: int,
+        domain: Domain,
+    ) -> Polygon:
+        """Trys to fix spicific error.
+
+        The method does not guarantee error correction.
+
+        Args:
+            structure (Structure): Structure with error.
+            idx_poly_with_error (int): Index of polygon with error in structure.
+
+        Returns:
+            Polygon
+        """
+        ...
+
+
+class StructureRule(metaclass=ABCMeta):
+    """Interface of postprocessing rule for whole structure.
+
+    Provides validation and correction functions for spicific error,
+    e.g. 'polygons in structure too close'.
+    """
+
+    @staticmethod
+    @abstractmethod
+    def validate(
+        structure: Structure,
+        domain: Domain,
+    ) -> bool:
+        """Checks if there is no error in the structure.
+
+        Args:
+            structure (Structure): Structure for validation.
+
+        Returns:
+            bool: True if structure has no spicific problem,
+                otherwise False.
+        """
+        ...
+
+    @staticmethod
+    @abstractmethod
+    def correct(
+        structure: Structure,
+        domain: Domain,
+    ) -> Structure:
+        """Trys to fix spicific error.
+
+        The method does not guarantee error correction.
+
+        Args:
+            structure (Structure): Structure with error.
+
+        Returns:
+            Structure
+        """
+        ...
diff --git a/gefest/core/opt/postproc/validation.py b/gefest/core/opt/postproc/validation.py
new file mode 100644
index 000000000..93492eb7d
--- /dev/null
+++ b/gefest/core/opt/postproc/validation.py
@@ -0,0 +1,43 @@
+from typing import Union
+
+from loguru import logger
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.postproc.rules_base import PolygonRule, StructureRule
+
+
+def validate(
+    structure: Structure,
+    rules: list[Union[StructureRule, PolygonRule]],
+    domain: Domain,
+) -> bool:
+    """Validates single structure.
+
+    Args:
+        structure (Structure): Structure.
+        rules (list[Union[StructureRule, PolygonRule]]): Validation rules.
+        domain (Domain): Task domain.
+
+    Returns:
+        bool: True if valid else False
+    """
+    if structure is None:
+        return False
+
+    if any((not poly or len(poly) == 0 or any(not p for p in poly)) for poly in structure):
+        logger.error('Wrong structure - problems with points')
+        return False
+
+    for rule in (rule for rule in rules if isinstance(rule, PolygonRule)):
+        for idx_, _ in enumerate(structure):
+            if not rule.validate(structure, idx_, domain):
+                logger.info(f'{rule.__class__.__name__} final fail')
+                return False
+
+    for rule in (rule for rule in rules if isinstance(rule, StructureRule)):
+        if not rule.validate(structure, domain):
+            logger.info(f'{rule.__class__.__name__} final fail')
+            return False
+
+    return True
diff --git a/gefest/core/opt/result.py b/gefest/core/opt/result.py
deleted file mode 100644
index acae135bd..000000000
--- a/gefest/core/opt/result.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import json
-import os
-from dataclasses import dataclass
-from typing import Union, List, Optional
-
-from gefest.core.serialization.serializer import Serializer
-from gefest.core.structure.structure import Structure
-
-
-@dataclass
-class Result:
-    name: str
-    best_structure: Union[Structure, List[Structure]]
-    fitness: float
-    metadata: dict
-
-    def save(self, json_file_path: os.PathLike = None) -> Optional[str]:
-        if json_file_path is None:
-            return json.dumps(self, indent=4, cls=Serializer)
-        with open(json_file_path, mode='w') as json_fp:
-            json.dump(self, json_fp, indent=4, cls=Serializer)
-
-    @staticmethod
-    def load(json_str_or_file_path: Union[str, os.PathLike] = None) -> 'Result':
-        try:
-            return json.loads(json_str_or_file_path, cls=Serializer)
-        except json.JSONDecodeError as exc:
-            with open(json_str_or_file_path, mode='r') as json_fp:
-                return json.load(json_fp, cls=Serializer)
diff --git a/gefest/core/opt/setup.py b/gefest/core/opt/setup.py
deleted file mode 100644
index 4ab9f3cd2..000000000
--- a/gefest/core/opt/setup.py
+++ /dev/null
@@ -1,21 +0,0 @@
-from collections.abc import Callable
-from dataclasses import dataclass
-from typing import List, Union
-
-from gefest.core.structure.domain import Domain
-
-
-@dataclass
-class Setup:
-    """The wrapper object that union :obj:`Domain` and a simulator of physical process
-
-    Args:
-        domain (Domain): the :obj:`Domain` that use for optimization process
-        simulator (Callable): the simulator of physical process
-
-    Returns:
-        Setup: prepared settings for optimization
-    """
-
-    domain: Union[Domain, List[Domain]]
-    simulator: Callable = None
diff --git a/gefest/core/opt/strategies/__init__.py b/gefest/core/opt/strategies/__init__.py
new file mode 100644
index 000000000..550c2ffcf
--- /dev/null
+++ b/gefest/core/opt/strategies/__init__.py
@@ -0,0 +1,2 @@
+from .crossover import CrossoverStrategy
+from .mutation import MutationStrategy
diff --git a/gefest/core/opt/strategies/crossover.py b/gefest/core/opt/strategies/crossover.py
new file mode 100644
index 000000000..35459b91c
--- /dev/null
+++ b/gefest/core/opt/strategies/crossover.py
@@ -0,0 +1,80 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+import numpy as np
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+import copy
+from functools import partial
+from typing import Callable
+
+from gefest.core.geometry import Structure
+from gefest.core.opt.operators.crossovers import crossover_structures
+from gefest.core.utils import where
+from gefest.core.utils.parallel_manager import BaseParallelDispatcher
+
+from .strategy import Strategy
+
+
+class CrossoverStrategy(Strategy):
+    """Default crossover strategy."""
+
+    def __init__(self, opt_params: OptimizationParams):
+
+        self.prob = opt_params.crossover_prob
+        self.crossovers = opt_params.crossovers
+        self.crossovers_probs = opt_params.crossover_each_prob
+        self.crossover_chacne = opt_params.crossover_prob
+        self.postprocess: Callable = opt_params.postprocessor
+        self.parent_pairs_selector: Callable = opt_params.pair_selector
+        self.sampler: Callable = opt_params.sampler
+        self.domain = opt_params.domain
+        self.postprocess_attempts = opt_params.postprocess_attempts
+        self._pm = BaseParallelDispatcher(opt_params.n_jobs)
+
+    def __call__(self, pop: list[Structure]) -> list[Structure]:
+        """Calls crossover method."""
+        return self.crossover(pop=pop)
+
+    def crossover(self, pop: list[Structure]):
+        """Executes crossover for provided population."""
+        crossover = partial(
+            crossover_structures,
+            domain=self.domain,
+            operations=self.crossovers,
+            operation_chance=self.crossover_chacne,
+            operations_probs=self.crossovers_probs,
+        )
+
+        pairs = copy.deepcopy(self.parent_pairs_selector(pop))
+
+        crossover_mask = np.random.choice(
+            [True, False],
+            size=len(pairs),
+            p=[self.crossover_chacne, 1 - self.crossover_chacne],
+        )
+        pairs = [pair for idx, pair in enumerate(pairs) if crossover_mask[idx]]
+
+        new_generation = self._pm.exec_parallel(
+            func=crossover,
+            arguments=pairs,
+            use=True,
+        )
+
+        new_generation = self._pm.exec_parallel(
+            func=self.postprocess,
+            arguments=[(ind,) for ind in new_generation],
+            use=True,
+            flatten=True,
+        )
+
+        idx_failed = where(new_generation, lambda ind: ind is None)
+        if len(idx_failed) > 0:
+            generated = self.sampler(len(idx_failed))
+            for enum_id, idx in enumerate(idx_failed):
+                new_generation[idx] = generated[enum_id]
+
+        return new_generation
diff --git a/gefest/core/opt/strategies/mutation.py b/gefest/core/opt/strategies/mutation.py
new file mode 100644
index 000000000..e60ec3e2e
--- /dev/null
+++ b/gefest/core/opt/strategies/mutation.py
@@ -0,0 +1,76 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+import copy
+from functools import partial
+from typing import Callable
+
+from gefest.core.geometry import Structure
+from gefest.core.opt.operators.mutations import mutate_structure
+from gefest.core.utils import where
+from gefest.core.utils.parallel_manager import BaseParallelDispatcher
+
+from .strategy import Strategy
+
+
+class MutationStrategy(Strategy):
+    """Default mutation strategy."""
+
+    def __init__(self, opt_params: OptimizationParams):
+
+        self.domain = opt_params.domain
+        self.mutation_chance = opt_params.mutation_prob
+        self.mutations = opt_params.mutations
+        self.mutations_probs = opt_params.mutation_each_prob
+        self.postprocess: Callable = opt_params.postprocessor
+        self.sampler = opt_params.sampler
+        self.postprocess_attempts = opt_params.postprocess_attempts
+        self._pm = BaseParallelDispatcher(opt_params.n_jobs)
+
+    def __call__(self, pop: list[Structure]) -> list[Structure]:
+        """Calls mutate method."""
+        return self.mutate(pop=pop)
+
+    def mutate(self, pop: list[Structure]) -> list[Structure]:
+        """Mutates provided population.
+
+        Args:
+            pop (list[Structure]): Given population.
+
+        Returns:
+            list[Structure]: Mutated population.
+        """
+        mutator = partial(
+            mutate_structure,
+            domain=self.domain,
+            operations=self.mutations,
+            operation_chance=self.mutation_chance,
+            operations_probs=self.mutations_probs,
+        )
+        pop_ = copy.deepcopy(pop)
+
+        mutated_pop = self._pm.exec_parallel(
+            func=mutator,
+            arguments=[(ind,) for ind in pop_],
+            use=True,
+            flatten=False,
+        )
+
+        mutated_pop = self._pm.exec_parallel(
+            func=partial(self.postprocess, attempts=3),
+            arguments=[(ind,) for ind in mutated_pop],
+            use=True,
+            flatten=True,
+        )
+
+        idx_failed = where(mutated_pop, lambda ind: ind is None)
+        if len(idx_failed) > 0:
+            generated = self.sampler(len(idx_failed))
+            for enum_id, idx in enumerate(idx_failed):
+                mutated_pop[idx] = generated[enum_id]
+
+        return mutated_pop
diff --git a/gefest/core/opt/strategies/strategy.py b/gefest/core/opt/strategies/strategy.py
new file mode 100644
index 000000000..1c99d1e28
--- /dev/null
+++ b/gefest/core/opt/strategies/strategy.py
@@ -0,0 +1,18 @@
+from abc import ABCMeta, abstractmethod
+from typing import Any
+
+from gefest.core.geometry import Structure
+
+
+class Strategy(metaclass=ABCMeta):
+    """Abstract class for algorithm steps."""
+
+    @abstractmethod
+    def __call__(
+        self,
+        pop: list[Structure],
+        *args: Any,
+        **kwds: Any,
+    ) -> list[Structure]:
+        """Must implement logic of any genetic algorithm step."""
+        ...
diff --git a/gefest/core/serialization/any.py b/gefest/core/serialization/any.py
index 108dcbf2a..c7b1f5c44 100644
--- a/gefest/core/serialization/any.py
+++ b/gefest/core/serialization/any.py
@@ -2,29 +2,25 @@
 from inspect import signature
 from typing import Any, Dict, Type
 
-from gefest.core.serialization.serializer import Serializer, INSTANCE_OR_CALLABLE
+from gefest.core.serialization.serializer import INSTANCE_OR_CALLABLE, Serializer
 
 
 def any_to_json(obj: INSTANCE_OR_CALLABLE) -> Dict[str, Any]:
     return {
         **{k: v for k, v in vars(obj).items() if k != 'log'},
-        **Serializer.dump_path_to_obj(obj)
+        **Serializer.dump_path_to_obj(obj),
     }
 
 
-def any_from_json(cls: Type[INSTANCE_OR_CALLABLE], json_obj: Dict[str, Any]) -> INSTANCE_OR_CALLABLE:
+def any_from_json(
+    cls: Type[INSTANCE_OR_CALLABLE],
+    json_obj: Dict[str, Any],
+) -> INSTANCE_OR_CALLABLE:
     cls_parameters = signature(cls.__init__).parameters
     if 'kwargs' not in cls_parameters:
-        init_data = {
-            k: v
-            for k, v in json_obj.items()
-            if k in cls_parameters
-        }
+        init_data = {k: v for k, v in json_obj.items() if k in cls_parameters}
         obj = cls(**init_data)
-        vars(obj).update({
-            k: json_obj[k]
-            for k in json_obj.keys() ^ init_data.keys()
-        })
+        vars(obj).update({k: json_obj[k] for k in json_obj.keys() ^ init_data.keys()})
     else:
         init_data = deepcopy(json_obj)
         obj = cls(**init_data)
diff --git a/gefest/core/serialization/serializer.py b/gefest/core/serialization/serializer.py
index b91445466..a11cdc6f7 100644
--- a/gefest/core/serialization/serializer.py
+++ b/gefest/core/serialization/serializer.py
@@ -16,20 +16,19 @@ class Serializer(JSONEncoder, JSONDecoder):
 
     def __init__(self, *args, **kwargs):
         for base_class, coder_name in [(JSONEncoder, 'default'), (JSONDecoder, 'object_hook')]:
-            base_kwargs = {k: kwargs[k] for k in kwargs.keys() & signature(base_class.__init__).parameters}
+            base_kwargs = {
+                k: kwargs[k] for k in kwargs.keys() & signature(base_class.__init__).parameters
+            }
             base_kwargs[coder_name] = getattr(self, coder_name)
             base_class.__init__(self, **base_kwargs)
 
         if not Serializer.CODERS_BY_TYPE:
             from gefest.core.opt.result import Result
-            from gefest.core.structure.structure import Structure
             from gefest.core.structure.point import Point
             from gefest.core.structure.polygon import Polygon
+            from gefest.core.structure.structure import Structure
 
-            from .any import (
-                any_from_json,
-                any_to_json,
-            )
+            from .any import any_from_json, any_to_json
 
             _to_json = Serializer._to_json
             _from_json = Serializer._from_json
@@ -38,12 +37,13 @@ def __init__(self, *args, **kwargs):
                 Result: basic_serialization,
                 Structure: basic_serialization,
                 Polygon: basic_serialization,
-                Point: basic_serialization
-
+                Point: basic_serialization,
             }
 
     @staticmethod
-    def _get_field_checker(obj: Union[INSTANCE_OR_CALLABLE, Type[INSTANCE_OR_CALLABLE]]) -> Callable[..., bool]:
+    def _get_field_checker(
+        obj: Union[INSTANCE_OR_CALLABLE, Type[INSTANCE_OR_CALLABLE]],
+    ) -> Callable[..., bool]:
         if isclass(obj):
             return issubclass
         return isinstance
@@ -80,9 +80,7 @@ def dump_path_to_obj(obj: INSTANCE_OR_CALLABLE) -> Dict[str, str]:
             obj_module = obj.__module__
         else:
             obj_module = obj.__class__.__module__
-        return {
-            CLASS_PATH_KEY: f'{obj_module}{MODULE_X_NAME_DELIMITER}{obj_name}'
-        }
+        return {CLASS_PATH_KEY: f'{obj_module}{MODULE_X_NAME_DELIMITER}{obj_name}'}
 
     def default(self, obj: INSTANCE_OR_CALLABLE) -> Dict[str, Any]:
         """Tries to encode objects that are not simply json-encodable to JSON-object
@@ -119,7 +117,7 @@ def _get_class(class_path: str) -> Type[INSTANCE_OR_CALLABLE]:
         return obj_cls
 
     def object_hook(self, json_obj: Dict[str, Any]) -> Union[INSTANCE_OR_CALLABLE, dict]:
-        """Decodes every JSON-object to python class/func object or just returns dict
+        """Decodes every JSON-object to python class/func object or just returns dict.
 
         Args:
             json_obj: dict to be decoded into Python class, function or
@@ -127,6 +125,7 @@ def object_hook(self, json_obj: Dict[str, Any]) -> Union[INSTANCE_OR_CALLABLE, d
 
         Returns:
             Python class, function or method object OR input if it's just a regular dict
+
         """
 
         if CLASS_PATH_KEY in json_obj:
@@ -134,8 +133,13 @@ def object_hook(self, json_obj: Dict[str, Any]) -> Union[INSTANCE_OR_CALLABLE, d
             del json_obj[CLASS_PATH_KEY]
             base_type = Serializer._get_base_type(obj_cls)
             if isclass(obj_cls) and base_type is not None:
-                return Serializer._get_coder_by_type(base_type, Serializer._from_json)(obj_cls, json_obj)
+                return Serializer._get_coder_by_type(base_type, Serializer._from_json)(
+                    obj_cls,
+                    json_obj,
+                )
             elif isfunction(obj_cls) or ismethod(obj_cls):
                 return obj_cls
+
             raise TypeError(f'Parsed obj_cls={obj_cls} is not serializable, but should be')
+
         return json_obj
diff --git a/gefest/core/structure/__init__.py b/gefest/core/structure/__init__.py
deleted file mode 100755
index e69de29bb..000000000
diff --git a/gefest/core/structure/domain.py b/gefest/core/structure/domain.py
deleted file mode 100644
index a76b0ce8b..000000000
--- a/gefest/core/structure/domain.py
+++ /dev/null
@@ -1,123 +0,0 @@
-from typing import List, Optional, Tuple
-
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-
-
-class Domain:
-    """:obj:`Domain` is responsible for the whole information about geometry of the
-    problem
-    Args:
-        name: the name 'id' of the :obj:`Domain`, by deafult ``name='main'``
-        allowed_area: determinate allowed area for exploring solution
-            into its frame; the :obj:`list` of :obj:`tuple` objects that
-            contain couples of border coordinates, by default is ``None``
-            If ``allowed_area=None``, allowed area will be determinated by square
-            with the ``length of edge = 100`` and bottom left corner located in the origin.
-        max_poly_num: the maximum number of :obj:`Polygon` objects :obj:`Structure`
-            might contains, by default ``max_poly_num=4``
-        min_poly_num: the minimum number of :obj:`Polygon` objects :obj:`Structure`
-            might contains, by default ``min_poly_num=2``
-        max_points_num: the maximum number of :obj:`Point` objects :obj:`Polygon`
-            might contains, by default ``max_points_num=50``
-        min_points_num: the minimum number of :obj:`Point` objects :obj:`Polygon`
-            might contains, by default ``min_points_num=20``
-        fixed_points: determine the areas that must not be ignored during find solution;
-            the :obj:`list` of sets of border coordinates, every set has contain couples of coordinates
-            as set of :obj:`tuple`, by default is ``None``
-        is_closed: will create geometrical objects with closed borders (when start point is same
-            with the last one) if ``True``, against if ``False``; by default is ``True``
-        geometry: determinate a way for processing created objects, by default is ``None``
-            If ``geometry=None``, created objects will process as 2D objects via :obj:`Geometry2D()`
-    Attributes:
-        min_x: the minimum value among **x** coordinates within **allowed_area**
-        max_x: the maximum value among **x** coordinates within **allowed_area**
-        min_y: the minimum value among **y** coordinates within **allowed_area**
-        max_y: the maximum value among **y** coordinates within **allowed_area**
-        len_x: the absolute difference betwen **max_x** and **min_x**
-        len_y: the absolute difference betwen **max_y** and **min_y**
-        bound_poly: creates the :obj:`Polygon` by :obj:`Domain`'s border coordinates
-    Returns:
-        Domain: ``obj Domain()``
-    """
-
-    def __init__(self, name='main', allowed_area: Optional[List[Tuple]] = None,
-                 max_poly_num=4, min_poly_num=2,
-                 max_points_num=50, min_points_num=20,
-                 prohibited_area: Optional = None,
-                 fixed_points=None,
-                 is_closed=True,
-                 geometry=None):
-        self.name = name
-        self.is_closed = is_closed
-        if geometry is None:
-            self.geometry = Geometry2D()
-        else:
-            self.geometry = geometry
-
-        if allowed_area is None:
-            allowed_area = [(0, 0),
-                            (0, 100),
-                            (100, 100),
-                            (100, 0)]
-        else:
-            allowed_area = [(int(round(p[0], 0)), int(round(p[1], 0))) for p in allowed_area]
-
-        self.allowed_area = allowed_area
-        self.prohibited_area = prohibited_area
-
-        self.max_poly_num = max_poly_num
-        self.min_poly_num = min_poly_num
-
-        self.max_points_num = max_points_num
-        self.min_points_num = min_points_num
-
-        self.min_dist = max(self.max_x - self.min_x, self.max_y - self.min_y) / 35
-
-        self.fixed_points = [Polygon(polygon_id='fixed', points=[Point(p[0], p[1]) for p in poly]) for poly in
-                             fixed_points] \
-            if fixed_points is not None else []
-
-    @property
-    def min_x(self):
-        return min(p[0] for p in self.allowed_area)
-
-    @property
-    def max_x(self):
-        return max(p[0] for p in self.allowed_area)
-
-    @property
-    def min_y(self):
-        return min(p[1] for p in self.allowed_area)
-
-    @property
-    def max_y(self):
-        return max(p[1] for p in self.allowed_area)
-
-    @property
-    def len_x(self):
-        return abs(self.max_x - self.min_x)
-
-    @property
-    def len_y(self):
-        return abs(self.max_y - self.min_y)
-
-    def contains(self, point: Point):
-        """Checking :obj:`Domain` contains :obj:`point`
-        Args:
-            point: checked point
-        Returns:
-            ``True`` if given :obj:`Point` locates in the allowed area borders,
-           otherwise returns ``False``
-        """
-        geom_poly_allowed = Polygon(polygon_id=f'bnd_{self.name}',
-                                    points=[Point(pt[0], pt[1]) for pt in self.allowed_area])
-        return self.geometry.is_contain_point(geom_poly_allowed, point)
-
-    @property
-    def bound_poly(self):
-        if self.allowed_area is None or len(self.allowed_area) <= 2:
-            raise ValueError('Not enough points for domain')
-        bnd_points = [Point(*pt_coords) for pt_coords in self.allowed_area]
-        return Polygon(polygon_id=f'bnd_{self.name}', points=bnd_points)
diff --git a/gefest/core/structure/point.py b/gefest/core/structure/point.py
deleted file mode 100644
index 048e083e5..000000000
--- a/gefest/core/structure/point.py
+++ /dev/null
@@ -1,83 +0,0 @@
-from dataclasses import dataclass
-from typing import List
-
-
-@dataclass
-class Point:
-    """
-    The smallest geometrical object which consists the spatial information of the point
-
-    Args:
-        _x: the **x** coordinate of :obj:`Point`
-        _y: the **y** coordinate of :obj:`Point`
-        _z: the **z** coordinate of :obj:`Point`, by default ``_z=0.0``
-
-    Attributes:
-        x: returns the rounded until integer **x** coordinate
-        y: returns the rounded until integer **y** coordinate
-        z: returns the rounded until integer **z** coordinate
-
-    Examples:
-            >>> from gefest.core.structure.point import Point
-            >>> point = Point(1,2)
-            >>> point.coords()
-            [1, 2, 0]
-
-            >>> print('x = {}, y = {}'.format(point.x, point.y))
-            x = 1, y = 2
-
-    Returns:
-        Point: ``Point(x,y,z)``
-
-    """
-
-    _x: float
-    _y: float
-    _z: float = 0.0
-
-    @property
-    def x(self) -> int:
-        return round(self._x)
-
-    @x.setter
-    def x(self, value):
-        self._x = value
-
-    @property
-    def y(self) -> int:
-        return round(self._y)
-
-    @y.setter
-    def y(self, value):
-        self._y = value
-
-    @property
-    def z(self) -> int:
-        return round(self._z)
-
-    @z.setter
-    def z(self, value):
-        self._z = value
-
-    def coords(self):
-        '''Returns the :obj:`list` included spatial coordinates of the :obj:`Point`
-
-        Returns:
-          :obj:`List`: ``[x,y,z]``
-
-        '''
-        return [self.x, self.y, self.z]
-
-
-@dataclass
-class Point2D(Point):
-    @property
-    def z(self):
-        return 0
-
-    @z.setter
-    def z(self, value):
-        self._z = 0
-
-    def coords(self):
-        return [self.x, self.y]
diff --git a/gefest/core/structure/polygon.py b/gefest/core/structure/polygon.py
deleted file mode 100644
index f9415883d..000000000
--- a/gefest/core/structure/polygon.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from typing import List, Optional
-from uuid import uuid4
-
-from gefest.core.structure.point import Point
-
-
-class Polygon:
-    """The geometrical object made up of :obj:`Point` objects
-
-    Args:
-        polygon_id: name of :obj:`Polygon`, used as separator between polygons
-            in the postprocessing layer; must be ``"fixed"`` where created a :obj:`Polygon`
-            that can not be deleted from working area due postprocessing
-        points: :obj:`list` of :obj:`Point` objects which form borders of :obj:`Polygon`
-
-    Attributes:
-        polygon_id: returns the name of :obj:`Polygon`
-            that can not be deleted from working area due postprocessing
-        points: returns :obj:`list` of :obj:`Point` which form borders of :obj:`Polygon`
-
-    Examples:
-        >>> from gefest.core.structure.point import Point
-        >>> from gefest.core.structure.polygon import Polygon
-        >>> points_triagle = [Point(0,0), Point(3,3), Point(3,0)]
-        >>> triangle = Polygon('triangle', points=points_triagle)
-        >>> triangle.points
-        [Point(_x=0, _y=0, _z=0.0),
-        Point(_x=3, _y=3, _z=0.0),
-        Point(_x=3, _y=0, _z=0.0)]
-
-    Returns:
-        Polygon: ``Polygon(List[Point])``
-    """
-
-    def __init__(self, polygon_id: str = str(uuid4()), points: Optional[List[Point]] = None):
-        if points is None:
-            points = []
-        self.id = polygon_id
-        self.points = points
diff --git a/gefest/core/structure/prohibited.py b/gefest/core/structure/prohibited.py
deleted file mode 100644
index abb50d76e..000000000
--- a/gefest/core/structure/prohibited.py
+++ /dev/null
@@ -1,39 +0,0 @@
-from shapely.geometry.point import Point
-from typing import Optional, List
-
-from gefest.core.structure.structure import Structure
-from gefest.core.structure.structure import Polygon
-from gefest.core.structure.structure import Point as G_Point
-
-
-def create_prohibited(targets: Optional[List[List]] = None, fixed_points: Optional[List[List]] = None,
-                      fixed_area: Optional[List[List]] = None) -> Structure:
-    """
-    Creation of fixed, prohibited structures. Polygons cannot cross them
-
-    :param targets: (Optional[List[List]]), fixed targets inside domain
-    :param fixed_points: (Optional[List[List]]), fixed lines inside domain
-    :param fixed_area: (Optional[List[List]]), fixed areas inside domain
-    :return: Structure, structure of all prohibited polygons (targets, lines, areas)
-    ::TODO:: change buffer to something more interpretable
-    """
-    prohibited_area = []
-    if targets is not None:
-        target_polygons = [List(Point(target).buffer(20).exterior.coords) for target in targets]
-        target_points = [[G_Point(p[0], p[1]) for p in target] for target in target_polygons]
-        poly_targets = [Polygon(polygon_id='prohibited_target', points=points) for points in target_points]
-        prohibited_area += poly_targets
-
-    if fixed_points is not None:
-        fix_points = [[G_Point(p[0], p[1]) for p in fixed] for fixed in fixed_points]
-        poly_fixed = [Polygon(polygon_id='prohibited_poly', points=points) for points in fix_points]
-        prohibited_area += poly_fixed
-
-    if fixed_area is not None:
-        fix_area = [[G_Point(p[0], p[1]) for p in fixed] for fixed in fixed_area]
-        poly_area = [Polygon(polygon_id='prohibited_area', points=points) for points in fix_area]
-        prohibited_area += poly_area
-
-    struct = Structure(prohibited_area)
-
-    return struct
diff --git a/gefest/core/structure/structure.py b/gefest/core/structure/structure.py
deleted file mode 100644
index 38fe5a693..000000000
--- a/gefest/core/structure/structure.py
+++ /dev/null
@@ -1,339 +0,0 @@
-import json
-import pickle
-from uuid import uuid4
-from dataclasses import dataclass
-from random import randint, choice, random
-from typing import List, Optional
-
-import matplotlib.pyplot as plt
-import numpy as np
-
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-
-
-@dataclass
-class Structure:
-    """The geometrical object made up of :obj:`Polygon` objects
-    Args:
-        polygons: list of :obj:`Polygon` objects which form a combined set of polygons,
-            needed for joint processing capability of polygons
-    Attributes:
-        text_id: returns information about :obj:`Polygons` and :obj:`Points`
-            included in :obj:`Structure`
-        polygons: returns the :obj:`list` of :obj:`Polygon` objects
-        total_points: returns the :obj:`list` with lengths (number of :obj:`Point`)
-            of every :obj:`Polygon` included
-    Examples:
-        >>> from gefest.core.structure.point import Point
-        >>> from gefest.core.structure.polygon import Polygon
-        >>> from gefest.core.structure.structure import Structure
-        >>> # creating the rectangle Polygon
-        >>> points_rect = [Point(4,0), Point(8,0), Point(8,4), Point(4,4), Point(4,0)]
-        >>> rectangle = Polygon('rectangle', points=points_rect)
-        >>> # creating the triangle Polygon
-        >>> points_triagle = [Point(0,0), Point(3,3), Point(3,0), Point(0,0)]
-        >>> triangle = Polygon('triangle', points=points_triagle)
-        >>> # creating the Structure and plot it
-        >>> struct = Structure([triangle, rectangle])
-        >>> struct.text_id
-        'P0=4:(x=0, y=0); (x=3, y=3); (x=3, y=0); (x=0, y=0);
-        P1=5:(x=4, y=0); (x=8, y=0); (x=8, y=4); (x=4, y=4); (x=4, y=0); '
-        >>> struct.total_points
-        [4, 5]
-    Returns:
-        Structure: ``Structure(List[Polygon])``
-    """
-
-    polygons: List[Polygon]
-
-    def __str__(self):
-        out_str = ""
-        for i, pol in enumerate(self.polygons):
-            out_str += f"\r\n Polygon {i}, size {len(pol.points)}: \r\n"
-            for j, pt in enumerate(pol.points):
-                out_str += f"Point {j}: x={round(pt.x, 2)}, y={round(pt.y, 2)}; "
-        return out_str
-
-    def __repr__(self):
-        return json.dumps(self, default=vars)
-
-    @property
-    def text_id(self):
-        out_str = ""
-        for i, pol in enumerate(self.polygons):
-            out_str += f"P{i}={len(pol.points)}:"
-            for j, pt in enumerate(pol.points):
-                out_str += f"(x={round(pt.x, 2)}, y={round(pt.y, 2)}); "
-        return out_str
-
-    @property
-    def length(self):
-        return sum([p.length for p in self.polygons])
-
-    def total_points(self) -> list:
-        return [len(p.points) for p in self.polygons]
-
-    @property
-    def size(self):
-        return sum([len(p.points) for p in self.polygons])
-
-    def plot(
-        self,
-        title=None,
-        legend=False,
-        color=None,
-        grid=False,
-        ax=None,
-        show_coords=False,
-    ):
-        """Visualization with drawn :obj:`Strucrure`
-
-        Args:
-            title: the name of drawing, by default ``None``
-            legend: show legend (id of polygons), by default ``False``
-            color: set special color for all polygons, see variants of colors in `matplotlib documentation`_
-            ax: set name of axes where drown structure has to be part of complicated matplotlib figure,
-             by default `None`
-            show_coords: print coords for every apex of polygon(s) if `True`, by default `False`
-
-        Examples:
-            >>> struct.plot(legend=True)
-
-        Returns:
-            plot: |viz|
-
-        .. |viz| image:: https://i.ibb.co/1q0CVNJ/structure-plot.png
-        .. _matplotlib documentation:
-            https://matplotlib.org/stable/gallery/color/named_colors.html#sphx-glr-gallery-color-named-colors-py
-        """
-
-        for poly in self.polygons:
-            try:
-                poly_id = poly.id
-                poly_id = poly_id.split("-")[-1]
-            except IndexError:
-                poly_id = poly.id
-
-            if ax:
-                x = [point._x for point in poly.points]
-                y = [point._y for point in poly.points]
-
-                ax.plot(x, y, label=poly.id, c=color, marker="o")
-                if show_coords:
-                    ax.scatter(x, y, marker="o", c=color)
-                    text_x = [str(round(x, 1)) for x in x]
-                    text_y = [str(round(y, 1)) for y in y]
-                    for idx, text in enumerate(zip(text_x, text_y)):
-                        ax.annotate(
-                            str(text),
-                            (x[idx] + 0.01, y[idx] + 0.01),
-                            rotation=45.0,
-                            fontsize=8,
-                        )
-            else:
-                x = [point._x for point in poly.points]
-                y = [point._y for point in poly.points]
-                plt.plot(x, y, label=poly.id, c=color, marker="o")
-                if show_coords:
-                    plt.scatter(x, y, marker="o", c=color)
-                    text_x = [str(round(x, 1)) for x in x]
-                    text_y = [str(round(y, 1)) for y in y]
-                    for idx, text in enumerate(zip(text_x, text_y)):
-                        plt.annotate(
-                            str(text),
-                            (x[idx] + 0.01, y[idx] + 0.01),
-                            rotation=45.0,
-                            fontsize=8,
-                        )
-        if legend:
-            plt.legend()
-        if grid:
-            plt.grid()
-        plt.title(title)
-
-
-def get_random_structure(domain) -> Structure:
-    # Creating structure with random number of polygons
-
-    structure = Structure(polygons=[])
-
-    num_pols = randint(domain.min_poly_num, domain.max_poly_num)
-
-    for _ in range(num_pols):
-        polygon = get_random_poly(parent_structure=structure, domain=domain)
-        if polygon is not None and len(polygon.points) > 1:
-            structure.polygons.append(polygon)
-        else:
-            continue
-
-    return structure
-
-
-def get_random_poly(
-    parent_structure: Optional[Structure], domain: Domain
-) -> Optional[Polygon]:
-    geometry = domain.geometry
-    try:
-        """
-        Function for creation random polygon.
-        The main idea is to create centroids along with a neighborhood to locate the polygon.
-        Neighborhood sizes range from small to large.
-        The main condition for creating a neighborhood is the absence of other polygons in it.
-        After setting the neighborhood, polygons are created around the centroid inside the given neighborhood.
-        This approach is less demanding on postprocessing than random creation
-        """
-
-        # Centroid with it neighborhood called occupied area
-        occupied_area = create_area(domain, parent_structure, geometry)
-        if occupied_area is None:
-            # If it was not possible to find the occupied area then returns None
-            return None
-        else:
-            centroid = occupied_area[0]
-            sigma = occupied_area[1]  # Size of neighborhood
-            # The polygon is created relative to the centroid
-            # and the size of the neighborhood
-            polygon = create_poly(centroid, sigma, domain, geometry)
-    except Exception as ex:
-        print(ex)
-        import traceback
-
-        print(traceback.format_exc())
-        return None
-
-    return polygon
-
-
-def get_random_point(
-    polygon: "Polygon", structure: "Structure", domain: "Domain"
-) -> Optional[Point]:
-    # Creating a point to fill the polygon
-
-    centroid = domain.geometry.get_centroid(polygon)
-    sigma = distance(centroid, structure, domain.geometry) / 3
-    point = create_polygon_point(centroid, sigma)
-    max_attempts = 20  # Number of attempts to create in bound point
-    while not in_bound(point, domain):
-        point = create_polygon_point(centroid, sigma)
-        max_attempts -= 1
-        if max_attempts == 0:
-            return None
-    return point
-
-
-def create_poly(
-    centroid: "Point", sigma: int, domain: "Domain", geometry: "Geometry"
-) -> Polygon:
-    # Creating polygon in the neighborhood of the centroid
-    # sigma defines neighborhood
-
-    num_points = randint(
-        domain.min_points_num, domain.max_points_num
-    )  # Number of points in a polygon
-    points = []
-    for _ in range(num_points):
-        point = create_polygon_point(centroid, sigma)  # point in polygon
-        while not in_bound(point, domain):  # checking if a point is in domain
-            point = create_polygon_point(centroid, sigma)
-        points.append(point)
-    if domain.is_closed:
-        points.append(points[0])
-
-    poly = geometry.get_convex(
-        Polygon(polygon_id=str(uuid4()), points=points)
-    )  # avoid self intersection in polygon
-
-    return poly
-
-
-def create_area(domain: "Domain", structure: "Structure", geometry: "Geometry"):
-    n_poly = len(structure.polygons)  # Number of already existing polygons
-    area_size = np.random.randint(low=3, high=15)  # Neighborhood compression ratio
-    sigma = (
-        max(domain.max_x - domain.min_x, domain.max_y - domain.min_y) / area_size
-    )  # Neighborhood size
-    if n_poly == 0:
-        # In the absence of polygons, the centroid can be located anywhere
-        centroid = create_random_point(domain)
-    else:
-        """
-        This procedure allows to find a centroid in the neighborhood
-        of which there are no other polygons.
-        The minimum distance must be less than 2.5 * sigma.
-        """
-        centroid = create_random_point(domain)
-        min_dist = distance(
-            centroid, structure, geometry
-        )  # Distance to the nearest polygon in the structure
-        max_attempts = 20
-        while min_dist < 2.5 * sigma:
-            area_size = np.random.randint(low=3, high=15)
-            sigma = (
-                max(domain.max_x - domain.min_x, domain.max_y - domain.min_y)
-                / area_size
-            )
-            centroid = create_random_point(domain)
-            min_dist = distance(centroid, structure, geometry)
-            if max_attempts == 0:
-                return None
-            max_attempts -= 1
-
-    return centroid, sigma
-
-
-def create_random_point(domain: "Domain") -> Point:
-    point = Point(
-        np.random.uniform(low=domain.min_x, high=domain.max_x),
-        np.random.uniform(low=domain.min_y, high=domain.max_y),
-    )
-    while not in_bound(point, domain):
-        point = Point(
-            np.random.uniform(low=domain.min_x, high=domain.max_x),
-            np.random.uniform(low=domain.min_y, high=domain.max_y),
-        )
-
-    return point
-
-
-def create_polygon_point(centroid: "Point", sigma: int) -> Point:
-    # Creating polygon point inside the neighborhood defined by the centroid
-    point = Point(
-        np.random.normal(centroid.x, sigma, 1)[0],
-        np.random.normal(centroid.y, sigma, 1)[0],
-    )
-
-    return point
-
-
-def in_bound(point: "Point", domain: "Domain") -> bool:
-    poly_domain = Polygon(points=[Point(c[0], c[1]) for c in domain.allowed_area])
-    return domain.geometry.is_contain_point(poly_domain, point)
-
-
-def distance(point: "Point", structure: "Structure", geometry: "Geometry") -> float:
-    polygons = structure.polygons
-    distances = []
-    for poly in polygons:
-        d = geometry.centroid_distance(point, poly)
-        distances.append(d)
-
-    return min(distances)
-
-
-def get_structure_from_path(path: str):
-    """Allows to get structure from ``.pkl``
-
-    Args:
-        path (str): path to ``.pkl`` file contains ``Structure``
-
-    Returns:
-        Structure: structure from file
-    """
-
-    open_file = open(path, "rb")
-    structure = pickle.load(open_file)
-    open_file.close()
-
-    return structure[0]
diff --git a/gefest/core/utils.py b/gefest/core/utils.py
deleted file mode 100644
index f62bb72ec..000000000
--- a/gefest/core/utils.py
+++ /dev/null
@@ -1,6 +0,0 @@
-from pathlib import Path
-
-
-def project_root() -> Path:
-    """Returns project root folder."""
-    return Path(__file__).parent.parent.parent
diff --git a/gefest/core/utils/__init__.py b/gefest/core/utils/__init__.py
new file mode 100644
index 000000000..a1b6ad073
--- /dev/null
+++ b/gefest/core/utils/__init__.py
@@ -0,0 +1,2 @@
+from .functions import project_root, where
+from .parallel_manager import BaseParallelDispatcher
diff --git a/gefest/core/utils/functions.py b/gefest/core/utils/functions.py
new file mode 100644
index 000000000..5fa7129ca
--- /dev/null
+++ b/gefest/core/utils/functions.py
@@ -0,0 +1,53 @@
+import json
+from pathlib import Path
+from typing import Any, Callable
+
+from loguru import logger
+
+from gefest.core.geometry import Structure
+
+
+def project_root() -> Path:
+    """Returns project root folder."""
+    return Path(__file__).parent.parent.parent
+
+
+def parse_structs(path: str) -> list[Structure]:
+    """Generates list of structures from file with dicts.
+
+    Args:
+        path (str): Path to file contains Structure object dumps,
+            splitted with new line.
+
+    Returns:
+        list[Structure]: Serialized population.
+
+    """
+    with open(path, 'r') as file:
+        dict_strings = file.readlines()
+
+    pop = []
+    for dict_string in dict_strings:
+        ind = Structure(**json.loads(dict_string))
+        pop.append(ind)
+
+    return pop
+
+
+@logger.catch
+def where(
+    sequence: list[Any],
+    mask_rule: Callable[[Callable], bool],
+) -> list[int]:
+    """Finds indexes of values in a sequence satisfying the mask_rule.
+
+    Args:
+        sequence (list[Any]): list of values
+        mask_rule (Callable[[Callable], bool]): rule for selecting values
+            (e.g. lambda val: val is not None)
+
+    Returns:
+        list[int]: List of indexes of elements satisfying the condition.
+
+    """
+    return [idx for idx, ind in enumerate(sequence) if mask_rule(ind)]
diff --git a/gefest/core/utils/logger.py b/gefest/core/utils/logger.py
new file mode 100644
index 000000000..9d32b93cd
--- /dev/null
+++ b/gefest/core/utils/logger.py
@@ -0,0 +1,31 @@
+import datetime
+
+from loguru import logger
+from pydantic import RootModel
+
+from gefest.core.geometry import Structure
+
+
+class LogDispatcher:
+    """Makes some logging stuff."""
+
+    def __init__(self, log_dir: str = 'logs', run_name='new_run') -> None:
+        self.timenow = '{date:%Y-%m-%d_%H_%M_%S}'.format(date=datetime.datetime.now())
+        self.log_dir = log_dir
+        self.run_name = run_name
+
+    def log_pop(self, pop: list[Structure], step: str):
+        """Saves provided population to json."""
+        inividual_log_handler = logger.add(
+            f'{self.log_dir}/{self.run_name}_{self.timenow}/{step.zfill(5)}.log',
+            level=4,
+            format='{message}',
+            filter=lambda record: record['level'].name in ['Level 4'],
+        )
+        for ind in pop:
+            dump = RootModel[Structure](ind).model_dump_json(
+                exclude={'polygons': {'__all__': {'points': {'__all__': {'coords'}}}}},
+            )
+            logger.log(4, dump)
+
+        logger.remove(inividual_log_handler)
diff --git a/gefest/core/utils/parallel_manager.py b/gefest/core/utils/parallel_manager.py
new file mode 100644
index 000000000..cc8bce930
--- /dev/null
+++ b/gefest/core/utils/parallel_manager.py
@@ -0,0 +1,67 @@
+from typing import Any, Callable
+
+from joblib import Parallel, cpu_count, delayed
+from loguru import logger
+
+
+class BaseParallelDispatcher:
+    """Provides api for easy to use parallel execution with joblib backernd."""
+
+    def __init__(self, n_jobs: int = -1):
+        """Inits parallel dispatcher.
+
+        Args:
+            n_jobs (int, optional): Set 0 to debug withou joblib.
+                For other values see joblib docs. Defaults to -1.
+
+        """
+        self.n_jobs = self._determine_n_jobs(n_jobs)
+
+    def _determine_n_jobs(self, n_jobs: int = -1):
+        if n_jobs > cpu_count() or n_jobs == -1:
+            n_jobs = cpu_count()
+
+        return n_jobs
+
+    @logger.catch
+    def exec_parallel(
+        self,
+        func: Callable,
+        arguments: list[tuple[Any]],
+        use: bool = True,
+        flatten: bool = True,
+    ) -> list[Any]:
+        """Executes provided function in parallel.
+
+        Args:
+            func (Callable): Function to execute.
+            arguments (list[tuple[Any]]): Each tuple in list is *args for separate func call.
+            use (bool, optional): If True, each arg in args will be used as func argument,
+                otherwise func will be called without arguments len(args) times. Defaults to True.
+            flatten (bool): If true, makes flatten list from function ouput lists.
+
+        Returns:
+            list[Any]
+        """
+        if self.n_jobs == 0:
+            if use:
+                result = [func(*args) for args in arguments]
+            else:
+                result = [func() for _ in arguments]
+        else:
+            parallel = Parallel(n_jobs=self.n_jobs, verbose=0, pre_dispatch='2*n_jobs')
+            if use:
+                result = parallel(delayed(func)(*args) for args in arguments)
+            else:
+                result = parallel(delayed(func)() for _ in arguments)
+
+        if flatten:
+            if not all(isinstance(res, (tuple, list)) for res in result):
+                raise ValueError(
+                    f"""Got an unexpected outputs from {func}.
+                    Got: {[type(res) for res in result]}. Expected tuples or lists.""",
+                )
+
+            result = [item for separate_output in result for item in separate_output]
+
+        return result
diff --git a/gefest/core/viz/struct_vizualizer.py b/gefest/core/viz/struct_vizualizer.py
index f0ec84bdb..baf70821d 100644
--- a/gefest/core/viz/struct_vizualizer.py
+++ b/gefest/core/viz/struct_vizualizer.py
@@ -1,30 +1,35 @@
-from typing import List
-
 import matplotlib.pyplot as plt
-
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Structure
+import moviepy.editor as mp
+from golem.utilities.data_structures import ensure_wrapped_in_sequence
 from matplotlib.lines import Line2D
+from moviepy.video.io.bindings import mplfig_to_npimage
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
 
 
 class StructVizualizer:
-    """The object for mapping a :obj:`Structure` or :obj:`Polygon`
+    """The object for mapping a :obj:`Structure` or :obj:`Polygon`.
+
     Examples:
         >>> from gefest.core.structure.domain import Domain
         >>> from gefest.core.viz.struct_vizualizer import StructVizualizer
         >>> domain = Domain()
         >>> viz = StructVizualizer(domain)
+
     """
 
     def __init__(self, domain: Domain):
         self.domain = domain
 
-    def plot_structure(self, structs: List[Structure], infos, linestyles):
-        """The method displays the given list[obj:`Structure`]
+    def plot_structure(self, structs: list[Structure], domain=None, infos=None, linestyles='-'):
+        """The method displays the given list[obj:`Structure`].
+
         Args:
             structs: the list[obj:`Structure`] for displaying
             infos: the list of data to plot legend for each structure
             linestyles: pyplot linestyles for stuctures
+
         Examples:
             >>> from gefest.core.structure.structure import get_random_structure
             >>> struct_1 = get_random_structure(domain)
@@ -33,39 +38,75 @@ def plot_structure(self, structs: List[Structure], infos, linestyles):
                     [struct_1, struct_2],
                     ['stucture_1', 'stucture_2'],
                     [':', '-'])
+
         Returns:
-            |viz_struct|
-        .. |viz_struct| image::https://ibb.co/fN7XCXh
+            matplotlib.pyplot.figure
         """
+        structs = ensure_wrapped_in_sequence(structs)
+        infos = ensure_wrapped_in_sequence(infos)
 
+        fig = plt.figure()
         for struct, linestyle in zip(structs, linestyles):
+            if self.domain:
+                boundary = self.domain.bound_poly
+                x = [pt.x for pt in boundary.points]
+                y = [pt.y for pt in boundary.points]
+                plt.plot(x, y, 'k')
+                if domain.prohibited_area:
+                    for poly in domain.prohibited_area:
+                        self.plot_poly(poly, '-', color='m')
+
             for poly in struct.polygons:
                 self.plot_poly(poly, linestyle)
 
-            boundary = self.domain.bound_poly
-            x = [pt.x for pt in boundary.points]
-            y = [pt.y for pt in boundary.points]
-
-            plt.plot(x, y)
-
-        lines = [Line2D([0], [0], color='black', linewidth=3, linestyle=style)
-                 for style in linestyles]
+        lines = [
+            Line2D([0], [0], color='black', linewidth=3, linestyle=style) for style in linestyles
+        ]
         plt.legend(lines, infos, loc=2)
+        return fig
+
+    def plot_poly(self, poly, linestyle, **kwargs):
+        """The method displays the given :obj:`Polygon`.
 
-    def plot_poly(self, poly, linestyle):
-        """The method displays the given :obj:`Polygon`
         Args:
             poly: the :obj:`Polygon` for displaying
             linestyle: pyplot linestyles for polygon
+
         Examples:
             >>> from gefest.core.structure.structure import get_random_poly
             >>> struct = get_random_structure(domain)
             >>> poly = struct.polygons[0]
             >>> viz.plot_poly(poly, '-')
-        Returns:
-            .. |viz_poly| image:: https://ibb.co/s31cj3c
+
         """
-        x = [pt.x for pt in poly.points]
-        y = [pt.y for pt in poly.points]
+        x_ = [pt.x for pt in poly]
+        y_ = [pt.y for pt in poly]
+
+        plt.plot(x_, y_, linestyle=linestyle, **kwargs)
+
+
+class GIFMaker(StructVizualizer):
+    """Smple API for saving a series of plots in mp4 with moviepy."""
+
+    def __init__(self, domain) -> None:
+        super().__init__(domain=domain)
+        self.frames = []
+        self.counter = 0
+
+    def create_frame(self, structure, infos):
+        """Appends new frame from given structure."""
+        fig = self.plot_structure(structure, self.domain, infos)
+        numpy_fig = mplfig_to_npimage(fig)
+        self.frames.append(numpy_fig)
+        plt.close()
 
-        plt.plot(x, y, linestyle=linestyle)
+    def make_gif(self, gifname, duration=1500, loop=-1):
+        """Makes mp4 file from collected plots."""
+        clip = mp.ImageSequenceClip(
+            self.frames,
+            durations=[duration] * len(self.frames),
+            fps=1000 / duration,
+        )
+        clip.write_videofile(f'./{gifname}.mp4')
+        self.frames = []
+        self.counter = 0
diff --git a/gefest/tools/__init__.py b/gefest/tools/__init__.py
index e69de29bb..a91ecd46e 100644
--- a/gefest/tools/__init__.py
+++ b/gefest/tools/__init__.py
@@ -0,0 +1 @@
+from gefest.tools.estimators.estimator import Estimator
diff --git a/gefest/tools/estimators/DL/bw_surrogate/bw_cnn.py b/gefest/tools/estimators/DL/bw_surrogate/bw_cnn.py
index 4f35853a6..53bc14730 100644
--- a/gefest/tools/estimators/DL/bw_surrogate/bw_cnn.py
+++ b/gefest/tools/estimators/DL/bw_surrogate/bw_cnn.py
@@ -4,12 +4,11 @@
 
 import matplotlib
 import matplotlib.pyplot as plt
-
 import tensorflow as tf
 from tensorflow import keras
 
-from gefest.core.structure.structure import Structure
 from gefest.core.structure.domain import Domain
+from gefest.core.structure.structure import Structure
 
 matplotlib.use('agg')
 
@@ -18,6 +17,7 @@ class BWCNN:
     """
     ::TODO:: Make abstract version to create own realizations for specific tasks
     """
+
     """
     Surrogate model for breakwaters task
     """
@@ -64,24 +64,16 @@ def _save_as_fig(self, struct: Structure, ax=plt):
             if poly.id == 'tmp':
                 line_x = [point.x for point in poly.points]
                 line_y = [point.y for point in poly.points]
-                ax.plot(line_x,
-                        line_y,
-                        color='white',
-                        linewidth=3)
+                ax.plot(line_x, line_y, color='white', linewidth=3)
             elif poly.id == 'prohibited_area':
                 line_x = [point.x for point in poly.points]
                 line_y = [point.y for point in poly.points]
-                ax.fill(line_x,
-                        line_y,
-                        color='white')
+                ax.fill(line_x, line_y, color='white')
 
             elif poly.id == 'prohibited_poly' or 'prohibited_targets':
                 line_x = [point.x for point in poly.points]
                 line_y = [point.y for point in poly.points]
-                ax.plot(line_x,
-                        line_y,
-                        color='white',
-                        linewidth=1)
+                ax.plot(line_x, line_y, color='white', linewidth=1)
 
         ax.axis('off')
         ax.axis(xmin=0, xmax=self.domain.max_x)
diff --git a/gefest/tools/estimators/DL/heat/heat_cnn.py b/gefest/tools/estimators/DL/heat/heat_cnn.py
index 91ae144f8..a5db965f0 100644
--- a/gefest/tools/estimators/DL/heat/heat_cnn.py
+++ b/gefest/tools/estimators/DL/heat/heat_cnn.py
@@ -1,11 +1,11 @@
-import torchvision.models as models
-import torch
-import matplotlib.pyplot as plt
 import os
-from torchvision import transforms
-import PIL
 
+import matplotlib.pyplot as plt
+import PIL
+import torch
+import torchvision.models as models
 from torch import nn
+from torchvision import transforms
 
 
 class HeatCNN:
@@ -21,8 +21,7 @@ def __init__(self, path):
         super(HeatCNN, self).__init__()
 
         self.model = EffModel()
-        self.model.load_state_dict(
-            torch.load(path, map_location=torch.device('cpu')))
+        self.model.load_state_dict(torch.load(path, map_location=torch.device('cpu')))
 
         self.img_size = 128
 
@@ -51,7 +50,6 @@ def estimate(self, obj):
 
 
 class EffModel(nn.Module):
-
     def __init__(self):
         super(EffModel, self).__init__()
 
@@ -87,6 +85,6 @@ def forward(self, x):
 
         return decoded
 
-    def loss(self, pred, true):
-        out = self.mse(torch.flatten(pred.float()), torch.flatten(true.float()))
+    def loss(self, pred_labels, true_labels):
+        out = self.mse(torch.flatten(pred_labels.float()), torch.flatten(true_labels.float()))
         return out
diff --git a/gefest/tools/estimators/estimator.py b/gefest/tools/estimators/estimator.py
index e5526a670..c2db6b7ed 100644
--- a/gefest/tools/estimators/estimator.py
+++ b/gefest/tools/estimators/estimator.py
@@ -1,39 +1,20 @@
-from typing import Optional, Callable, List
-from gefest.core.structure.structure import Structure
+from abc import ABCMeta, abstractmethod
+from typing import Any
 
+from gefest.core.geometry import Structure
 
-class Estimator:
-    """
-    ::TODO:: make abstract class for further specific realizations in different problems
-    """
 
-    def __init__(self, estimator, loss: Optional[Callable] = None):
-        """
-        Base estimator class, Structure -> Performance
-        :param estimator: estimator with .estimate() method
-        :param loss: function for minimizing, it takes estimator as argument,
-                     if None estimator using as cost function
-        """
-        self.estimator = estimator
-        self.loss = loss
+class Estimator(metaclass=ABCMeta):
+    """Interface for estimation backends, e.g. physical simulators, neural networks."""
 
-    def estimate(self, population: List[Structure]):
-        """
-        Estimation of performance
-        :param population: List(Structure) population of structures for estimation
-        :return: List(Float) performance of population
-        """
-        performance = []
-        size = len(population)
+    def __call__(
+        self,
+        struct: Structure,
+    ) -> Any:
+        """Incapsulates estimate method call for simler estimator usage."""
+        return self.estimate(struct)
 
-        if self.loss:
-            for i in range(size):
-                one_perf = self.loss(population[i], self.estimator)
-                performance.append(one_perf)
-
-        else:
-            for i in range(size):
-                one_perf = self.estimator.estimate(population[i])
-                performance.append(one_perf)
-
-        return performance
+    @abstractmethod
+    def estimate(self, struct: Structure) -> Any:
+        """Must implemet logic of estimation."""
+        ...
diff --git a/gefest/tools/estimators/simulators/comsol/comsol_interface.py b/gefest/tools/estimators/simulators/comsol/comsol_interface.py
index 804db29f2..02a8c982b 100644
--- a/gefest/tools/estimators/simulators/comsol/comsol_interface.py
+++ b/gefest/tools/estimators/simulators/comsol/comsol_interface.py
@@ -1,39 +1,37 @@
 import gc
 import os
-import pickledb
-import numpy as np
-import mph
 import pickle
-
 from uuid import uuid4
-from gefest.core.structure.structure import Structure
 
-os.environ["KMP_DUPLICATE_LIB_OK"] = "TRUE"
+import mph
+import numpy as np
+import pickledb
+
+from gefest.core.geometry import Structure
+from gefest.tools import Estimator
+
+os.environ['KMP_DUPLICATE_LIB_OK'] = 'TRUE'
 USE_AVG_CONST = False
 
 
-class Comsol:
-    """
-    ::TODO:: make abstract class for further specific realizations
-    """
-    """
-    Comsol class for microfluidic problem
-    """
+class Comsol(Estimator):
+    """Comsol wrapper class for microfluidic problem estimation."""
+
+    def __init__(self, path_to_mph: str) -> None:
 
-    def __init__(self, path_to_mph):
-        """
-        :param path_to_mph: (String), path to mph file
-        """
         super(Comsol, self).__init__()
 
         self.client = mph.Client()
         self.path_to_mph = path_to_mph
 
-    def estimate(self, structure: Structure):
-        """
-        Estimation using comsol multiphysics
-        :param structure: (Structure), Structure of polygons
-        :return: (Int), Performance
+    def estimate(self, structure: Structure) -> int:
+        """Estimates  given structure using comsol multiphysics.
+
+        Args:
+            structure (Structure): GEFEST structure.
+
+        Returns:
+            int: Performance.
         """
         gc.collect()
         target, idx = self._load_fitness(structure)
@@ -42,7 +40,7 @@ def estimate(self, structure: Structure):
             if model is None:
                 poly_box = []
                 print('Start COMSOL')
-                for i, pol in enumerate(structure.polygons):
+                for _, pol in enumerate(structure.polygons):
                     poly_repr = []
                     poly_repr.append(' '.join([str(pt.x) for pt in pol.points]))
                     poly_repr.append(' '.join([str(pt.y) for pt in pol.points]))
@@ -52,7 +50,6 @@ def estimate(self, structure: Structure):
 
                 try:
                     model = self._poly_add(model, poly_box)
-
                     model.build()
                     model.mesh()
                     model.solve()
@@ -61,16 +58,16 @@ def estimate(self, structure: Structure):
                     self.client.clear()
                     return 0.0
 
-                idx = self._save_simulation_result(structure, model)
-
             try:
-                outs = [model.evaluate('vlct_1'),
-                        model.evaluate('vlct_2'),
-                        model.evaluate('vlct_3'),
-                        model.evaluate('vlct_4'),
-                        model.evaluate('vlct_5'),
-                        model.evaluate('vlct_side'),
-                        model.evaluate('vlct_main')]
+                outs = [
+                    model.evaluate('vlct_1'),
+                    model.evaluate('vlct_2'),
+                    model.evaluate('vlct_3'),
+                    model.evaluate('vlct_4'),
+                    model.evaluate('vlct_5'),
+                    model.evaluate('vlct_side'),
+                    model.evaluate('vlct_main'),
+                ]
             except Exception as ex:
                 print(ex)
                 self.client.clear()
@@ -91,14 +88,27 @@ def estimate(self, structure: Structure):
                 print('Speed common condition violated')
                 target = 0
 
-            mean_diff = float(np.mean([abs(float(o) / np.mean(outs[0:4]) - 1) * 100 for o in outs[0:4]]))
-            if USE_AVG_CONST and any([abs(float(o) / np.mean(outs[0:4]) - 1) * 100 > 5.0 for o in outs[0:4]]):
-                print('Speed equality violated', [abs(float(o) / np.mean(outs[0:4]) - 1) * 100 for o in outs[0:4]])
+            mean_diff = float(
+                np.mean([abs(float(o) / np.mean(outs[0:4]) - 1) * 100 for o in outs[0:4]]),
+            )
+            if USE_AVG_CONST and any(
+                abs(float(o) / np.mean(outs[0:4]) - 1) * 100 > 5.0 for o in outs[0:4]
+            ):
+                print(
+                    'Speed equality violated',
+                    [abs(float(o) / np.mean(outs[0:4]) - 1) * 100 for o in outs[0:4]],
+                )
                 target = 0
 
             if target > 0:
-                print(round(target, 4), round(mean_diff, 2), [round(_, 4) for _ in outs], round(float(curl)),
-                      round(curv, 4), round(width_ratio, 4))
+                print(
+                    round(target, 4),
+                    round(mean_diff, 2),
+                    [round(_, 4) for _ in outs],
+                    round(float(curl)),
+                    round(curv, 4),
+                    round(width_ratio, 4),
+                )
 
             self.client.clear()
 
@@ -113,13 +123,22 @@ def _poly_add(self, model, polygons):
                 model.java.component('comp1').geom('geom1').create('pol' + str(n + 1), 'Polygon')
             except Exception:
                 pass
-            model.java.component('comp1').geom('geom1').feature('pol' + str(n + 1)).set('x', poly[0])
-            model.java.component('comp1').geom('geom1').feature('pol' + str(n + 1)).set('y', poly[1])
+
+            model.java.component('comp1').geom('geom1').feature('pol' + str(n + 1)).set(
+                'x',
+                poly[0],
+            )
+            model.java.component('comp1').geom('geom1').feature('pol' + str(n + 1)).set(
+                'y',
+                poly[1],
+            )
+
         return model
 
     def _save_simulation_result(self, configuration, model):
         if not os.path.exists('./models'):
             os.mkdir('./models')
+
         model_uid = str(uuid4())
         model.save(f'./models/{model_uid}.mph')
         db = pickledb.load('comsol_db.saved', False)
diff --git a/gefest/tools/estimators/simulators/comsol/microfluid_file/__init__.py b/gefest/tools/estimators/simulators/comsol/microfluid_file/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/gefest/tools/estimators/simulators/sound_wave/sound_interface.py b/gefest/tools/estimators/simulators/sound_wave/sound_interface.py
index cfe314f4f..9abd5318a 100644
--- a/gefest/tools/estimators/simulators/sound_wave/sound_interface.py
+++ b/gefest/tools/estimators/simulators/sound_wave/sound_interface.py
@@ -1,27 +1,34 @@
 import itertools
+from copy import deepcopy
+
+import numba as nb
 import numpy as np
+from numpy import ndarray
 from numpy.core.umath import pi
-from tqdm import tqdm
-from copy import deepcopy
-from skimage.draw import random_shapes, polygon as skipolygon
+from skimage.draw import polygon as skipolygon
+from skimage.draw import random_shapes
+
+from gefest.core.geometry import Structure
+from gefest.tools import Estimator
 
 # initial values
-damping = 1 - 0.001
-ca2 = 0.5
-initial_P = 200
-max_pressure = initial_P / 2
-min_presure = -initial_P / 2
+DAMPING = 1 - 0.001
+CA2 = 0.5
+INITIAL_P = 200
+MAX_PRESSURE = INITIAL_P / 2
+MIN_PRESSURE = -INITIAL_P / 2
 
 
 def generate_map(domain, structure):
-    """Generates obstacke map according to polygons in structure inside of domain borders
+    """Generates obstacke map according to polygons in structure inside of domain borders.
 
-    Parameters:
+    Args:
         domain(Domain): shape of the map to generate
         structure (Structure): structure for shaping obstacles
+
     Returns:
-        obstacle_map (np.array): array shaped as domain area, containing polygons as
-                            obstacles.
+        obstacle_map (np.array): array shaped as domain area, containing polygons as obstacles.
+
     """
     map_size = (round(1.2 * domain.max_y), round(1.2 * domain.max_x))
     observed_structure = deepcopy(structure)
@@ -38,12 +45,15 @@ def generate_map(domain, structure):
     return obstacle_map
 
 
-def generate_random_map(map_size, random_seed):
+def generate_random_map(map_size: tuple[int, int], random_seed: int):
     """Randomly generate an array of zeros (free media) and ones (obstacles).
+
     The obstacles have basic geometric shapes.
-    Parameters:
+
+    Args:
         map_size(tuple): shape of the map to generate
         random_seed (int): random seed for random generation of obstacles
+
     Returns:
         random_map (np.array): array shaped as map_size, containing random obstacles
     """
@@ -66,7 +76,10 @@ def generate_random_map(map_size, random_seed):
     # Force free media in a square of 20x20 at the center of the map
     width_center = map_size[0] // 2
     length_center = map_size[1] // 2
-    obstacle_map[width_center - 20:width_center + 21, length_center - 20:length_center + 21] = 255
+    obstacle_map[
+        width_center - 20 : width_center + 21,
+        length_center - 20 : length_center + 21,
+    ] = 255
     free_media = obstacle_map == 255
     # Obstacles = 1, free media = 0
     obstacles = obstacle_map == 0
@@ -75,12 +88,72 @@ def generate_random_map(map_size, random_seed):
     return obstacle_map
 
 
-class SoundSimulator:
-    """Class for the configuration and simulation of sound propagation in a map
-    with obstacles.
+@nb.jit(nopython=True, fastmath=True)
+def _upd_v(v_, p_, i, j, size_x, size_y):
+    v_[i, j, 0] = v_[i, j, 0] + p_[i, j] - p_[i - 1, j] if i > 0 else p_[i, j]
+    v_[i, j, 1] = v_[i, j, 1] + p_[i, j] - p_[i, j + 1] if j < size_x - 1 else p_[i, j]
+    v_[i, j, 2] = v_[i, j, 2] + p_[i, j] - p_[i + 1, j] if i < size_y - 1 else p_[i, j]
+    v_[i, j, 3] = v_[i, j, 3] + p_[i, j] - p_[i, j - 1] if j > 0 else p_[i, j]
+    return v_
+
+
+def update_velocity(
+    velocities: np.ndarray,
+    pressure: np.ndarray,
+    obstacle_map: np.ndarray,
+    size_x: int,
+    size_y: int,
+):
+    """Update the velocity field based on Komatsuzaki's transition rules."""
+    for i, j in itertools.product(range(size_y), range(size_x)):
+        if obstacle_map[i, j] == 1:
+            velocities[i, j, :] = 0.0
+            continue
+
+        velocities = _upd_v(velocities, pressure, i, j, size_x, size_y)
+
+    return velocities
+
+
+@nb.jit(nopython=True, fastmath=True)
+def update_perssure(pressure, velocities):
+    """Update the pressure field based on Komatsuzaki's transition rules."""
+    return pressure - CA2 * DAMPING * np.sum(velocities, axis=2)
+
+
+@nb.jit(nopython=True, fastmath=True)
+def _upd_p(omega, iteration):
+    return INITIAL_P * np.sin(omega * iteration)
+
+
+def eval_spl(pressure_hist, integration_interval=60):
+    """Computes the sound pressure level map.
+
+    https://en.wikipedia.org/wiki/Sound_pressure#Sound_pressure_level
+
+    Args:
+        integration_interval (int): interval over which the rms pressure
+                                        is computed, starting from the last
+                                        simulation iteration backwards.
+
+    Returns:
+        spl (np.array): map of sound pressure level (dB).
+    """
+    if integration_interval > pressure_hist.shape[0]:
+        integration_interval = pressure_hist.shape[0]
+
+    rms_p = np.sqrt(np.mean(np.square(pressure_hist[-integration_interval:-1]), axis=0))
+
+    return 20 * np.log10(rms_p / (20 * 10e-6))
+
+
+class SoundSimulator(Estimator):
+    """Class for the configuration and simulation of sound propagation in a map with obstacles.
+
     Adapted from https://github.com/Alexander3/wave-propagation
     Based on Komatsuzaki T. "Modelling of Incident Sound Wave Propagation
     around Sound Barriers Using Cellular Automata" (2012)
+
     Attributes:
         map_size (tuple): size of the map
         obstacle_map (np.array): free media = 0, obstacles = 1. If the given
@@ -94,22 +167,22 @@ class SoundSimulator:
         _velocities (np.array): velocity field at current iteration.
     """
 
-    def __init__(self, domain, obstacle_map=None):
+    def __init__(self, domain, duration=200, obstacle_map=None):
         self.omega = 3 / (2 * pi)
         self.iteration = 0
         self.domain = domain
         self.map_size = (round(1.2 * domain.max_y), round(1.2 * domain.max_x))
         self.size_y, self.size_x = self.map_size
-        self.duration = 150
+        self.duration = duration
         # obstacle_map handling
         if (
             obstacle_map is not None
             and (obstacle_map.shape[0], obstacle_map.shape[1]) == self.map_size
         ):
-            print("** Map Accepted **")
+            print('** Map Accepted **')
             self.obstacle_map = obstacle_map
         elif obstacle_map is not None and obstacle_map.shape != self.map_size:
-            print("** Map size denied **")
+            print('** Map size denied **')
             self.obstacle_map = np.zeros((self.size_y, self.size_x))
         else:
             self.obstacle_map = np.zeros((self.size_y, self.size_x))
@@ -121,77 +194,34 @@ def __init__(self, domain, obstacle_map=None):
         # outflow velocities from each cell
         self._velocities = np.zeros((self.size_y, self.size_x, 4))
 
-    def updateV(self):
-        """Update the velocity field based on Komatsuzaki's transition rules."""
-        V = self._velocities
-        P = self.pressure
-        for i, j in itertools.product(range(self.size_y), range(self.size_x)):
-            if self.obstacle_map[i, j] == 1:
-                V[i, j, 0] = V[i, j, 1] = V[i, j, 2] = V[i, j, 3] = 0.0
-                continue
-            cell_pressure = P[i, j]
-            V[i, j, 0] = (
-                V[i, j, 0] + cell_pressure - P[i - 1, j] if i > 0 else cell_pressure
-            )
-            V[i, j, 1] = (
-                V[i, j, 1] + cell_pressure - P[i, j + 1]
-                if j < self.size_x - 1
-                else cell_pressure
-            )
-            V[i, j, 2] = (
-                V[i, j, 2] + cell_pressure - P[i + 1, j]
-                if i < self.size_y - 1
-                else cell_pressure
-            )
-            V[i, j, 3] = (
-                V[i, j, 3] + cell_pressure - P[i, j - 1] if j > 0 else cell_pressure
-            )
-
-    def updateP(self):
-        """Update the pressure field based on Komatsuzaki's transition rules."""
-        self.pressure -= ca2 * damping * np.sum(self._velocities, axis=2)
-
-    def step(self):
+    def step(self, velocities, pressure, obstacle_map):
         """Perform a simulation step, upadting the wind an pressure fields."""
-        self.pressure[self.s_y, self.s_x] = initial_P * np.sin(
-            self.omega * self.iteration
-        )
-        self.updateV()
-        self.updateP()
+        pressure[self.s_x, self.s_y] = _upd_p(self.omega, self.iteration)
+        velocities = update_velocity(velocities, pressure, obstacle_map, self.size_x, self.size_y)
+        pressure = update_perssure(pressure, velocities)
         self.iteration += 1
+        return velocities, pressure
+
+    def estimate(self, structure: Structure) -> ndarray:
+        """Estimates sound pressule level for provided structure.
+
+        Args:
+            structure (Structure): optimized structure
 
-    def spl(self, integration_interval=60):
-        """Compute the sound pressure level map.
-        https://en.wikipedia.org/wiki/Sound_pressure#Sound_pressure_level
-        Parameters:
-            integration_interval (int): interval over which the rms pressure
-                                        is computed, starting from the last
-                                        simulation iteration backwards.
         Returns:
-            spl (np.array): map of sound pressure level (dB).
+            ndarray: map of sound pressure level (dB)
         """
-        p0 = 20 * 10e-6  # Pa
-        if integration_interval > self.pressure_hist.shape[0]:
-            integration_interval = self.pressure_hist.shape[0]
-        rms_p = np.sqrt(
-            np.mean(np.square(self.pressure_hist[-integration_interval:-1]), axis=0)
-        )
-
-        matrix_db = 20 * np.log10(rms_p / p0)
-        return matrix_db
-
-    def run(self):
-        for iteration in tqdm(range(self.duration)):
-            self.pressure_hist[iteration] = deepcopy(self.pressure)
-            self.step()
-
-    def estimate(self, structure):
-        self.obstacle_map = generate_map(self.domain, structure)
-        self.run()
-        spl = self.spl()
+        self.iteration = 0
+        obstacle_map = np.zeros((self.size_y, self.size_x))
+        obstacle_map = generate_map(self.domain, structure)
+        pressure = np.zeros((self.size_y, self.size_x))
+        pressure_hist = np.zeros((self.duration, self.size_y, self.size_x))
+        velocities = np.zeros((self.size_y, self.size_x, 4))
 
-        self.pressure = np.zeros((self.size_y, self.size_x))
-        self.pressure_hist = np.zeros((self.duration, self.size_y, self.size_x))
-        self._velocities = np.zeros((self.size_y, self.size_x, 4))
+        for iteration in range(self.duration):
+            pressure_hist[iteration] = deepcopy(pressure)
+            velocities, pressure = self.step(velocities, pressure, obstacle_map)
+
+        spl = eval_spl(pressure_hist)
 
         return spl
diff --git a/gefest/tools/estimators/simulators/swan/swan_interface.py b/gefest/tools/estimators/simulators/swan/swan_interface.py
index 2252eac66..88df5059a 100644
--- a/gefest/tools/estimators/simulators/swan/swan_interface.py
+++ b/gefest/tools/estimators/simulators/swan/swan_interface.py
@@ -1,87 +1,86 @@
-import copy
-import numpy as np
 import subprocess
+from pathlib import Path
+
+import numpy as np
+from loguru import logger
 
-from gefest.core.structure.structure import Structure
+from gefest.core.geometry import Structure
+from gefest.tools import Estimator
 
 
-class Swan:
+class Swan(Estimator):
+    """Class for SWAN estimator."""
 
-    def __init__(self, path, targets, grid, domain,
-                 input_file_path="bw_example_cfg",
-                 hs_file_path="r/hs47dd8b1c0d4447478fec6f956c7e32d9.d"):
+    def __init__(
+        self,
+        path,
+        targets,
+        grid,
+        domain,
+        input_file_path='INPUT',
+        hs_file_path='r/hs47dd8b1c0d4447478fec6f956c7e32d9.d',
+    ):
         self.path_to_model = path
         self.path_to_input = path + input_file_path
         self.path_to_hs = path + hs_file_path
         self.targets = targets
         self.grid = grid
         self.domain = domain
-        self._grid_configuration()
-
-    def _grid_configuration(self):
-
-        file_to_read = open(self.path_to_input, 'r')
-        content_read = file_to_read.read()
-
-        for_replace = ['xpc', 'xlenc', 'ypc', 'ylenc', 'mxc', 'myc']
-        content_for_add = [self.domain.min_x,
-                           self.domain.max_x,
-                           self.domain.min_y,
-                           self.domain.max_y,
-                           self.grid[0],
-                           self.grid[1]]
 
-        new_content = copy.deepcopy(content_read)
-        for replace, content in zip(for_replace, content_for_add):
-            content_to_replace = replace + '=' + str(content)
-            start = new_content.find(replace)
-            end = new_content[start:].find(' ')
-            content_write = new_content.replace(
-                new_content[start:start + end], content_to_replace)
-            new_content = content_write
-        file_to_read.close()
+    def estimate(self, struct: Structure) -> float:
+        """Function to estimate wave high.
 
-        file_to_write = open(self.path_to_input, 'w')
-        file_to_write.writelines(new_content)
-        file_to_write.close()
+        :param struct: Structure with polygons
 
-    def estimate(self, struct: 'Structure'):
+        :return: metric of wave high
+        """
         polygons = struct.polygons
-        file_to_read = open(self.path_to_input, 'r')
-        content_read = file_to_read.read()
 
-        for_input = '\nOBSTACLE TRANSM 0. REFL 0. LINE '
-        num_of_polygons = len(polygons)
-        for j, poly in enumerate(polygons):
-            num_of_points = len(2 * poly.points)
-            points = np.array([p.coords()[:2] for p in poly.points])
-            individ = points.reshape(-1)
-            for i, gen in enumerate(individ):
-                if (i + 1) % 2 == 0:
-                    if (i + 1) == num_of_points:
-                        for_input += str(self.domain.max_y - gen)
-                    else:
-                        for_input += str(self.domain.max_y - gen) + ', '
-                else:
-                    for_input += str(gen) + ', '
-
-            if j == (num_of_polygons - 1):
-                for_input += '\n$optline'
-            else:
-                for_input += '\nOBSTACLE TRANSM 0. REFL 0. LINE '
-
-        content_to_replace = for_input
-        content_write = content_read.replace(
-            content_read[content_read.find('\n\n\n') + 3:content_read.rfind('\n$optline') + 9], content_to_replace)
-        file_to_read.close()
-
-        file_to_write = open(self.path_to_input, 'w')
-        file_to_write.writelines(content_write)
-        file_to_write.close()
-
-        subprocess.run('swan.exe', shell=True, cwd=self.path_to_model)
+        file_toread = self.path_to_input + '_2'
+        with open(file_toread, 'r') as file_to_read:
+            content_read = file_to_read.read()
+            file_to_read.close()
+            for _j, poly in enumerate(polygons):
+                for_input = '\nOBSTACLE TRANSM 0. REFL 0. LINE '
+                points = np.array([p.coords[:2] for p in poly.points])
+                individ = points.reshape(-1)
+                for i, gen in enumerate(individ):
+                    for_input += '{:.6f}'.format(gen / 500)
+                    if i != len(individ) - 1:
+                        for_input += ', '
+
+            for_input += '\n$optline'
+            content_to_replace = for_input
+            content_write = content_read.replace(
+                content_read[
+                    content_read.find('OBSTACLE') - 1 : content_read.rfind('$optline') + 10
+                ],
+                content_to_replace,
+            )
+
+        input_created = Path(self.path_to_input)
+        input_created.touch(exist_ok=True)
+        with open(self.path_to_input, 'w') as file_to_write:
+            file_to_write.write(content_write)
+
+        logger.info('Swan estimation started...')
+        subprocess.run(
+            'swan.exe',
+            shell=True,
+            cwd=self.path_to_model,
+            stdout=subprocess.DEVNULL,
+        )
+        logger.info('Swan estimation finished.')
 
         z = np.loadtxt(self.path_to_hs)
-        hs_target = np.sum([z[target[0], target[1]] for target in self.targets])
+        res = []
+        for i in range(1538 // 32):
+            hs_target = np.sum(
+                [z[i * 32 : (i + 1) * 32][target[0], target[1]] for target in self.targets],
+            )
+
+            res.append(hs_target)
 
-        return z, hs_target
+        hs_target = sum(res) / len(res)
+        print('hs_target', hs_target)
+        return hs_target
diff --git a/gefest/tools/estimators/simulators/swan/swan_model/swaninit b/gefest/tools/estimators/simulators/swan/swan_model/swaninit
index f3c1ad578..4bd7abf14 100644
--- a/gefest/tools/estimators/simulators/swan/swan_model/swaninit
+++ b/gefest/tools/estimators/simulators/swan/swan_model/swaninit
@@ -1,7 +1,7 @@
     4                                   version of initialisation file
 Delft University of Technology          name of institute
     3                                   command file ref. number
-bw_example_cfg                                      command file name
+INPUT                                   command file name
     4                                   print file ref. number
 PRINT                                   print file name
     4                                   test file ref. number
diff --git a/gefest/tools/optimizers/GA/GA.py b/gefest/tools/optimizers/GA/GA.py
index 7c2fe4131..517e5b62d 100644
--- a/gefest/tools/optimizers/GA/GA.py
+++ b/gefest/tools/optimizers/GA/GA.py
@@ -1,26 +1,79 @@
-from gefest.tools.optimizers.GA.base_GA import BaseGA
+from typing import Callable
+from venv import logger
 
+from tqdm import tqdm
+
+from gefest.core.geometry import Structure
+from gefest.core.opt import strategies
+from gefest.core.opt.objective.objective_eval import ObjectivesEvaluator
+from gefest.tools.optimizers.optimizer import Optimizer
+
+
+class BaseGA(Optimizer):
+    """Implemets default genetic optimization algorithm steps.
+
+    Can be used as base class for others GA based optimizers.
+    Can be configured using modules with different realization of operations,
+    e.g. crossover, mutation, selection operations or crossover, mutation strategies.
 
-class GA(BaseGA):
-    """The class uses genetic algorithm during optimization process.
-    Args:
-        BaseGA (Callable): parent abstract class with main optimization methods
     """
 
-    def step(self, population, performance, verbose=True, **kwargs):
-        self.init_populations(population)
-        self.init_fitness(performance)
+    def __init__(
+        self,
+        opt_params,
+        initial_population=None,
+        **kwargs,
+    ):
+        super().__init__(opt_params.log_dispatcher)
+        self.opt_params = opt_params
+        self.crossover = getattr(strategies, opt_params.crossover_strategy)(opt_params=opt_params)
+        self.mutation = getattr(strategies, opt_params.mutation_strategy)(opt_params=opt_params)
+        self.sampler: Callable = opt_params.sampler
+        self.objectives_evaluator: ObjectivesEvaluator = ObjectivesEvaluator(
+            opt_params.objectives,
+            opt_params.estimation_n_jobs,
+        )
+        self.pop_size = opt_params.pop_size
+        self.n_steps = opt_params.n_steps
+        self.domain = self.opt_params.domain
+        if initial_population:
+            self._pop = initial_population
+        else:
+            self._pop: list[Structure] = self.sampler(self.opt_params.pop_size)
+
+        self._pop = self.objectives_evaluator(self._pop)
+
+        self.selector: Callable = opt_params.selector.value
+        if len(self.opt_params.objectives) > 1:
+            if self.opt_params.multiobjective_selector.__name__ == 'MOEAD':
+                self.opt_params.extra = 0
+                logger.warning('For moead extra not available.')
 
-        selected = self.tournament_selection()
-        self._pop = sorted(selected, key=lambda x: x.fitness)
+            self.selector = self.opt_params.multiobjective_selector(
+                single_demention_selection=self.selector,
+                init_pop=self._pop,
+                moead_n_neighbors=self.opt_params.moead_multi_objective_selector_neighbors,
+                steps=self.n_steps,
+            )
 
-        un_pop = set()
-        self._pop = \
-            [un_pop.add(str(ind.genotype)) or ind for ind in self._pop
-             if str(ind.genotype) not in un_pop]
+        self.log_dispatcher.log_pop(self._pop, '00000_init')
 
-        self._pop.extend(self.reproduce(self._pop))
+    def optimize(self) -> list[Structure]:
+        """Optimizes population.
 
-        population = [ind.genotype for ind in self._pop]
+        Returns:
+            list[Structure]: Optimized population.
+        """
+        pbar = tqdm(range(self.n_steps))
+        for step in pbar:
+            pbar.set_description(f'Best fitness: {self._pop[0].fitness}')
+            self._pop = self.selector(self._pop, self.pop_size)
+            child = self.crossover(self._pop)
+            mutated_child = self.mutation(child)
+            self._pop.extend(mutated_child)
+            self._pop.extend(self.sampler(self.opt_params.extra))
+            self._pop = self.objectives_evaluator(self._pop)
+            self.log_dispatcher.log_pop(self._pop, str(step + 1))
 
-        return population
+        pbar.set_description(f'Best fitness: {self._pop[0].fitness}')
+        return self._pop
diff --git a/gefest/tools/optimizers/GA/base_GA.py b/gefest/tools/optimizers/GA/base_GA.py
deleted file mode 100644
index 1983cfcaf..000000000
--- a/gefest/tools/optimizers/GA/base_GA.py
+++ /dev/null
@@ -1,121 +0,0 @@
-import copy
-import math
-from random import randint
-
-import numpy as np
-
-from gefest.core.opt.individual import Individual
-from gefest.core.opt.setup import Setup
-from gefest.core.viz.struct_vizualizer import StructVizualizer
-
-
-class BaseGA:
-    """The base optimization class.
-    The class contains basic optimization functions which allow to use different
-    way of optimization algorithm via legacy from the :obj:`class BaseGA`.
-    """
-
-    def __init__(self, params,
-                 evolutionary_operators,
-                 task_setup: Setup):
-        """
-         Genetic algorithm (GA)
-        """
-
-        self.params = params
-
-        self.operators = evolutionary_operators
-
-        self.task_setup = task_setup
-
-        self.__init_operators()
-        self._pop = []
-
-        self.visualiser = StructVizualizer(self.task_setup.domain)
-
-    def __init_operators(self):
-        self.crossover = self.operators.crossover
-        self.mutation = self.operators.mutation
-
-    def init_populations(self, population):
-        self._pop = [Individual(genotype=gen) for gen in population]
-
-    def init_fitness(self, performance):
-        for i, ind in enumerate(self._pop):
-            ind.fitness = performance[i]
-        self._pop = [ind for ind in self._pop if ind.fitness is not None]
-
-    def init_performance(self, performance):
-        for i, ind in enumerate(self._pop):
-            ind.objectives = performance[i]
-        self._pop = [ind for ind in self._pop if ind is not None]
-        self.initial_graphs = self._pop
-
-    class Params:
-        def __init__(self, pop_size, crossover_rate, mutation_rate, mutation_value_rate):
-            self.pop_size = pop_size
-            self.crossover_rate = crossover_rate
-            self.mutation_rate = mutation_rate
-            self.mutation_value_rate = mutation_value_rate
-
-    def solution(self, verbose=True, **kwargs):
-        """Method for finding a solution via choosen algorithm
-        Args:
-            verbose: Full description of finding the best solution if ``True``, otherwise - ``False``. Defaults to True.
-        """
-        pass
-
-    def random_selection(self, group_size):
-        return [self._pop[randint(0, len(self._pop) - 1)] for _ in range(group_size)]
-
-    def tournament_selection(self, fraction=0.25):
-        """The method allows to select the best ones from whole population
-        Args:
-            fraction: value for separating the best part of population from another. Defaults to 0.1.
-        Returns:
-            The best individuals from given population. Their number is equal to ``'initial_number' * fraction``
-        """
-        group_size = math.ceil(len(self._pop) * fraction)
-        min_group_size = 2 if len(self._pop) > 1 else 1
-        group_size = max(group_size, min_group_size)
-        chosen = []
-        n_iter = 0
-        while len(chosen) < self.params.pop_size:
-            n_iter += 1
-            group = self.random_selection(group_size)
-            best = min(group, key=lambda ind: ind.fitness)
-            if best not in chosen:
-                chosen.append(best)
-            elif n_iter > self.params.pop_size + 100:
-                n_iter = 0
-                rnd = self._pop[randint(0, len(self._pop) - 1)]
-                chosen.append(rnd)
-        return chosen
-
-    def reproduce(self, selected):
-        """The method imitatess evolutionory reproduce process via apply
-        `crossover` and `mutation` to given undividuals from population.
-        Args:
-            selected : the set of inviduals for reproducing
-        Returns:
-            reprodused individuals
-        """
-        children = []
-        np.random.shuffle(selected)
-        for pair_index in range(0, len(selected) - 1):
-            p1 = selected[pair_index]
-            p2 = selected[pair_index + 1]
-
-            child_gen = self.crossover(s1=p1.genotype, s2=p2.genotype,
-                                       domain=self.task_setup.domain,
-                                       rate=self.params.crossover_rate)
-
-            child_gen = self.mutation(structure=child_gen,
-                                      domain=self.task_setup.domain,
-                                      rate=self.params.mutation_rate)
-
-            if str(child_gen) != str(p1.genotype) and str(child_gen) != str(p2.genotype):
-                child = Individual(genotype=copy.deepcopy(child_gen))
-                children.append(child)
-
-        return children
diff --git a/gefest/tools/optimizers/SPEA2/SPEA2.py b/gefest/tools/optimizers/SPEA2/SPEA2.py
deleted file mode 100644
index a7262d63c..000000000
--- a/gefest/tools/optimizers/SPEA2/SPEA2.py
+++ /dev/null
@@ -1,186 +0,0 @@
-import numpy as np
-import pickle
-
-from gefest.tools.optimizers.GA.base_GA import BaseGA
-
-
-class SPEA2(BaseGA):
-    """
-    SPEA2 algorithm realization
-    In this algorithm performance is multi-dimension
-    """
-
-    def __init__(self, **kwargs):
-        super().__init__(**kwargs)
-        self.arch_size = int(self.params.pop_size / 2)  # Archive size
-        self.archive = []  # Archive population
-
-        self.n_criteria = 0  # Number of criteria
-
-    def init_performance(self, performance):
-        """
-        Assign each objects its performance
-        :param performance: (List[List]) multi dimension performance
-        :return: None
-        """
-        for i, ind in enumerate(self._pop):
-            ind.objectives = performance[i]
-        self._pop = [ind for ind in self._pop if ind.objectives is not None]
-
-    def dominate(self, i, j):
-        """
-        Checking if i dominates j
-        :param i: Int, index of first individ in pop + arch
-        :param j: Int, index of second individ in pop + arch
-        :return: (Bool) True if i dominate j else False
-        """
-        ind1 = self._pop[i]
-        ind2 = self._pop[j]
-
-        for i in range(self.n_criteria):
-            if ind1.objectives[i] <= ind2.objectives[i]:
-                continue
-            else:
-                return False
-
-        return True
-
-    def strength(self):
-        """
-        Calculating strength for each individ in pop and arch
-        :return: (List(Int)) strength of each individ
-        """
-        strength = []
-
-        for i in range(len(self._pop)):
-            count = 0
-            for j in range(len(self._pop)):
-                if j == i:
-                    continue
-                if self.dominate(i, j):
-                    count += 1
-            strength.append(count)
-
-        return strength
-
-    def raw(self):
-        """
-        Calculating raw for pop and arch
-        :return: (List(Int)) raw of each individ
-        """
-        raw = []
-        strength = self.strength()
-
-        for i in range(len(self._pop)):
-            count = 0
-            for j in range(len(self._pop)):
-                if j == i:
-                    continue
-                if self.dominate(j, i):
-                    count += strength[j]
-            raw.append(count)
-
-        return raw
-
-    def density(self):
-        """
-        Calculating density
-        :return: (List(float)) density of each individ in pop + arch
-        """
-        density = []
-        k = 0
-
-        for i in range(len(self._pop)):
-            distance = []
-            first_point = np.array(self._pop[i].objectives)
-            for j in range(len(self._pop)):
-                if j == i:
-                    continue
-                second_point = np.array(self._pop[j].objectives)
-                distance.append(np.linalg.norm(first_point - second_point))
-            sorted_dist = np.sort(distance)
-            density.append(1 / (sorted_dist[k] + 2))
-
-        return density
-
-    def calculate_fitness(self):
-        """
-        Calculating SPEA2 fitness function
-        fitness = raw + density
-        :return: None
-        """
-        self._pop = self._pop + self.archive
-
-        raw = self.raw()
-        density = self.density()
-        fitness = [raw[i] + density[i] for i in range(len(self._pop))]
-
-        self.init_fitness(fitness)
-
-    def environmental_selection(self):
-        """
-        Updating archive population via environmental selection procedure
-        :return: (None)
-        """
-        self.archive = [ind for ind in self._pop if ind.fitness < 1]
-
-        # First case, adding remaining best individs
-        if len(self.archive) < self.arch_size:
-            sorted_pop = sorted(self._pop, key=lambda x: x.fitness)
-            idx = 0
-            while len(self.archive) != self.arch_size:
-                if sorted_pop[idx].fitness >= 1:
-                    self.archive.append(sorted_pop[idx])
-                idx += 1
-
-        # Second case, deleting using truncation procedure
-        elif len(self.archive) > self.arch_size:
-            arch_obj = sorted([(ind.objectives[0], ind) for ind in self._pop], key=lambda x: x[0])[:self.arch_size]
-            self.archive = [ind[1] for ind in arch_obj]
-
-    def _save_archive(self, n):
-        with open(f'HistoryFiles/archive_{n}.pickle', 'wb') as handle:
-            pickle.dump(self.archive, handle, protocol=pickle.HIGHEST_PROTOCOL)
-
-    def step(self, population, performance, n_step, is_last=False):
-        """
-        One step of optimization procedure
-        :param population: (List[Structure]) population of structures
-        :param performance: (List[List]) multi dimension performance
-        :param n_step: (Int) number of step
-        :param is_last: (Optional(Bool)) check for last step in generative design procedure
-        :return: (List[Structure]) optimized population
-        """
-        assert len(performance[0]) > 1, 'Performance must be multi-dimension in SPEA2!'
-
-        self.n_criteria = len(performance[0])
-
-        self.init_populations(population)
-        self.init_performance(performance)
-
-        # Step 1, fitness assignment
-        self.calculate_fitness()
-
-        # Step 2, environmental selection
-        self.environmental_selection()
-
-        self._save_archive(n_step)
-
-        # Step 3, check for last step (termination)
-        if is_last:
-            return self.archive
-
-        # Step 4, mating selection
-        selected = self.tournament_selection()
-        self._pop = sorted(selected, key=lambda x: x.fitness)
-
-        # Step 5, variation (genetic operators step)
-        un_pop = set()
-        self._pop = \
-            [un_pop.add(str(ind.genotype)) or ind for ind in self._pop
-             if str(ind.genotype) not in un_pop]
-        self._pop = self.reproduce(self._pop)
-
-        population = [ind.genotype for ind in self._pop]
-
-        return population
diff --git a/gefest/tools/optimizers/SPEA2/__init__.py b/gefest/tools/optimizers/SPEA2/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/gefest/tools/optimizers/__init__.py b/gefest/tools/optimizers/__init__.py
index e69de29bb..b41605c18 100644
--- a/gefest/tools/optimizers/__init__.py
+++ b/gefest/tools/optimizers/__init__.py
@@ -0,0 +1,13 @@
+from enum import Enum
+
+from .GA.GA import BaseGA
+from .golem_optimizer.standard import StandardOptimizer
+from .golem_optimizer.surrogate import SurrogateOptimizer
+
+
+class OptimizerTypes(Enum):
+    """Enumeration of all optimizers."""
+
+    gefest_ga = BaseGA
+    golem_optimizer = StandardOptimizer
+    golem_surrogate = SurrogateOptimizer
diff --git a/gefest/tools/optimizers/golem_optimizer/age.py b/gefest/tools/optimizers/golem_optimizer/age.py
deleted file mode 100644
index 671769c4f..000000000
--- a/gefest/tools/optimizers/golem_optimizer/age.py
+++ /dev/null
@@ -1,290 +0,0 @@
-import numpy as np
-
-from golem.core.optimisers.genetic.gp_optimizer import EvoGraphOptimizer
-
-from gefest.core.opt.individual import Individual
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.GA.base_GA import BaseGA
-
-
-class AGE(EvoGraphOptimizer, BaseGA):
-    """
-    GOLEM based optimizer of GEFEST structures
-    """
-
-    def __init__(self,
-                 adapter,
-                 mutation_rate,
-                 crossover_rate,
-                 pop_size,
-                 task_setup,
-                 params):
-        EvoGraphOptimizer.__init__(self, **params)
-
-        self.params = BaseGA.Params(pop_size=pop_size,
-                                    crossover_rate=crossover_rate,
-                                    mutation_rate=mutation_rate,
-                                    mutation_value_rate=[])
-        BaseGA.__init__(self, self.params,
-                        default_operators(),
-                        task_setup)
-
-        self._pop = None
-        self._fronts = None
-
-        self.num_of_individuals = pop_size
-
-        self.adapter = adapter
-
-        self.golem_params = {}
-
-    def step(self, population, performance, n_step):
-        """
-        One step of optimization procedure
-        :param population: (List[Structure]) population of structures
-        :param performance: (List[float]) performance of the population
-        :return: (List[Structure]) optimized population
-        """
-        # 0. Transformation List[Structure] -> Seq[OptGraph]
-        # graph_pop = [self.adapter.adapt(struct) for struct in population]
-        graph_pop = population
-
-        # 1. Initializations
-        #self.__init_operators()
-        self.init_populations(graph_pop)
-        self.init_performance(performance)
-
-        self._evolve_population()
-
-        population = [ind.genotype for ind in self._pop if len(ind.genotype.polygons) != 0]
-
-        return population
-
-    def _evolve_population(self, **kwargs):
-        """ Method realizing full evolution cycle """
-        self._pop = self.calculate_fitness_and_select()
-        self._pop.extend(self.reproduce(self._pop))
-
-        return self._pop
-
-    # --------------------------------------------------
-    def calculate_fitness_and_select(self):
-        self.fast_nondominated_sort(self._pop)
-        front1 = np.array([ind.objectives for ind in self._fronts[0]])
-        ideal_point = np.min(front1, axis=0)
-
-        # crowding distance is positive and has to be maximized
-        crowd_dist = [None] * len(self._fronts)
-        crowd_dist[0] = [99999] * len(front1)
-
-        _, p, normalization = self.survival_score(front1, ideal_point)
-        for i in range(0, len(self._fronts)):  # skip first front since it is normalized by survival_score
-            front = np.array([ind.objectives for ind in self._fronts[i]])
-            m, _ = front.shape
-            front = front / normalization
-            dist = 1. / self.minkowski_distances(front, ideal_point[None, :], p=p).squeeze()
-            if isinstance(dist, np.float64):
-                dist = [dist]
-            else:
-                dist = list(dist)
-            crowd_dist[i] = dist
-
-        dists = [-dist for dists in crowd_dist for dist in dists]
-        ranks = [[i] * len(self._fronts[i]) for i in range(len(self._fronts))]
-        ranks = [r for rank in ranks for r in rank]
-
-        rank_dist_idx = [(i, r, d) for i, (r, d) in enumerate(zip(ranks, dists))]
-        sorted_list = sorted(
-            rank_dist_idx,
-            key=lambda t: (t[1], t[2])
-        )
-
-        selected = [item[0] for item in sorted_list][:self.num_of_individuals]
-        out_pop = [ind for pop in self._fronts for ind in pop]
-
-        self._pop = [ind for i, ind in enumerate(out_pop) if i in selected]
-
-        return self._pop
-
-    def dominates(self, ind1, ind2):
-        and_condition = True
-        or_condition = False
-        for first, second in zip(ind1.objectives, ind2.objectives):
-            and_condition = and_condition and first <= second
-            or_condition = or_condition or first < second
-        return (and_condition and or_condition)
-
-    def fast_nondominated_sort(self, population):
-        fronts = [[]]
-        for individual in population:
-            individual.domination_count = 0
-            individual.dominated_solutions = []
-            for other_individual in population:
-                if self.dominates(individual, other_individual):
-                    individual.dominated_solutions.append(other_individual)
-                elif self.dominates(other_individual, individual):
-                    individual.domination_count += 1
-            if individual.domination_count == 0:
-                individual.rank = 0
-                fronts[0].append(individual)
-        i = 0
-        while len(fronts[i]) > 0:
-            temp = []
-            for individual in fronts[i]:
-                for other_individual in individual.dominated_solutions:
-                    other_individual.domination_count -= 1
-                    if other_individual.domination_count == 0:
-                        other_individual.rank = i + 1
-                        temp.append(other_individual)
-            i = i + 1
-            fronts.append(temp)
-
-        self._fronts = [front for front in fronts if len(front) != 0]
-
-    def survival_score(self, front, ideal_point):
-        front = np.round(front, 12, out=front)
-        m, n = front.shape
-        crowd_dist = np.zeros(m)
-
-        if m < n:
-            p = 1
-            normalization = np.max(front, axis=0)
-            return crowd_dist, p, normalization
-
-        # shift the ideal point to the origin
-        front = front
-
-        # Detect the extreme points and normalize the front
-        extreme = self.find_corner_solutions(front)
-        front, normalization = self.normalize(front, extreme)
-
-        # set the distance for the extreme solutions
-        crowd_dist[extreme] = np.inf
-        selected = np.full(m, False)
-        selected[extreme] = True
-
-        p = self.compute_geometry(front, extreme, n)
-
-        nn = np.linalg.norm(front, p, axis=1)
-        distances = self.pairwise_distances(front, p) / nn[:, None]
-
-        neighbors = 2
-        remaining = np.arange(m)
-        remaining = list(remaining[~selected])
-        for i in range(m - np.sum(selected)):
-            mg = np.meshgrid(np.arange(selected.shape[0])[selected], remaining, copy=False, sparse=False)
-            D_mg = distances[tuple(mg)]  # avoid Numpy's future deprecation of array special indexing
-
-            if D_mg.shape[1] > 1:
-                # equivalent to mink(distances(remaining, selected),neighbors,2); in Matlab
-                maxim = np.argpartition(D_mg, neighbors - 1, axis=1)[:, :neighbors]
-                tmp = np.sum(np.take_along_axis(D_mg, maxim, axis=1), axis=1)
-                index: int = np.argmax(tmp)
-                d = tmp[index]
-            else:
-                index = D_mg[:, 0].argmax()
-                d = D_mg[index, 0]
-
-            best = remaining.pop(index)
-            selected[best] = True
-            crowd_dist[best] = d
-
-        return crowd_dist, p, normalization
-
-    def compute_geometry(self, front, extreme, n):
-        # approximate p(norm)
-        d = self.point_2_line_distance(front, np.zeros(n), np.ones(n))
-        d[extreme] = np.inf
-        index = np.argmin(d)
-
-        p = np.log(n) / (np.log(1.0 / (np.mean(front[index, :]) + 0.01)) + 0.01)
-
-        if np.isnan(p) or p <= 0.1:
-            p = 1.0
-        elif p > 20:
-            p = 20.0  # avoid numpy underflow
-
-        return p
-
-    @staticmethod
-    def pairwise_distances(front, p):
-        m = np.shape(front)[0]
-        distances = np.zeros((m, m))
-        for i in range(m):
-            distances[i] = np.sum(np.abs(front[i] - front) ** p, 1) ** (1 / p)
-
-        return distances
-
-    @staticmethod
-    def minkowski_distances(A, B, p):
-        m1 = np.shape(A)[0]
-        m2 = np.shape(B)[0]
-        distances = np.zeros((m1, m2))
-        for i in range(m1):
-            for j in range(m2):
-                distances[i][j] = sum(np.abs(A[i] - B[j]) ** p) ** (1 / p)
-
-        return distances
-
-    def find_corner_solutions(self, front):
-        """Return the indexes of the extreme points"""
-
-        m, n = front.shape
-
-        if m <= n:
-            return np.arange(m)
-
-        # let's define the axes of the n-dimensional spaces
-        w = 1e-6 + np.eye(n)
-        r = w.shape[0]
-        indexes = np.zeros(n, dtype=int)
-        selected = np.zeros(m, dtype=int)
-        for i in range(r):
-            dists = self.point_2_line_distance(front, np.zeros(n), w[i, :])
-            dists[selected] = np.inf  # prevent already selected to be reselected
-            index = np.argmin(dists)
-            indexes[i] = index
-            selected[index] = True
-        return indexes
-
-    @staticmethod
-    def point_2_line_distance(P, A, B):
-        d = np.zeros(P.shape[0])
-
-        for i in range(P.shape[0]):
-            pa = P[i] - A
-            ba = B - A
-            t = np.dot(pa, ba) / np.dot(ba, ba)
-            d[i] = sum((pa - t * ba) ** 2)
-
-        return d
-
-    @staticmethod
-    def normalize(front, extreme):
-        m, n = front.shape
-
-        if len(extreme) != len(np.unique(extreme, axis=0)):
-            normalization = np.max(front, axis=0)
-            front = front / normalization
-            return front, normalization
-
-        # Calculate the intercepts of the hyperplane constructed by the extreme
-        # points and the axes
-
-        try:
-            hyperplane = np.linalg.solve(front[extreme], np.ones(n))
-            if any(np.isnan(hyperplane)) or any(np.isinf(hyperplane)) or any(hyperplane < 0):
-                normalization = np.max(front, axis=0)
-            else:
-                normalization = 1. / hyperplane
-                if any(np.isnan(normalization)) or any(np.isinf(normalization)):
-                    normalization = np.max(front, axis=0)
-        except np.linalg.LinAlgError:
-            normalization = np.max(front, axis=0)
-
-        normalization[normalization == 0.0] = 1.0
-
-        # Normalization
-        front = front / normalization
-
-        return front, normalization
diff --git a/gefest/tools/optimizers/golem_optimizer/moead.py b/gefest/tools/optimizers/golem_optimizer/moead.py
deleted file mode 100644
index 827de88d0..000000000
--- a/gefest/tools/optimizers/golem_optimizer/moead.py
+++ /dev/null
@@ -1,128 +0,0 @@
-from functools import partial
-import numpy as np
-from scipy.spatial.distance import cdist
-
-from golem.core.optimisers.genetic.gp_optimizer import EvoGraphOptimizer
-from gefest.core.opt.individual import Individual
-
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.GA.base_GA import BaseGA
-
-
-class MOEAD(EvoGraphOptimizer, BaseGA):
-    """
-    GOLEM based optimizer of GEFEST structures
-    """
-
-    def __init__(self,
-                 adapter,
-                 mutation_rate,
-                 crossover_rate,
-                 pop_size,
-                 task_setup,
-                 n_neighbors,
-                 params):
-        EvoGraphOptimizer.__init__(self, **params)
-
-        self.params = BaseGA.Params(pop_size=pop_size,
-                                    crossover_rate=crossover_rate,
-                                    mutation_rate=mutation_rate,
-                                    mutation_value_rate=[])
-        BaseGA.__init__(self, self.params,
-                        default_operators(),
-                        task_setup)
-
-        self.num_of_individuals = pop_size
-        self.n_neighbors = n_neighbors
-        self.task_setup = task_setup
-
-        self.adapter = adapter
-        self.golem_params = {}
-
-    def _setup(self):
-        n_obj = len(self._pop[0].objectives)
-        self.initUniformWeight(n_obj)
-        self.ideal = np.min([ind.objectives for ind in self._pop], axis=0)
-        self.neighbors = np.argsort(cdist(self.ref_dirs, self.ref_dirs), axis=1, kind='quicksort')[:, :self.n_neighbors]
-        _ = 1
-
-    def step(self, population, performance, n_step):
-        """
-        One step of optimization procedure
-        :param population: (List[Structure]) population of structures
-        :param performance: (List[float]) performance of the population
-        :return: (List[Structure]) optimized population
-        """
-        # 0. Transformation List[Structure] -> Seq[OptGraph]
-        # graph_pop = [self.adapter.adapt(struct) for struct in population]
-        graph_pop = population
-
-        # 1. Initializations
-        self.init_populations(graph_pop)
-        self.init_performance(performance)
-        self._setup()
-
-        self._evolve_population()
-
-        population = [ind.genotype for ind in self._pop if len(ind.genotype.polygons) != 0]
-
-        return population
-
-    def _evolve_population(self, **kwargs):
-        """ Method realizing full evolution cycle """
-        self.calculate_fitness()
-        self._pop = self.tournament_selection()
-        self._pop.extend(self.reproduce(self._pop))
-
-        return self._pop
-
-    def calculate_fitness(self):
-        for j, ind in enumerate(self._pop):
-            maxFun = -1.0e+30
-            for n in range(len(ind.objectives)):
-                diff = abs(ind.objectives[n] - self.ideal[n])
-                if self.ref_dirs[j][n] == 0:
-                    feval = 0.0001 * diff
-                else:
-                    feval = diff * self.ref_dirs[j][n]
-
-                if feval > maxFun:
-                    maxFun = feval
-
-            ind.fitness = maxFun + len(self.neighbors[j])
-
-    def initUniformWeight(self, n_obj):
-        """
-        Precomputed weights from (Zhang, Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II) downloaded from:
-        http://dces.essex.ac.uk/staff/qzhang/MOEAcompetition/CEC09final/code/ZhangMOEADcode/moead030510.rar)
-
-        """
-        assert n_obj == 2 or n_obj == 3, 'MOEAD can handle only 2 or 3 objectives problems'
-
-        m = len(self._pop)
-        if n_obj == 2:
-            self.ref_dirs = [[None for _ in range(n_obj)] for i in range(m)]
-            for n in range(m):
-                a = 1.0 * float(n) / (m - 1)
-                self.ref_dirs[n][0] = a
-                self.ref_dirs[n][1] = 1 - a
-        elif n_obj == 3:
-            """
-            Ported from Java code written by Wudong Liu 
-            (Source: http://dces.essex.ac.uk/staff/qzhang/moead/moead-java-source.zip)
-            """
-            m = len(self._pop)
-
-            self.ref_dirs = list()
-            for i in range(m):
-                for j in range(m):
-                    if i + j <= m:
-                        k = m - i - j
-                        weight_scalars = [None] * 3
-                        weight_scalars[0] = float(i) / (m)
-                        weight_scalars[1] = float(j) / (m)
-                        weight_scalars[2] = float(k) / (m)
-                        self.ref_dirs.append(weight_scalars)
-            # Trim number of weights to fit population size
-            self.ref_dirs = sorted((x for x in self.ref_dirs), key=lambda x: sum(x), reverse=True)
-            self.ref_dirs = self.ref_dirs[:m]
diff --git a/gefest/tools/optimizers/golem_optimizer/nsga2.py b/gefest/tools/optimizers/golem_optimizer/nsga2.py
deleted file mode 100644
index ac9d0ae27..000000000
--- a/gefest/tools/optimizers/golem_optimizer/nsga2.py
+++ /dev/null
@@ -1,163 +0,0 @@
-from golem.core.optimisers.genetic.gp_optimizer import EvoGraphOptimizer
-from gefest.core.opt.individual import Individual
-
-from gefest.core.opt.operators.operators import default_operators
-from gefest.tools.optimizers.GA.base_GA import BaseGA
-from random import randint
-import random
-
-
-class NSGA2(EvoGraphOptimizer, BaseGA):
-    """
-    GOLEM based optimizer of GEFEST structures
-    """
-
-    def __init__(self,
-                 adapter,
-                 mutation_rate,
-                 crossover_rate,
-                 pop_size,
-                 task_setup,
-                 params):
-        EvoGraphOptimizer.__init__(self, **params)
-
-        self.params = BaseGA.Params(pop_size=pop_size,
-                                    crossover_rate=crossover_rate,
-                                    mutation_rate=mutation_rate,
-                                    mutation_value_rate=[])
-        BaseGA.__init__(self, self.params,
-                        default_operators(),
-                        task_setup)
-
-        self._pop = None
-        self._fronts = None
-
-        self.num_of_individuals = pop_size
-        self.task_setup = task_setup
-
-        self.adapter = adapter
-
-        self.golem_params = {}
-
-    def step(self, population, performance, n_step):
-        """
-        One step of optimization procedure
-        :param population: (List[Structure]) population of structures
-        :param performance: (List[float]) performance of the population
-        :return: (List[Structure]) optimized population
-        """
-        # 0. Transformation List[Structure] -> Seq[OptGraph]
-        # graph_pop = [self.adapter.adapt(struct) for struct in population]
-        graph_pop = population
-
-        # 1. Initializations
-        self.init_populations(graph_pop)
-        self.init_performance(performance)
-
-        self._evolve_population()
-
-        population = [ind.genotype for ind in self._pop if len(ind.genotype.polygons) != 0]
-
-        return population
-
-    def _evolve_population(self, **kwargs):
-        """ Method realizing full evolution cycle """
-        self.calculate_fitness()
-        self._pop = self.tournament_selection(self._pop)
-        self._pop.extend(self.reproduce(self._pop))
-
-        return self._pop
-
-    def calculate_fitness(self):
-        self.fast_nondominated_sort(self._pop)
-        for front in self._fronts:
-            self.calculate_crowding_distance(front)
-
-    # -----------------------------------------------------------------------------
-    def dominates(self, ind1, ind2):
-        and_condition = True
-        or_condition = False
-        for first, second in zip(ind1.objectives, ind2.objectives):
-            and_condition = and_condition and first <= second
-            or_condition = or_condition or first < second
-        return (and_condition and or_condition)
-
-    def fast_nondominated_sort(self, population):
-        fronts = [[]]
-        for individual in population:
-            individual.domination_count = 0
-            individual.dominated_solutions = []
-            for other_individual in population:
-                if self.dominates(individual, other_individual):
-                    individual.dominated_solutions.append(other_individual)
-                elif self.dominates(other_individual, individual):
-                    individual.domination_count += 1
-            if individual.domination_count == 0:
-                individual.rank = 0
-                fronts[0].append(individual)
-        i = 0
-        while len(fronts[i]) > 0:
-            temp = []
-            for individual in fronts[i]:
-                for other_individual in individual.dominated_solutions:
-                    other_individual.domination_count -= 1
-                    if other_individual.domination_count == 0:
-                        other_individual.rank = i + 1
-                        temp.append(other_individual)
-            i = i + 1
-            fronts.append(temp)
-
-        self._fronts = fronts
-
-    def calculate_crowding_distance(self, front):
-        if len(front) > 0:
-            solutions_num = len(front)
-            for individual in front:
-                individual.crowding_distance = 0
-
-            for m in range(len(front[0].objectives)):
-                front.sort(key=lambda individual: individual.objectives[m])
-                front[0].crowding_distance = 10 ** 9
-                front[solutions_num - 1].crowding_distance = 10 ** 9
-                m_values = [individual.objectives[m] for individual in front]
-                scale = max(m_values) - min(m_values)
-                if scale == 0: scale = 1
-                for i in range(1, solutions_num - 1):
-                    front[i].crowding_distance += (front[i + 1].objectives[m] - front[i - 1].objectives[m]) / scale
-
-    def tournament_selection(self, population):
-        chosen = []
-        n_iter = 0
-        while len(chosen) < self.num_of_individuals:
-            n_iter += 1
-            best = self.__tournament(population)
-            if best not in chosen:
-                chosen.append(best)
-            elif n_iter > self.num_of_individuals + 100:
-                n_iter = 0
-                rnd = population[randint(0, len(self._pop) - 1)]
-                chosen.append(rnd)
-        return chosen
-
-    def __tournament(self, population):
-        participants = random.sample(population, 2)
-        best = None
-        for participant in participants:
-            if best is None or (
-                    self.crowding_operator(participant, best) == 1 and self.__choose_with_prob(0.9)):
-                best = participant
-
-        return best
-
-    def crowding_operator(self, individual, other_individual):
-        if (individual.rank < other_individual.rank) or \
-                ((individual.rank == other_individual.rank) and (
-                        individual.crowding_distance > other_individual.crowding_distance)):
-            return 1
-        else:
-            return -1
-
-    def __choose_with_prob(self, prob):
-        if random.random() <= prob:
-            return True
-        return False
diff --git a/gefest/tools/optimizers/golem_optimizer/standard.py b/gefest/tools/optimizers/golem_optimizer/standard.py
new file mode 100644
index 000000000..901788852
--- /dev/null
+++ b/gefest/tools/optimizers/golem_optimizer/standard.py
@@ -0,0 +1,58 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from gefest.core.geometry import Structure
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+from golem.core.optimisers.genetic.gp_optimizer import EvoGraphOptimizer
+from golem.core.optimisers.objective import Objective
+
+from gefest.core.opt.adapters.configuration_mapping import (
+    map_into_gpa,
+    map_into_graph_generation_params,
+    map_into_graph_requirements,
+)
+from gefest.tools.optimizers.optimizer import Optimizer
+
+
+class StandardOptimizer(Optimizer):
+    """Wrapper for GOLEM EvoGraphOptimizer.
+
+    All GOLEM optimization features can be setted up with native GEFEST configuration file.
+
+    """
+
+    def __init__(self, opt_params: OptimizationParams, initial_population=None, **kwargs) -> None:
+        super().__init__(opt_params.log_dispatcher, **kwargs)
+        self.opt_params = opt_params
+        self.objective = Objective(
+            quality_metrics={obj.__class__.__name__: obj for obj in opt_params.objectives},
+            is_multi_objective=len(opt_params.objectives) > 1,
+        )
+        self.requirements = map_into_graph_requirements(opt_params)
+        self.ggp = map_into_graph_generation_params(opt_params)
+        self.gpa = map_into_gpa(opt_params)
+
+        if initial_population:
+            self.initial_pop = initial_population
+        else:
+            self.initial_pop: list[Structure] = list(
+                map(opt_params.golem_adapter.adapt, opt_params.sampler(opt_params.pop_size)),
+            )
+
+        self.__standard_opt = EvoGraphOptimizer(
+            objective=self.objective,
+            initial_graphs=self.initial_pop,
+            requirements=self.requirements,
+            graph_generation_params=self.ggp,
+            graph_optimizer_params=self.gpa,
+        )
+
+    def optimize(self):
+        """Optimizes population."""
+        optimized_graphs = self.__standard_opt.optimise(self.objective)
+        optimized_pop = list(map(self.opt_params.golem_adapter.restore, optimized_graphs))
+        return optimized_pop
diff --git a/gefest/tools/optimizers/golem_optimizer/surrogate.py b/gefest/tools/optimizers/golem_optimizer/surrogate.py
new file mode 100644
index 000000000..e07b7468d
--- /dev/null
+++ b/gefest/tools/optimizers/golem_optimizer/surrogate.py
@@ -0,0 +1,63 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from gefest.core.geometry.datastructs.structure import Structure
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+from golem.core.optimisers.meta.surrogate_optimizer import SurrogateEachNgenOptimizer
+from golem.core.optimisers.objective import Objective
+
+from gefest.core.opt.adapters.configuration_mapping import (
+    map_into_gpa,
+    map_into_graph_generation_params,
+    map_into_graph_requirements,
+)
+from gefest.tools.optimizers.optimizer import Optimizer
+
+
+class SurrogateOptimizer(Optimizer):
+    """Wrapper for GOLEM SurrogateEachNgenOptimizer.
+
+    Provides optimization strategy using both physical simulator and surrogate model.
+
+    """
+
+    def __init__(self, opt_params: OptimizationParams, initial_population=None, **kwargs) -> None:
+        super().__init__(opt_params.log_dispatcher, **kwargs)
+        self.opt_params = opt_params
+        self.objective = Objective(
+            quality_metrics={obj.__class__.__name__: obj for obj in opt_params.objectives},
+            is_multi_objective=len(opt_params.objectives) > 1,
+        )
+        self.requirements = map_into_graph_requirements(opt_params)
+        self.ggp = map_into_graph_generation_params(opt_params)
+        self.gpa = map_into_gpa(opt_params)
+
+        if initial_population:
+            self.initial_pop = initial_population
+        else:
+            self.initial_pop: list[Structure] = list(
+                map(opt_params.golem_adapter.adapt, opt_params.sampler(opt_params.pop_size)),
+            )
+
+        self.__surrogate_opt = SurrogateEachNgenOptimizer(
+            objective=self.objective,
+            initial_graphs=self.initial_pop,
+            requirements=self.requirements,
+            graph_generation_params=self.ggp,
+            graph_optimizer_params=self.gpa,
+            surrogate_each_n_gen=self.opt_params.golem_surrogate_each_n_gen,
+        )
+
+    def optimize(self) -> list[Structure]:
+        """Optimizes population.
+
+        Returns:
+            list[Structure]: Optimized population.
+        """
+        optimized_graphs = self.__surrogate_opt.optimise(self.objective)
+        optimized_pop = list(map(self.opt_params.golem_adapter.restore, optimized_graphs))
+        return optimized_pop
diff --git a/gefest/tools/optimizers/optimizer.py b/gefest/tools/optimizers/optimizer.py
index f90e099b5..06124914f 100644
--- a/gefest/tools/optimizers/optimizer.py
+++ b/gefest/tools/optimizers/optimizer.py
@@ -1,23 +1,30 @@
-from typing import List, Optional
-from gefest.core.structure.structure import Structure
+from abc import ABCMeta, abstractmethod
 
+from gefest.core.geometry import Structure
 
-class Optimizer:
-    def __init__(self, optimizer):
-        """
-        Base optimizer class
-        :param optimizer: (Object) object with method step
-        """
-        self.optimizer = optimizer
 
-    def step(self, population: List[Structure], performance: List[float], n_step: Optional[int] = None):
-        """
-        Making one optimizing step
-        :param population: (List[Structure]), input population
-        :param performance: (List(float)), performance of input population obtained by estimator
-        :param n_step: (Optional(int)), number of generative design step
-        :return: (List[Structure]), optimized population
-        """
-        population = self.optimizer.step(population, performance, n_step)
+class Optimizer(metaclass=ABCMeta):
+    """Interface for optimizers."""
 
-        return population
+    def __init__(
+        self,
+        log_dispatcher=None,
+        **kwargs,
+    ) -> None:
+        self.log_dispatcher = log_dispatcher
+
+    @abstractmethod
+    def optimize(
+        self,
+        n_steps: int,
+        **kwargs,
+    ) -> list[Structure]:
+        """Must implement optimization logic.
+
+        Args:
+            n_steps (int): Number of optimization steps.
+
+        Returns:
+            list[Structure]: Optimized population.
+        """
+        ...
diff --git a/gefest/tools/run_experiment.py b/gefest/tools/run_experiment.py
new file mode 100644
index 000000000..b6509b5b6
--- /dev/null
+++ b/gefest/tools/run_experiment.py
@@ -0,0 +1,34 @@
+from loguru import logger
+from tqdm import tqdm
+
+from gefest.core.configs.utils import load_config
+from gefest.core.viz.struct_vizualizer import GIFMaker
+from gefest.tools.tuners.tuner import GolemTuner
+
+
+def run_experiment(config_path: str):
+    """Simple experiment runner."""
+    opt_params = load_config(config_path)
+
+    optimizer = opt_params.optimizer(opt_params)
+    optimized_pop = optimizer.optimize()
+
+    # Optimized pop visualization
+    logger.info('Collecting plots of optimized structures...')
+    gm = GIFMaker(domain=opt_params.domain)
+    for st in tqdm(optimized_pop):
+        gm.create_frame(st, {'Optimized': st.fitness})
+
+    gm.make_gif('Optimized population', 500)
+
+    if opt_params.tuner_cfg:
+        tuner = GolemTuner(opt_params)
+        tuned_individuals = tuner.tune(optimized_pop[: opt_params.tuner_cfg.tune_n_best])
+
+        # Tuned structures visualization
+        logger.info('Collecting plots of tuned structures...')
+        gm = GIFMaker(domain=opt_params.domain)
+        for st in tqdm(tuned_individuals):
+            gm.create_frame(st, {'Tuned': st.fitness})
+
+        gm.make_gif('Tuned individuals', 500)
diff --git a/gefest/tools/samplers/DL/heat/heat_sampler.py b/gefest/tools/samplers/DL/heat/heat_sampler.py
index 51ba9fbb7..80cb88675 100644
--- a/gefest/tools/samplers/DL/heat/heat_sampler.py
+++ b/gefest/tools/samplers/DL/heat/heat_sampler.py
@@ -1,7 +1,13 @@
-import torch
 import os
-from gefest.tools.samplers.DL.microfluid.backbones import Encoder, Decoder, Discriminator
+
+import torch
+
 from gefest.tools.samplers.DL.microfluid.aae import AAE
+from gefest.tools.samplers.DL.microfluid.backbones import (
+    Decoder,
+    Discriminator,
+    Encoder,
+)
 
 os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
 
@@ -33,15 +39,19 @@ def _configurate_sampler(self):
         n_layers = 2
         self.hidden_dim = 32
 
-        aae = AAE(Encoder=Encoder,
-                  Decoder=Decoder,
-                  Discriminator=Discriminator,
-                  hidden_dim=self.hidden_dim,
-                  conv_dims=conv_dims,
-                  n_layers=n_layers,
-                  device=self.device)
+        aae = AAE(
+            Encoder=Encoder,
+            Decoder=Decoder,
+            Discriminator=Discriminator,
+            hidden_dim=self.hidden_dim,
+            conv_dims=conv_dims,
+            n_layers=n_layers,
+            device=self.device,
+        )
 
-        aae.load_state_dict(torch.load(self.path, map_location=self.device))  # Load prepared sampler
+        aae.load_state_dict(
+            torch.load(self.path, map_location=self.device),
+        )  # Load prepared sampler
         aae.eval()
 
         self.sampler = aae
@@ -57,6 +67,8 @@ def sample(self, n_samples: int, domain):
         """
         with torch.no_grad():
             noise = torch.normal(mean=0, std=1, size=(n_samples, self.hidden_dim)).to(self.device)
-            objects = self.sampler.decoder.sample(noise).to('cpu').tolist()  # Numpy: {n_samples, 1, 128, 128}
+            objects = (
+                self.sampler.decoder.sample(noise).to('cpu').tolist()
+            )  # Numpy: {n_samples, 1, 128, 128}
 
         return objects
diff --git a/gefest/tools/samplers/DL/microfluid/aae.py b/gefest/tools/samplers/DL/microfluid/aae.py
index 27d89a0d5..67e0e97c3 100644
--- a/gefest/tools/samplers/DL/microfluid/aae.py
+++ b/gefest/tools/samplers/DL/microfluid/aae.py
@@ -1,6 +1,6 @@
-import torch
 import time
 
+import torch
 from torch import nn
 
 
@@ -10,7 +10,7 @@ class AAE(nn.Module):
     # Adversarial Auto Encoder model
     ################################
 
-    def __init__(self, Encoder, Decoder, Discriminator, hidden_dim, conv_dims, n_layers, device):
+    def __init__(self, encoder, decoder, discriminator, hidden_dim, conv_dims, n_layers, device):
         """
         Creating AAE model
         :param Encoder: Encoder model
@@ -26,9 +26,9 @@ def __init__(self, Encoder, Decoder, Discriminator, hidden_dim, conv_dims, n_lay
         self.device = device
         self.hidden_dim = hidden_dim
 
-        self.encoder = Encoder(hidden_dim, conv_dims, device).to(device)
-        self.decoder = Decoder(hidden_dim, conv_dims, device).to(device)
-        self.discriminator = Discriminator(hidden_dim, n_layers, device).to(device)
+        self.encoder = encoder(hidden_dim, conv_dims, device).to(device)
+        self.decoder = decoder(hidden_dim, conv_dims, device).to(device)
+        self.discriminator = discriminator(hidden_dim, n_layers, device).to(device)
 
         self.mse = nn.MSELoss()
         self.bce = nn.BCELoss()
@@ -139,21 +139,21 @@ def fit(self, trainloader, testloader, epochs):
         params = {
             'ae': list(self.decoder.parameters()) + list(self.encoder.parameters()),
             'encoder': list(self.encoder.parameters()),
-            'discriminator': list(self.discriminator.parameters())
+            'discriminator': list(self.discriminator.parameters()),
         }
 
         ae_optim = torch.optim.Adam(params=params['ae'], lr=1e-3)
         en_optim = torch.optim.Adam(params=params['encoder'], lr=1e-4)
         dis_optim = torch.optim.Adam(params=params['discriminator'], lr=1e-4)
 
-        print('opt=%s(lr=%f), epochs=%d, device=%s,\n'
-              'en loss \u2193, gen loss \u2193, dis loss \u2191' % \
-              (type(en_optim).__name__,
-               en_optim.param_groups[0]['lr'], epochs, self.device))
+        print(
+            'opt=%s(lr=%f), epochs=%d, device=%s,\n'
+            'en loss \u2193, gen loss \u2193, dis loss \u2191'
+            % (type(en_optim).__name__, en_optim.param_groups[0]['lr'], epochs, self.device),
+        )
 
         history = {'loss': [], 'val_loss': []}
 
-        train_len = len(trainloader.dataset)
         test_len = len(testloader.dataset)
 
         for epoch in range(epochs):
@@ -187,7 +187,11 @@ def fit(self, trainloader, testloader, epochs):
                 d_z_sample = self.discriminator(z_sample)
 
                 # Standard normal distribution was taken as prior
-                z_prior = torch.normal(mean=0, std=1, size=(batch_samples.size(dim=0), self.hidden_dim)).to(self.device)
+                z_prior = torch.normal(
+                    mean=0,
+                    std=1,
+                    size=(batch_samples.size(dim=0), self.hidden_dim),
+                ).to(self.device)
                 d_z_prior = self.discriminator(z_prior)
 
                 discrim_reg = self.discr_reg(d_z_sample, d_z_prior)
@@ -211,12 +215,19 @@ def fit(self, trainloader, testloader, epochs):
                 end_time = time.time()
                 work_time = end_time - start_time
 
-                print('Epoch/batch %3d/%3d \n'
-                      'recon_loss %5.5f, discr_reg %5.5f, encoder_reg %5.5f \n'
-                      'batch time %5.2f sec' % \
-                      (epoch + 1, i,
-                       recon_loss.item(), discrim_reg.item(), encoder_reg.item(),
-                       work_time))
+                print(
+                    'Epoch/batch %3d/%3d \n'
+                    'recon_loss %5.5f, discr_reg %5.5f, encoder_reg %5.5f \n'
+                    'batch time %5.2f sec'
+                    % (
+                        epoch + 1,
+                        i,
+                        recon_loss.item(),
+                        discrim_reg.item(),
+                        encoder_reg.item(),
+                        work_time,
+                    ),
+                )
 
             #######################
             # VALIDATION PART
@@ -226,7 +237,7 @@ def fit(self, trainloader, testloader, epochs):
             val_dis_loss = 0.0
 
             with torch.no_grad():
-                for i, batch_samples in enumerate(testloader):
+                for _, batch_samples in enumerate(testloader):
                     batch_samples = batch_samples['image'].to(self.device)
 
                     recon_loss, discrim_reg, encoder_reg = self.get_losses(batch_samples)
@@ -240,10 +251,11 @@ def fit(self, trainloader, testloader, epochs):
             val_dis_loss = val_dis_loss / test_len
 
             if epoch + 1:
-                print('Epoch %3d/%3d \n'
-                      'val_en_loss %5.5f, val_gen_loss %5.5f, val_dis_loss %5.5f \n' % \
-                      (epoch + 1, epochs,
-                       val_recon_loss, val_gen_loss, val_dis_loss))
+                print(
+                    'Epoch %3d/%3d \n'
+                    'val_en_loss %5.5f, val_gen_loss %5.5f, val_dis_loss %5.5f \n'
+                    % (epoch + 1, epochs, val_recon_loss, val_gen_loss, val_dis_loss),
+                )
 
             history['val_loss'].append(val_recon_loss + val_gen_loss + val_dis_loss)
 
diff --git a/gefest/tools/samplers/DL/microfluid/backbones.py b/gefest/tools/samplers/DL/microfluid/backbones.py
index 50c9f8682..2b76a84a0 100644
--- a/gefest/tools/samplers/DL/microfluid/backbones.py
+++ b/gefest/tools/samplers/DL/microfluid/backbones.py
@@ -1,5 +1,4 @@
 import torch
-
 from torch import nn
 
 
@@ -26,12 +25,15 @@ def __init__(self, hidden_dim, conv_dims, device):
         for channels in self.conv_dims:
             model.append(
                 nn.Sequential(
-                    nn.Conv2d(in_channels=in_channel,
-                              out_channels=channels,
-                              kernel_size=3,
-                              stride=2),
+                    nn.Conv2d(
+                        in_channels=in_channel,
+                        out_channels=channels,
+                        kernel_size=3,
+                        stride=2,
+                    ),
                     nn.BatchNorm2d(channels),
-                    nn.ReLU())
+                    nn.ReLU(),
+                ),
             )
             in_channel = channels
 
@@ -40,8 +42,7 @@ def __init__(self, hidden_dim, conv_dims, device):
 
         self.model = nn.Sequential(*model)
 
-        self.sample = nn.Linear(in_features=self.conv_dims[-1],
-                                out_features=self.hidden_dim)
+        self.sample = nn.Linear(in_features=self.conv_dims[-1], out_features=self.hidden_dim)
 
     def forward(self, x):
         """
@@ -72,7 +73,9 @@ def __init__(self, hidden_dim, conv_dims, device):
         self.hidden_dim = hidden_dim
 
         conv_dims.reverse()  # Reversing dims to create decoder
-        self.conv_dims = conv_dims  # It is possible to decrease number of parameters for prevent overfitting
+        self.conv_dims = (
+            conv_dims  # It is possible to decrease number of parameters for prevent overfitting
+        )
 
         self.input_layer = nn.Linear(self.hidden_dim, self.conv_dims[0] * 4)
 
@@ -85,35 +88,33 @@ def __init__(self, hidden_dim, conv_dims, device):
         for i in range(len(self.conv_dims) - 1):
             model.append(
                 nn.Sequential(
-                    nn.ConvTranspose2d(in_channels=self.conv_dims[i],
-                                       out_channels=self.conv_dims[i + 1],
-                                       kernel_size=3,
-                                       stride=2,
-                                       padding=1,
-                                       output_padding=1
-                                       ),
+                    nn.ConvTranspose2d(
+                        in_channels=self.conv_dims[i],
+                        out_channels=self.conv_dims[i + 1],
+                        kernel_size=3,
+                        stride=2,
+                        padding=1,
+                        output_padding=1,
+                    ),
                     nn.BatchNorm2d(self.conv_dims[i + 1]),
-                    nn.ReLU()
-                )
+                    nn.ReLU(),
+                ),
             )
         self.model = nn.Sequential(*model)
 
         self.final_layer = nn.Sequential(
-            nn.ConvTranspose2d(in_channels=self.conv_dims[-1],
-                               out_channels=self.conv_dims[-1],
-                               kernel_size=3,
-                               stride=2,
-                               padding=1,
-                               output_padding=1
-                               ),
+            nn.ConvTranspose2d(
+                in_channels=self.conv_dims[-1],
+                out_channels=self.conv_dims[-1],
+                kernel_size=3,
+                stride=2,
+                padding=1,
+                output_padding=1,
+            ),
             nn.BatchNorm2d(self.conv_dims[i + 1]),
             nn.ReLU(),
-            nn.Conv2d(in_channels=self.conv_dims[-1],
-                      out_channels=1,
-                      kernel_size=3,
-                      padding=1
-                      ),
-            nn.Sigmoid()
+            nn.Conv2d(in_channels=self.conv_dims[-1], out_channels=1, kernel_size=3, padding=1),
+            nn.Sigmoid(),
         )
 
     def forward(self, z):
@@ -122,8 +123,8 @@ def forward(self, z):
         :param z: (Tensor) [B x hidden_dim]
         :return: (Tensor) [B x C x W x H]
         """
-        input = self.input_layer(z).view(-1, self.conv_dims[0], 2, 2)
-        out_decoder = self.model(input)
+        input_ = self.input_layer(z).view(-1, self.conv_dims[0], 2, 2)
+        out_decoder = self.model(input_)
         out_final = self.final_layer(out_decoder)
 
         return out_final
@@ -163,27 +164,26 @@ def __init__(self, hidden_dim, n_layers, device):
         for _ in range(n_layers):
             model.append(
                 nn.Sequential(
-                    nn.Linear(in_features=in_dim,
-                              out_features=in_dim * 4),
+                    nn.Linear(in_features=in_dim, out_features=in_dim * 4),
                     nn.Dropout(p=0.2),
-                    nn.ReLU())
+                    nn.ReLU(),
+                ),
             )
             in_dim = in_dim * 4
 
         for _ in range(n_layers):
             model.append(
                 nn.Sequential(
-                    nn.Linear(in_features=in_dim,
-                              out_features=int(in_dim / 4)),
+                    nn.Linear(in_features=in_dim, out_features=int(in_dim / 4)),
                     nn.Dropout(p=0.2),
-                    nn.ReLU())
+                    nn.ReLU(),
+                ),
             )
             in_dim = int(in_dim / 4)
 
         self.model = nn.Sequential(*model)
 
-        self.prob = nn.Linear(in_features=in_dim,
-                              out_features=1)
+        self.prob = nn.Linear(in_features=in_dim, out_features=1)
 
     def forward(self, x):
         """
diff --git a/gefest/tools/samplers/DL/microfluid/microfluid_sampler.py b/gefest/tools/samplers/DL/microfluid/microfluid_sampler.py
index 44d3c6d28..7c7067860 100644
--- a/gefest/tools/samplers/DL/microfluid/microfluid_sampler.py
+++ b/gefest/tools/samplers/DL/microfluid/microfluid_sampler.py
@@ -1,13 +1,17 @@
-import torch
+import os
+
 import cv2 as cv
 import numpy as np
-import os
+import torch
 
-from gefest.tools.samplers.DL.microfluid.backbones import Encoder, Decoder, Discriminator
-from gefest.core.structure.domain import Domain
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
 from gefest.tools.samplers.DL.microfluid.aae import AAE
-from gefest.core.structure.polygon import Polygon, Point
-from gefest.core.structure.structure import Structure
+from gefest.tools.samplers.DL.microfluid.backbones import (
+    Decoder,
+    Discriminator,
+    Encoder,
+)
 
 os.environ['KMP_DUPLICATE_LIB_OK'] = 'True'
 
@@ -42,24 +46,35 @@ def _configurate_sampler(self):
         n_layers = 2
         self.hidden_dim = 32
 
-        aae = AAE(Encoder=Encoder,
-                  Decoder=Decoder,
-                  Discriminator=Discriminator,
-                  hidden_dim=self.hidden_dim,
-                  conv_dims=conv_dims,
-                  n_layers=n_layers,
-                  device=self.device)
-
-        aae.load_state_dict(torch.load(self.path, map_location=self.device))  # Load prepared sampler
+        aae = AAE(
+            Encoder=Encoder,
+            Decoder=Decoder,
+            Discriminator=Discriminator,
+            hidden_dim=self.hidden_dim,
+            conv_dims=conv_dims,
+            n_layers=n_layers,
+            device=self.device,
+        )
+
+        aae.load_state_dict(
+            torch.load(self.path, map_location=self.device),
+        )  # Load prepared sampler
         aae.eval()
 
         self.sampler = aae
 
-    def _transform(self, objects, domain):
-        """
-        Transformation from images to polygons using edge detector
+    def _transform(self, objects, domain) -> list[Structure]:
+        """Transforms images to polygons using edge detector.
+
         :param objects: (Array) [n_samples x 1 x 128 x 128]
         :return: List(Structure)
+
+        Args:
+            objects (_type_): _description_
+            domain (_type_): _description_
+
+        Returns:
+            _type_: _description_
         """
         samples = []
 
diff --git a/gefest/tools/samplers/rand_gen/noise_sampler.py b/gefest/tools/samplers/rand_gen/noise_sampler.py
new file mode 100644
index 000000000..f8eb17ccf
--- /dev/null
+++ b/gefest/tools/samplers/rand_gen/noise_sampler.py
@@ -0,0 +1,192 @@
+# import copy
+from typing import List
+
+import numpy as np
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.geometry_2d import Geometry2D
+from gefest.core.opt.postproc.rules import PolygonNotSelfIntersects
+
+
+class NoisedPoly:
+    """Class for revers mutation of synthetic geometry.
+
+    It is a sampler of geometry,
+         that generate similar to reference polygons.
+        class apply a noise for every point of polygon
+        (except first and last for close geometry!!!),
+         than it can rotate and resize obtained polygon.
+    :param:
+         scale (float): - scale factor mapped to domain side. Necessary for obtain
+            'sigma' arg for uniform noise function.
+                Recommend from 0.01 to 0.05.
+                May be tested for other examples;
+         init_poly (Polygon): - Reference polygon necessary
+          to generate new reverse mutated geometry;
+         resize_scale (List[min,max]): range of min and max value for
+            random.uniform generation x_scale and y_scale:
+             (scale value for **x** axis ;scale value for **y** axis).
+                Necessary for resize_polygon function;
+        degrees_to_rotate (int;float): +/- degrees to rotate polygon;
+        rules (List[Rules]): List of geometry validation rules
+    """
+
+    geometry = Geometry2D()
+
+    def __init__(
+        self,
+        init_poly: Polygon,
+        scale: float = 0.01,
+        resize_scale: List = None,
+        probability: float = 0.75,
+        degrees_to_rotate: int = 180,
+        rules: List = None,
+        is_rotate: bool = True,
+        is_resize: bool = True,
+        is_remove_points: bool = True,
+        domain=None,
+    ):
+        self.is_rotate = is_rotate
+        self.is_resize = is_resize
+        self.is_remove_points = is_remove_points
+
+        self.degrees_to_rotate = degrees_to_rotate
+        self.proba = probability
+
+        self.init_polygon = init_poly
+        self.close = False
+        if self.init_polygon[0] == self.init_polygon[-1]:
+            self.close = True
+
+        if resize_scale is None:
+            self.resize_scale = [0.75, 1.5]
+        else:
+            self.resize_scale = resize_scale
+
+        if rules is None:
+            rules = [PolygonNotSelfIntersects()]
+
+        self.rules = rules
+
+        sigma_max_x = max(p.coords[0] for p in self.init_polygon.points)
+        sigma_max_y = max(p.coords[1] for p in self.init_polygon.points)
+        sigma_min_x = min(p.coords[0] for p in self.init_polygon.points)
+        sigma_min_y = min(p.coords[1] for p in self.init_polygon.points)
+        max_x = sigma_max_x - sigma_min_x
+        max_y = sigma_max_y - sigma_min_y
+        self.sigma = np.random.uniform(min(max_x, max_y) * scale, max(max_x, max_y) * scale)
+
+    def __call__(
+        self,
+        **kwargs,
+    ) -> Polygon:
+        """Call method to apply sample() func.
+
+        :param kwargs:
+        :return:
+        """
+        return self.sample()
+
+    def noising_poly(self, poly: Polygon) -> Polygon:
+        """Function to add noise to polygon points.
+
+        :param poly:
+        :return:
+        """
+        x_noise_start = np.random.uniform(-self.sigma, self.sigma)
+        y_noise_start = np.random.uniform(-self.sigma, self.sigma)
+        for i, point in enumerate(self.init_polygon.points):
+            if (i == 0 or i == (len(self.init_polygon) - 1)) and self.close:
+                poly.points.append(
+                    Point(point.coords[0] + x_noise_start, point.coords[1] + y_noise_start)
+                )
+                continue
+
+            if np.random.uniform(0, 1) < (1 - self.proba):
+                poly.points.append(point)
+
+            else:
+                x_noise = np.random.uniform(-self.sigma, self.sigma)
+                y_noise = np.random.uniform(-self.sigma, self.sigma)
+                poly.points.append(Point(point.coords[0] + x_noise, point.coords[1] + y_noise))
+
+        return poly
+
+    def remove_points(self, poly: Polygon) -> Polygon:
+        """Function for deleting polygons points.
+
+        :param poly:
+        :return:
+        """
+        if np.random.uniform(0, 1) < self.proba:
+            if len(poly.points) // 4 >= 1:
+                max_to_del = len(poly.points) // 4
+            else:
+                max_to_del = 1
+
+            for _ in range(0, max_to_del):  # Choose hwo many points may be deleted
+                pnt_to_del = np.random.randint(1, len(poly.points) - 1)
+                poly.points.remove(poly.points[pnt_to_del])
+
+        return poly
+
+    def resize_polygon(self, poly: Polygon) -> Polygon:
+        """Resize polygon size func.
+
+        :param poly:
+        :return:
+        """
+        x_scale = np.random.uniform(self.resize_scale[0], self.resize_scale[1])
+        y_scale = np.random.uniform(self.resize_scale[0], self.resize_scale[1])
+        if np.random.uniform(0, 1) < self.proba:
+            poly = self.geometry.resize_poly(poly, x_scale, y_scale)
+
+        return poly
+
+    def rotate_polygon(self, poly: Polygon) -> Polygon:
+        """Rotating polygon function.
+
+        :param poly:
+        :return:
+        """
+        angle = np.random.randint(-self.degrees_to_rotate, self.degrees_to_rotate)
+        if np.random.uniform(0, 1) < self.proba:
+            # poly_test = copy.deepcopy(poly)
+            poly = self.geometry.rotate_poly(poly, angle)
+            if not self.close:
+                poly.points.remove(poly.points[0])
+                # poly_test_2 = copy.deepcopy(poly)
+
+        return poly
+
+    def polygon_transformation(self):
+        """Function applying every notion operation, that may be applied.
+
+        :return:
+        """
+        poly = Polygon([])
+        poly = self.noising_poly(poly)
+        if self.is_remove_points:
+            poly = self.remove_points(poly)
+
+        if self.is_rotate:
+            poly = self.resize_polygon(poly)
+
+        if self.is_resize:
+            poly = self.rotate_polygon(poly)
+
+        return poly
+
+    def sample(self):
+        """Action function to noise polygon.
+
+        :return: mutated Polygon with validation.
+        """
+        poly = self.polygon_transformation()
+        struct = Structure(polygons=([poly]))
+        for r in self.rules:
+            while not r.validate(struct, 0, domain=None):
+                poly = self.polygon_transformation()
+                struct = Structure(polygons=([poly]))
+
+        return poly
diff --git a/gefest/tools/samplers/rand_gen/rand_sampler_exmpl.py b/gefest/tools/samplers/rand_gen/rand_sampler_exmpl.py
new file mode 100644
index 000000000..44ac21539
--- /dev/null
+++ b/gefest/tools/samplers/rand_gen/rand_sampler_exmpl.py
@@ -0,0 +1,75 @@
+# Example to generate similar synthetic geometry.
+# In the end show animation of revers mutation action.
+import time
+from pathlib import Path
+
+import matplotlib.pyplot as plt
+import numpy as np
+from core.geometry import Point, Polygon
+from polygenerator import random_star_shaped_polygon
+from tools.samplers.rand_gen.noise_sampler import NoisedPoly
+
+from gefest.core.geometry.geometry_2d import Geometry2D
+from gefest.core.opt.postproc.rules import PolygonNotSelfIntersects
+from gefest.tools.utils import poly_from_comsol_txt
+
+root = Path(__file__).parent.parent.parent.parent.parent
+grid_resolution_x = 300  # Number of points on x-axis
+grid_resolution_y = 300
+coord_x = np.linspace(20, 100, grid_resolution_x + 1)  # X coordinate for spatial grid
+coord_y = np.linspace(20, 100, grid_resolution_y + 1)
+border = [
+    (min(coord_x), min(coord_y)),
+    (min(coord_x), max(coord_y)),
+    (max(coord_x), max(coord_y)),
+    (max(coord_x), min(coord_y)),
+    (min(coord_x), min(coord_y)),
+]
+len_x = max(coord_x) - min(coord_x)
+len_y = max(coord_y) - min(coord_y)
+geometry = Geometry2D()
+
+POLYGON_FROM_TXT = False  # Choose mode to obtain polygon
+
+if POLYGON_FROM_TXT:
+    path_ = f'{root}/cases/synthetic/syn_gen/Comsol_points/lightning.txt'  # Load poly from txt file
+    best_poly = poly_from_comsol_txt(path=path_).polygons[0]
+else:
+    best_poly = random_star_shaped_polygon(num_points=77)  # Generate random polygon
+    best_poly = Polygon(
+        [Point(p[0] * min(coord_x) + len_x / 2, p[1] * min(coord_y) + len_y / 2)
+         for p in best_poly]
+    )
+    best_poly.points.append(best_poly.points[0])
+
+plt.ion()
+noise = NoisedPoly(
+    init_poly=best_poly,
+    scale=0.03,
+    degrees_to_rotate=30,
+    rules=[PolygonNotSelfIntersects()],
+    resize_scale=[0.5, 1.75],
+)
+
+for _ in range(200):
+    # angle = np.random.randint(-100, 100)
+    plt.clf()
+    plt.plot([b[0] for b in border], [b[1] for b in border])
+    plt.plot(
+        [b[0] for b in [p.coords for p in best_poly.points]],
+        [b[1] for b in [p.coords for p in best_poly.points]],
+    )
+    # plt.plot([b[0] for b in [p.coords for p in geometry.rotate_poly(best_poly,angle).points]],
+    # [b[1] for b in [p.coords for p in geometry.rotate_poly(best_poly,angle).points]])
+    noised = noise().points
+    plt.plot(
+        [b[0] for b in [p.coords for p in noised]],
+        [b[1] for b in [p.coords for p in noised]],
+        label='generated',
+    )
+    plt.legend()
+    plt.draw()
+    plt.gcf().canvas.flush_events()
+    time.sleep(0.08)
+
+plt.show()
diff --git a/gefest/tools/samplers/sampler.py b/gefest/tools/samplers/sampler.py
index 6cf24993c..1b9940a79 100644
--- a/gefest/tools/samplers/sampler.py
+++ b/gefest/tools/samplers/sampler.py
@@ -1,26 +1,44 @@
-from gefest.core.structure.domain import Domain
+from abc import ABCMeta, abstractmethod
+from typing import Any, Callable
 
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
 
-class Sampler:
-    """
-    ::TODO::
-    make abstract class for all samplers
-    """
-    def __init__(self, sampler, domain: 'Domain'):
-        """
-        Base sampler class
-        :param sampler: (Object) object with method sample
-        :param domain: (Domain) design domain
-        """
-        self.sampler = sampler
+
+class Sampler(metaclass=ABCMeta):
+    """Interface for samplers."""
+
+    def __init__(
+        self,
+        samples_generator: Callable[[Any], Structure],
+        domain: Domain,
+    ) -> None:
+        self.samples_generator = samples_generator
         self.domain = domain
 
-    def sample(self, n_samples: int):
-        """
-        Sampling from certain sampler
-        :param n_samples: (Int) number of samples
-        :return: (List(Structure)) sample n_samples structures
+    def __call__(
+        self,
+        n_samples: int,
+        **kwargs,
+    ) -> list[Structure]:
+        """Simplifies usage of samplers.
+
+        Args:
+            n_samples (int): Number of samples to generate.
+
+        Returns:
+            list[Structure]: Generated samples.
         """
-        samples = self.sampler.sample(n_samples=n_samples, domain=self.domain)
+        return self.sample(n_samples)
+
+    @abstractmethod
+    def sample(self, n_samples: int) -> list[Structure]:
+        """Must implement sampling logic.
 
-        return samples
+        Args:
+            n_samples (int): Number of samples to generate.
+
+        Returns:
+            list[Structure]: Generated samples.
+        """
+        ...
diff --git a/gefest/tools/samplers/sens_analysis/sens_sampler.py b/gefest/tools/samplers/sens_analysis/sens_sampler.py
index 5a2fae5d2..a9cbb8392 100644
--- a/gefest/tools/samplers/sens_analysis/sens_sampler.py
+++ b/gefest/tools/samplers/sens_analysis/sens_sampler.py
@@ -1,11 +1,11 @@
 from copy import deepcopy
 from multiprocessing import Pool
 
-from gefest.core.algs.postproc.resolve_errors import postprocess
 from gefest.core.opt.constraints import check_constraints
-from gefest.core.utils import project_root
-from gefest.core.structure.domain import Domain
 from gefest.core.opt.operators.sensitivity_methods import get_structure_for_analysis
+from gefest.core.opt.postproc.resolve_errors import postprocess
+from gefest.core.structure.domain import Domain
+from gefest.core.utils import project_root
 
 MAX_ITER = 50000
 NUM_PROC = 1
@@ -27,7 +27,7 @@ def sample(self, n_samples: int, domain: Domain, initial_state=None):
                         new_items = p.map(self.get_pop_worker, [domain] * n_samples)
                 else:
                     new_items = []
-                    for i in range(n_samples):
+                    for _ in range(n_samples):
                         new_items.append(self.get_pop_worker(domain))
 
                 for structure in new_items:
diff --git a/gefest/tools/samplers/standard/standard.py b/gefest/tools/samplers/standard/standard.py
index 969428da2..98926818c 100644
--- a/gefest/tools/samplers/standard/standard.py
+++ b/gefest/tools/samplers/standard/standard.py
@@ -1,56 +1,62 @@
-from copy import deepcopy
-from multiprocessing import Pool
-
-from gefest.core.algs.postproc.resolve_errors import postprocess
-from gefest.core.opt.constraints import check_constraints
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import get_random_structure
-
-MAX_ITER = 50000
-NUM_PROC = 1
-
-
-class StandardSampler:
-
-    def sample(self, n_samples: int, domain: Domain, initial_state=None):
-        # Method for initialization of population
-
-        population_new = []
-
-        if initial_state is None:
-            while len(population_new) < n_samples:
-                if NUM_PROC > 1:
-                    with Pool(NUM_PROC) as p:
-                        new_items = p.map(self.get_pop_worker, [domain] * n_samples)
-                else:
-                    new_items = []
-                    for i in range(n_samples):
-                        new_items.append(self.get_pop_worker(domain))
-
-                for structure in new_items:
-                    population_new.append(structure)
-                    if len(population_new) == n_samples:
-                        return population_new
-        else:
-            for _ in range(n_samples):
-                population_new.append(deepcopy(initial_state))
-        return population_new
-
-    def get_pop_worker(self, domain):
-        # Create a random structure and postprocess it
-        structure = get_random_structure(domain=domain)
-        structure = postprocess(structure, domain)
-        constraints = check_constraints(structure=structure, domain=domain)
-        max_attempts = 3  # Number of postprocessing attempts
-        while not constraints:
-            structure = postprocess(structure, domain)
-            constraints = check_constraints(structure=structure, domain=domain)
-            max_attempts -= 1
-            if max_attempts < 0:
-                # If the number of attempts is over,
-                # a new structure is created on which postprocessing is performed
-                structure = get_random_structure(domain=domain)
-                structure = postprocess(structure, domain)
-                constraints = check_constraints(structure=structure, domain=domain)
-
-        return structure
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from gefest.core.configs.optimization_params import OptimizationParams
+
+from functools import partial
+from typing import Callable
+
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.geometry.utils import get_random_structure
+from gefest.core.utils.parallel_manager import BaseParallelDispatcher
+from gefest.tools.samplers.sampler import Sampler
+
+
+class StandardSampler(Sampler):
+    """Generator of random structures.
+
+    The get_random_structure utility is used for structure generation.
+    The generated samples satisfy the domain configuration.
+    """
+
+    def __init__(self, opt_params: OptimizationParams) -> None:
+        super().__init__(
+            samples_generator=get_random_structure,
+            domain=opt_params.domain,
+        )
+        self.domain: Domain = opt_params.domain
+        self.postprocessor: Callable = opt_params.postprocessor
+        self.postprocess_attempts: int = opt_params.postprocess_attempts
+        self._pm = BaseParallelDispatcher(opt_params.n_jobs)
+
+    def __call__(self, n_samples: int) -> list[Structure]:
+        """Calls sample method."""
+        return self.sample(n_samples=n_samples)
+
+    def sample(self, n_samples: int) -> list[Structure]:
+        """Generates requested number of random samples.
+
+        Args:
+            n_samples (int): Number of samples to generate.
+
+        Returns:
+            list[Structure]: Generated samples.
+        """
+        random_pop = self._pm.exec_parallel(
+            partial(get_random_structure, domain=self.domain),
+            tuple(range(n_samples + 1)),
+            False,
+            False,
+        )
+        corrected = self._pm.exec_parallel(
+            self.postprocessor,
+            [(ind,) for ind in random_pop],
+        )
+
+        random_pop = [ind for ind in corrected if ind is not None]
+
+        pop = random_pop[:n_samples]
+        return pop
diff --git a/cases/synthetic/multiobj/__init__.py b/gefest/tools/tuners/__init__.py
similarity index 100%
rename from cases/synthetic/multiobj/__init__.py
rename to gefest/tools/tuners/__init__.py
diff --git a/gefest/core/algs/sensitivity/sa_core.py b/gefest/tools/tuners/sa.py
similarity index 80%
rename from gefest/core/algs/sensitivity/sa_core.py
rename to gefest/tools/tuners/sa.py
index b136f150e..538b7733f 100644
--- a/gefest/core/algs/sensitivity/sa_core.py
+++ b/gefest/tools/tuners/sa.py
@@ -1,11 +1,12 @@
 import itertools
 import time
 from copy import deepcopy
+
 import matplotlib.pyplot as plt
 
-from gefest.core.structure.structure import Structure
+from gefest.core.algs.geom.validation import intersection, out_of_bound, too_close
 from gefest.core.structure.point import Point
-from gefest.core.algs.geom.validation import out_of_bound, too_close, intersection
+from gefest.core.structure.structure import Structure
 
 
 class SensitivityAnalysisMethods:
@@ -28,9 +29,10 @@ def moving_position(self):
         structure = self.optimized_structure
         print(structure)
         for poly_num, poly in enumerate(structure.polygons):
-            poly.id = "poly_" + str(poly_num)
+            poly.id = 'poly_' + str(poly_num)
         init_fitness = round(
-            self.cost([structure])[0], 3
+            self.cost([structure])[0],
+            3,
         )  # only high of wave in multicreterial loss
 
         fitness_history = []
@@ -38,14 +40,14 @@ def moving_position(self):
         polygon_history = []
         fitness_history.append(init_fitness)
         structure_history.append(structure)
-        polygon_history.append(f"init_moving, fitness={init_fitness}")
+        polygon_history.append(f'init_moving, fitness={init_fitness}')
         current_fitness = init_fitness
 
         for poly_num, poly in enumerate(structure.polygons):
             step_fitness = 0
             max_attempts = 3
 
-            if poly.id != "fixed":
+            if poly.id != 'fixed':
                 moving_step = self.input_domain.geometry.get_length(polygon=poly) * 0.2
 
                 while step_fitness <= current_fitness and max_attempts > 0:
@@ -62,18 +64,20 @@ def moving_position(self):
 
                     if worse_res:
                         fitness_diff = round(
-                            100 * ((worse_res - current_fitness) / current_fitness), 1
+                            100 * ((worse_res - current_fitness) / current_fitness),
+                            1,
                         )
                         polygon_history.append(
-                            f"{str(poly.id)}, step={round(moving_step)},\
-                                                fitness=+{str(fitness_diff)}%"
+                            f'{str(poly.id)}, step={round(moving_step)},\
+                                                fitness=+{str(fitness_diff)}%',
                         )
                     else:
                         fitness_diff = round(
-                            100 * ((step_fitness - current_fitness) / current_fitness), 1
+                            100 * ((step_fitness - current_fitness) / current_fitness),
+                            1,
                         )
                         polygon_history.append(
-                            f"{str(poly.id)}, step={round(moving_step)}, fitness={str(fitness_diff)}%"
+                            f'{str(poly.id)}, step={round(moving_step)}, fitness={str(fitness_diff)}%',
                         )
 
                     if step_fitness >= current_fitness:
@@ -86,10 +90,14 @@ def moving_position(self):
         return fitness_history, structure_history, polygon_history
 
     def _moving_for_one_step(
-        self, structure: Structure, poly_number: int, moving_step, init_fitness
+        self,
+        structure: Structure,
+        poly_number: int,
+        moving_step,
+        init_fitness,
     ):
         moved_init_poly = structure.polygons[poly_number]
-        directions = ["north", "south", "east", "west", "n-w", "s-w", "n-e", "s-e"]
+        directions = ['north', 'south', 'east', 'west', 'n-w', 's-w', 'n-e', 's-e']
         results = {}
         worse_results = {}
 
@@ -106,7 +114,7 @@ def _moving_for_one_step(
                     out_of_bound(tmp_structure, self.input_domain),
                     too_close(tmp_structure, self.input_domain),
                     intersection(tmp_structure, self.input_domain),
-                ]
+                ],
             )
             if fitness < init_fitness and non_invalid:
                 results[fitness] = tmp_structure
@@ -125,14 +133,14 @@ def _moving_for_one_step(
 
     def _moving_point(self, direction: str, point: Point, moving_step) -> Point:
         directions = {
-            "north": Point(point.x + moving_step, point.y),
-            "south": Point(point.x - moving_step, point.y),
-            "east": Point(point.x, point.y + moving_step),
-            "west": Point(point.x, point.y - moving_step),
-            "n-w": Point(point.x + moving_step, point.y - moving_step),
-            "s-w": Point(point.x - moving_step, point.y + moving_step),
-            "n-e": Point(point.x + moving_step, point.y + moving_step),
-            "s-e": Point(point.x - moving_step, point.y - moving_step),
+            'north': Point(point.x + moving_step, point.y),
+            'south': Point(point.x - moving_step, point.y),
+            'east': Point(point.x, point.y + moving_step),
+            'west': Point(point.x, point.y - moving_step),
+            'n-w': Point(point.x + moving_step, point.y - moving_step),
+            's-w': Point(point.x - moving_step, point.y + moving_step),
+            'n-e': Point(point.x + moving_step, point.y + moving_step),
+            's-e': Point(point.x - moving_step, point.y - moving_step),
         }
         return directions[direction]
 
@@ -149,7 +157,7 @@ def exploring_combinations(self, structure: Structure, init_fitness):
 
         fitness_history.append(init_fitness)
         structure_history.append(structure)
-        polygon_history.append(f"init_combinations, fitness={init_fitness}")
+        polygon_history.append(f'init_combinations, fitness={init_fitness}')
         end_step_time = time.time()
         self.sa_time_history.append(end_step_time - self.start_time)
 
@@ -170,13 +178,13 @@ def exploring_combinations(self, structure: Structure, init_fitness):
                     ids = []
                     for polygon in tmp_structure.polygons:
                         ids.append(polygon.id)
-                    polygon_history.append(f"{str(ids)}, fitness={str(fitness_diff)}%")
-                    best_description.append(f"{str(ids)}, fitness={str(fitness_diff)}%")
+                    polygon_history.append(f'{str(ids)}, fitness={str(fitness_diff)}%')
+                    best_description.append(f'{str(ids)}, fitness={str(fitness_diff)}%')
                 else:
                     ids = []
                     for polygon in tmp_structure.polygons:
                         ids.append(polygon.id)
-                    polygon_history.append(f"{str(ids)}, fitness=+{str(fitness_diff)}%")
+                    polygon_history.append(f'{str(ids)}, fitness=+{str(fitness_diff)}%')
 
                 end_step_time = time.time()
                 self.sa_time_history.append(end_step_time - self.start_time)
@@ -187,9 +195,7 @@ def exploring_combinations(self, structure: Structure, init_fitness):
             finish_sample = best_samples[0]
         else:
             length = [len(struct.polygons) for struct in best_structures]
-            best_samples = list(
-                zip(best_fitness, best_structures, best_description, length)
-            )
+            best_samples = list(zip(best_fitness, best_structures, best_description, length))
             best_samples.sort(key=lambda x: x[3])
             finish_sample = best_samples[0][:-1]
 
@@ -206,7 +212,7 @@ def removing_points(self, structure: Structure, init_fitness):
 
         fitness_history.append(init_fitness)
         structure_history.append(structure)
-        polygon_history.append(f"init_removing_points, fitness={init_fitness}")
+        polygon_history.append(f'init_removing_points, fitness={init_fitness}')
         end_step_time = time.time()
         self.sa_time_history.append(end_step_time - self.start_time)
 
@@ -233,7 +239,8 @@ def removing_points(self, structure: Structure, init_fitness):
 
                         fitness = round(self.cost([tmp_structure])[0], 3)
                         fitness_diff = round(
-                            100 * ((fitness - current_fitness) / current_fitness), 1
+                            100 * ((fitness - current_fitness) / current_fitness),
+                            1,
                         )
 
                         structure_history.append(tmp_structure)
@@ -243,14 +250,14 @@ def removing_points(self, structure: Structure, init_fitness):
                             new_polygon = tmp_polygon
                             fitness_history.append(fitness)
                             polygon_history.append(
-                                f"{str(polygon.id)}, del={str(point.coords())},\
-                                                    fitness={str(fitness_diff)}%"
+                                f'{str(polygon.id)}, del={str(point.coords())},\
+                                                    fitness={str(fitness_diff)}%',
                             )
                         else:
                             fitness_history.append(current_fitness)
                             polygon_history.append(
-                                f"{str(polygon.id)}, del={str(point.coords())},\
-                                                    fitness=+{str(fitness_diff)}%"
+                                f'{str(polygon.id)}, del={str(point.coords())},\
+                                                    fitness=+{str(fitness_diff)}%',
                             )
 
                         end_step_time = time.time()
@@ -268,7 +275,8 @@ def removing_points(self, structure: Structure, init_fitness):
 
                         fitness = round(self.cost([tmp_structure])[0], 3)
                         fitness_diff = round(
-                            100 * ((fitness - current_fitness) / current_fitness), 1
+                            100 * ((fitness - current_fitness) / current_fitness),
+                            1,
                         )
 
                         structure_history.append(tmp_structure)
@@ -278,14 +286,14 @@ def removing_points(self, structure: Structure, init_fitness):
                             new_polygon = tmp_polygon
                             fitness_history.append(fitness)
                             polygon_history.append(
-                                f"{str(polygon.id)}, del={str(point.coords())},\
-                                                    fitness={str(fitness_diff)}%"
+                                f'{str(polygon.id)}, del={str(point.coords())},\
+                                                    fitness={str(fitness_diff)}%',
                             )
                         else:
                             fitness_history.append(current_fitness)
                             polygon_history.append(
-                                f"{str(polygon.id)}, del={str(point.coords())},\
-                                                    fitness=+{str(fitness_diff)}%"
+                                f'{str(polygon.id)}, del={str(point.coords())},\
+                                                    fitness=+{str(fitness_diff)}%',
                             )
 
                         end_step_time = time.time()
@@ -303,7 +311,7 @@ def rotate_objects(self, structure: Structure, init_fitness: int):
 
         fitness_history.append(init_fitness)
         structure_history.append(structure)
-        polygon_history.append(f"init_rotates, fitness={init_fitness}")
+        polygon_history.append(f'init_rotates, fitness={init_fitness}')
         end_step_time = time.time()
         self.sa_time_history.append(end_step_time - self.start_time)
 
@@ -315,7 +323,7 @@ def rotate_objects(self, structure: Structure, init_fitness: int):
 
             angles = list(range(45, 360, 45))
 
-            if poly.id != "fixed":
+            if poly.id != 'fixed':
                 for angle in angles:
                     tmp_structure = deepcopy(structure)
                     rotated_poly = deepcopy(poly)
@@ -330,7 +338,8 @@ def rotate_objects(self, structure: Structure, init_fitness: int):
                 best_poly_fit = min(tmp_fit_history)
                 idx_best = tmp_fit_history.index(best_poly_fit)
                 fitness_diff = round(
-                    100 * ((best_poly_fit[0] - curent_fitness) / curent_fitness), 1
+                    100 * ((best_poly_fit[0] - curent_fitness) / curent_fitness),
+                    1,
                 )
 
                 if best_poly_fit[0] < curent_fitness:
@@ -340,13 +349,13 @@ def rotate_objects(self, structure: Structure, init_fitness: int):
                     fitness_history.append(best_poly_fit[0])
                     structure_history.append(best_tmp_structure)
                     polygon_history.append(
-                        f"{str(poly.id)}, best_angle={best_poly_fit[1]}, fitnesss={fitness_diff}%"
+                        f'{str(poly.id)}, best_angle={best_poly_fit[1]}, fitnesss={fitness_diff}%',
                     )
                 else:
                     fitness_history.append(curent_fitness)
                     structure_history.append(tmp_str_history[idx_best])
                     polygon_history.append(
-                        f"{str(poly.id)}, best_angle={best_poly_fit[1]}, fitnesss=+{fitness_diff}%"
+                        f'{str(poly.id)}, best_angle={best_poly_fit[1]}, fitnesss=+{fitness_diff}%',
                     )
 
                 end_step_time = time.time()
@@ -358,7 +367,7 @@ def rotate_objects(self, structure: Structure, init_fitness: int):
 
         fitness_history.append(best_fitness)
         structure_history.append(best_structure)
-        polygon_history.append("best_structure after rotating polygons")
+        polygon_history.append('best_structure after rotating polygons')
 
         end_step_time = time.time()
         self.sa_time_history.append(end_step_time - self.start_time)
@@ -389,19 +398,20 @@ def analysis(self):
 
         mov_fitness, mov_structure, mov_poly = self.moving_position()
         rotated_fitness, rotated_structure, rotated_poly = self.rotate_objects(
-            mov_structure[-1], mov_fitness[-1]
+            mov_structure[-1],
+            mov_fitness[-1],
         )
         del_fitness, del_structure, del_poly = self.exploring_combinations(
-            rotated_structure[-1], rotated_fitness[-1]
+            rotated_structure[-1],
+            rotated_fitness[-1],
         )
         rm_points_fitness, rm_points_structure, rm_points_poly = self.removing_points(
-            del_structure[-1], del_fitness[-1]
+            del_structure[-1],
+            del_fitness[-1],
         )
 
         fitness_history = mov_fitness + rotated_fitness + del_fitness + rm_points_fitness
-        structure_history = (
-            mov_structure + rotated_structure + del_structure + rm_points_structure
-        )
+        structure_history = mov_structure + rotated_structure + del_structure + rm_points_structure
         poly_history = mov_poly + rotated_poly + del_poly + rm_points_poly
 
         time_history = self.get_time_history
@@ -446,32 +456,28 @@ def report_viz(analysis_result):
     fitness_difference = round(100 * (start_fit - end_fit) / start_fit, 1)
 
     fig, axd = plt.subplot_mosaic(
-        [["upper", "upper"], ["lower left", "lower right"]],
+        [['upper', 'upper'], ['lower left', 'lower right']],
         figsize=(15, 8),
         height_ratios=[1, 3],
     )
 
     fig.suptitle(
-        f"Sensitivity-based optimization report, spend={spend_time}sec,\
-                  fitness improved on {fitness_difference}%"
+        f'Sensitivity-based optimization report, spend={spend_time}sec,\
+                  fitness improved on {fitness_difference}%',
     )
 
-    initial_strucutre.plot(color="r", ax=axd["lower left"], legend=True)
-    axd["lower left"].set_title(
-        f"Initial structure, fitness={round(fitness_history[0], 3)}"
-    )
-    optimized_structure.plot(ax=axd["lower right"], legend=True)
-    axd["lower right"].set_title(
-        f"Processed structure, fitness={round(fitness_history[-1], 3)}"
-    )
+    initial_strucutre.plot(color='r', ax=axd['lower left'], legend=True)
+    axd['lower left'].set_title(f'Initial structure, fitness={round(fitness_history[0], 3)}')
+    optimized_structure.plot(ax=axd['lower right'], legend=True)
+    axd['lower right'].set_title(f'Processed structure, fitness={round(fitness_history[-1], 3)}')
 
-    axd["upper"].plot(fitness_history, c="c")
-    axd["upper"].scatter(x, y, marker="o", c="c")
+    axd['upper'].plot(fitness_history, c='c')
+    axd['upper'].scatter(x, y, marker='o', c='c')
     for idx, text in enumerate(descriptions):
-        axd["upper"].annotate(text, (x[idx] + 0.01, y[idx] + 0.01), rotation=45.0)
-    axd["upper"].set_xlabel("iteration of senitivity analysis")
-    axd["upper"].set_ylabel("loss - height of waves")
+        axd['upper'].annotate(text, (x[idx] + 0.01, y[idx] + 0.01), rotation=45.0)
+    axd['upper'].set_xlabel('iteration of senitivity analysis')
+    axd['upper'].set_ylabel('loss - height of waves')
 
     fig.tight_layout()
     plt.legend()
-    fig.savefig("sensitivity_report.png")
+    fig.savefig('sensitivity_report.png')
diff --git a/gefest/tools/tuners/tuner.py b/gefest/tools/tuners/tuner.py
new file mode 100644
index 000000000..36c0a8275
--- /dev/null
+++ b/gefest/tools/tuners/tuner.py
@@ -0,0 +1,142 @@
+from datetime import timedelta
+from enum import Enum
+from functools import partial
+from typing import Callable, Union
+
+from golem.core.optimisers.graph import OptGraph
+from golem.core.tuning.iopt_tuner import IOptTuner
+from golem.core.tuning.optuna_tuner import OptunaTuner
+from golem.core.tuning.search_space import OperationParametersMapping, SearchSpace
+from golem.core.tuning.sequential import SequentialTuner
+from golem.core.tuning.simultaneous import SimultaneousTuner
+from golem.utilities.data_structures import ensure_wrapped_in_sequence
+
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.tuner_objective import GolemObjectiveWithPreValidation
+from gefest.core.opt.postproc.resolve_errors import validate
+
+VarianceGeneratorType = Callable[[Structure], list[float]]
+GolemTunerType = Union[IOptTuner, OptunaTuner, SequentialTuner, SimultaneousTuner]
+
+
+class TunerType(Enum):
+    """Enumeration of all GOLEM tuner classes."""
+
+    iopt = IOptTuner
+    optuna = OptunaTuner
+    sequential = SequentialTuner
+    simulataneous = SimultaneousTuner
+
+
+class GolemTuner:
+    """Wrap for GOLEM tuners.
+
+    Provides interface for tuning stucture points coordinates.
+    For more details about tuners see:
+        https://thegolem.readthedocs.io/en/latest/api/tuning.html
+        https://fedot.readthedocs.io/en/latest/advanced/hyperparameters_tuning.html
+    """
+
+    def __init__(
+        self,
+        opt_params: OptimizationParams,
+        **kwargs,
+    ) -> None:
+        if opt_params.tuner_cfg is None:
+            raise ValueError('TunerParams config not provided. Check cofiguration file.')
+
+        self.log_dispatcher = opt_params.log_dispatcher
+        self.domain: Domain = opt_params.domain
+        self.validator = partial(validate, rules=opt_params.postprocess_rules, domain=self.domain)
+        self.tuner_type: str = opt_params.tuner_cfg.tuner_type
+        self.estimation_n_jobs: int = opt_params.estimation_n_jobs
+        self.adapter: Callable = opt_params.golem_adapter
+        self.objective = GolemObjectiveWithPreValidation(
+            quality_metrics={obj.__class__.__name__: obj for obj in opt_params.objectives},
+            validator=self.validator,
+            adapter=self.adapter,
+            is_multi_objective=len(opt_params.objectives) > 1,
+        )
+        self.hyperopt_distrib: Union[Callable, str] = opt_params.tuner_cfg.hyperopt_dist
+        self.n_steps_tune: int = opt_params.tuner_cfg.n_steps_tune
+        self.verbose: bool = opt_params.tuner_cfg.verbose
+        self.timeout = timedelta(minutes=opt_params.tuner_cfg.timeout_minutes)
+        self.generate_variances: VarianceGeneratorType = opt_params.tuner_cfg.variacne_generator
+
+    def _get_tuner(
+        self,
+        graph: OptGraph,
+        search_space: SearchSpace,
+    ) -> GolemTunerType:
+        kwargs = {
+            'objective_evaluate': self.objective,
+            'search_space': search_space,
+            'adapter': self.adapter,
+            'iterations': self.n_steps_tune,
+            'n_jobs': self.estimation_n_jobs,
+            'timeout': self.timeout,
+        }
+        if self.tuner_type == 'optuna':
+            kwargs['objectives_number'] = len(self.objective.metrics)
+
+        return getattr(TunerType, self.tuner_type).value(**kwargs)
+
+    def _generate_search_space(
+        self,
+        graph: OptGraph,
+        sampling_variances: list[float],
+    ) -> OperationParametersMapping:
+        return {
+            node.name: {
+                param: {
+                    'hyperopt-dist': self.hyperopt_distrib,
+                    'sampling-scope': [
+                        sampling_variances[(idx_node * 2) + idx_coord][0],
+                        sampling_variances[(idx_node * 2) + idx_coord][1],
+                    ],
+                    'type': 'continuous',
+                }
+                for idx_coord, param in enumerate(
+                    list(graph.nodes[idx_node].content['params'].keys()),
+                )
+            }
+            for idx_node, node in enumerate(graph.nodes)
+        }
+
+    def tune(
+        self,
+        objects_for_tune: Union[Structure, list[Structure]],
+    ) -> list[Structure]:
+        """Tunes coordinstes for all points in each provided structure.
+
+        Args:
+            objects_for_tune (Union[Structure, list[Structure]]): Structures for tune.
+
+        Returns:
+            list[Structure]: Tuned structures.
+        """
+        objects_for_tune = ensure_wrapped_in_sequence(objects_for_tune)
+
+        tuned_objects = []
+        for struct in objects_for_tune:
+            graph = self.adapter.adapt(struct)
+            search_space = self._generate_search_space(
+                graph,
+                self.generate_variances(struct, self.domain),
+            )
+            tuner = self._get_tuner(graph, SearchSpace(search_space))
+            tuned_structures = tuner.tune(graph)
+            metrics = tuner.obtained_metric
+
+            tuned_structures = ensure_wrapped_in_sequence(tuned_structures)
+            metrics = ensure_wrapped_in_sequence(tuner.obtained_metric)
+
+            for idx_, _ in enumerate(tuned_structures):
+                tuned_structures[idx_].fitness = metrics[idx_]
+
+        tuned_objects.extend(tuned_structures)
+        tuned_objects = sorted(tuned_objects, key=lambda x: x.fitness)
+        self.log_dispatcher.log_pop(tuned_objects, 'tuned')
+        return tuned_objects
diff --git a/gefest/tools/tuners/utils.py b/gefest/tools/tuners/utils.py
new file mode 100644
index 000000000..4c7189660
--- /dev/null
+++ b/gefest/tools/tuners/utils.py
@@ -0,0 +1,25 @@
+from gefest.core.geometry import Structure
+from gefest.core.geometry.domain import Domain
+
+
+def percent_edge_variance(
+    structure: Structure,
+    domain: Domain,
+    percent: float = 0.5,
+) -> list[float]:
+    """Generates tuning variance for each point.
+
+    Variance is equal to half the average edge length of the polygon.
+
+    Returns:
+        list[float]: list of variances for each point in structure
+    """
+    geom = domain.geometry
+    variances = []
+    for poly in structure:
+        avg = percent * geom.get_length(poly) / (len(poly) - int(geom.is_closed))
+        for point in poly:
+            for coord in point.coords:
+                variances.append((coord - avg, coord + avg))
+
+    return variances
diff --git a/gefest/tools/utils.py b/gefest/tools/utils.py
new file mode 100644
index 000000000..63920ea9f
--- /dev/null
+++ b/gefest/tools/utils.py
@@ -0,0 +1,33 @@
+import pickle
+
+import numpy as np
+import pandas as pd
+
+from gefest.core.geometry import Point, Polygon, Structure
+
+
+def poly_from_comsol_txt(path: str):
+    """Loads txt representation of comsol model.
+
+    Args:
+        path: path to txt file with comsol points
+
+    Returns:
+        Structure
+
+    """
+    res = pd.read_csv(path, sep=' ', header=None)
+    points = [[int(round(res.iloc[i, 0], 2)), int(round(res.iloc[i, 1], 2))] for i in res.index]
+    points = [Point(i[0], i[1]) for i in np.array(points)]
+    poly = Polygon(points=points)
+    struct = Structure(polygons=[poly])
+    return struct
+
+
+def load_pickle(path: str):
+    """Loads data from pickle."""
+    with open(path, 'rb') as f:
+        data = pickle.load(f)
+        f.close()
+
+    return data
diff --git a/requirements.txt b/requirements.txt
index 1f3dc8073..041636fd9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,17 +1,42 @@
 cython==0.29.36
-pandas>=1.1.0, <1.3.0; python_version == '3.7'
-pandas>=1.3.0; python_version >='3.8'
-dataclasses==0.7; python_version < '3.7'
-numpy==1.19.4
+numba==0.58.1
+pandas==1.4.4
+numpy==1.25.2
 typing==3.7.4.1
-matplotlib==3.0.2; python_version < '3.8'
-matplotlib==3.3.1; python_version == '3.8'
+matplotlib==3.6.3
 seaborn==0.9.0
 MPh==0.7.6
 pickledb==0.9.2
-shapely==1.7.1
-pytest>=6.2.*
+shapely==2.0.1
+pytest==7.4.2
 autodocsumm==0.2.11
-tqdm==4.64.1
-thegolem
-scikit-image
\ No newline at end of file
+tqdm==4.65.2
+thegolem==0.4.0
+scipy==1.9.3
+scikit-image==0.19.3
+scikit-learn==1.3.0
+pydantic==2.4.2
+autodoc_pydantic==2.0.1
+pydantic-yaml==1.1.1
+PyYAML==6.0.1
+moviepy==1.0.3
+joblib==1.3.2
+loguru==0.7.2
+polygenerator==0.2.0
+
+flake8==6.0.0
+brunette==0.2.8
+isort==5.12.0
+add-trailing-comma==3.0.1
+
+pep8-naming==0.13.3
+flake8-isort==6.0.0 
+flake8-bugbear==23.3.23
+flake8-builtins==2.1.0
+flake8-commas==2.1.0
+flake8-variables-names==0.0.5
+flake8-docstrings==1.7.0
+flake8-fixme==1.1.1
+flake8-comments==0.1.2
+flake8-comprehensions==3.14.0
+flake8-clean-block==0.1.2
diff --git a/run_experiment.py b/run_experiment.py
new file mode 100644
index 000000000..d0b391a40
--- /dev/null
+++ b/run_experiment.py
@@ -0,0 +1,37 @@
+import sys
+
+from loguru import logger
+from tqdm import tqdm
+
+from gefest.core.configs.utils import load_config
+from gefest.core.viz.struct_vizualizer import GIFMaker
+from gefest.tools.tuners.tuner import GolemTuner
+
+if __name__ == '__main__':
+
+    opt_params = load_config(
+        sys.argv[1],
+    )
+
+    optimizer = opt_params.optimizer(opt_params)
+    optimized_pop = optimizer.optimize()
+
+    # Optimized pop visualization
+    logger.info('Collecting plots of optimized structures...')
+    gm = GIFMaker(domain=opt_params.domain)
+    for st in tqdm(optimized_pop):
+        gm.create_frame(st, {'Optimized': st.fitness})
+
+    gm.make_gif('Optimized population', 500)
+
+    if opt_params.tuner_cfg:
+        tuner = GolemTuner(opt_params)
+        tuned_individuals = tuner.tune(optimized_pop[: opt_params.tuner_cfg.tune_n_best])
+
+        # Tuned structures visualization
+        logger.info('Collecting plots of tuned structures...')
+        gm = GIFMaker(domain=opt_params.domain)
+        for st in tqdm(tuned_individuals):
+            gm.create_frame(st, {'Tuned': st.fitness})
+
+        gm.make_gif('Tuned individuals', 500)
diff --git a/setup.cfg b/setup.cfg
new file mode 100644
index 000000000..de4422133
--- /dev/null
+++ b/setup.cfg
@@ -0,0 +1,25 @@
+[flake8]
+exclude = 
+    .git,.github,docs,__pycache__,env,venv,.venv,.ipynb_checkpoints,
+    nsga2.py,moead.py,age.py,analytics.py,sa.py,sens_sampler.py,
+    DL, serialization
+max-line-length = 100
+max-complexity = 10
+docstring-convention = google
+ignore = D100,D400,C812,VNE001,W503,E203,D107,D104,D105
+per-file-ignores = 
+    gefest\tools\optimizers\golem_optimizer\age.py:N803
+    __init__.py:F401
+    sound_interface.py:N806
+    comsol_interface.py:C901
+    test\*:D103
+
+[tool:brunette]
+exclude = .git,.github,docs,__pycache__,env,venv,.venv
+line-length = 100
+verbose = true
+single-quotes = true
+
+[isort]
+include_trailing_comma = true
+profile = black
diff --git a/setup.py b/setup.py
index 00f3d7070..ff48bc604 100644
--- a/setup.py
+++ b/setup.py
@@ -12,7 +12,7 @@
 SHORT_DESCRIPTION = 'The toolbox for the generative design of physical objects'
 README = Path(HERE, 'README.rst').read_text()
 URL = 'https://github.com/ITMO-NSS-team/GEFEST'
-REQUIRES_PYTHON = '>=3.7'
+REQUIRES_PYTHON = '>=3.9'
 LICENSE = 'BSD 3-Clause'
 
 
@@ -47,8 +47,7 @@ def _get_requirements(req_name: str):
     install_requires=_get_requirements('requirements.txt'),
     classifiers=[
         'License :: OSI Approved :: MIT License',
-        'Programming Language :: Python :: 3.7',
-        'Programming Language :: Python :: 3.8',
-        'Programming Language :: Python :: 3.9'
+        'Programming Language :: Python :: 3.9',
+        'Programming Language :: Python :: 3.10',
     ],
 )
diff --git a/test/files/standart_spl.pickle b/test/files/standart_spl.pickle
deleted file mode 100644
index b47325e2c..000000000
Binary files a/test/files/standart_spl.pickle and /dev/null differ
diff --git a/test/files/standart_structure.pickle b/test/files/standart_structure.pickle
deleted file mode 100644
index b778c4590..000000000
Binary files a/test/files/standart_structure.pickle and /dev/null differ
diff --git a/test/test_adapters.py b/test/test_adapters.py
new file mode 100644
index 000000000..1527204fc
--- /dev/null
+++ b/test/test_adapters.py
@@ -0,0 +1,33 @@
+from pathlib import Path
+
+from golem.core.optimisers.genetic.gp_params import GPAlgorithmParameters
+from golem.core.optimisers.optimization_parameters import GraphRequirements
+from golem.core.optimisers.optimizer import GraphGenerationParams
+
+from gefest.core.configs.utils import load_config
+from gefest.core.opt.adapters.configuration_mapping import (
+    map_into_gpa,
+    map_into_graph_generation_params,
+    map_into_graph_requirements,
+)
+
+filepath = Path(__file__)
+test_config = load_config(str(filepath.parent) + '/test_config.py')
+
+
+def test_mapping_into_graph_requirements():
+    """Test OptimizationParams translation into GraphRequirements."""
+    graph_requirements = map_into_graph_requirements(test_config)
+    assert isinstance(graph_requirements, GraphRequirements)
+
+
+def test_mapping_into_graph_generation_params():
+    """Test OptimizationParams translation into GraphGenerationParams."""
+    graph_generation_params = map_into_graph_generation_params(test_config)
+    assert isinstance(graph_generation_params, GraphGenerationParams)
+
+
+def test_mapping_into_gpa():
+    """Test OptimizationParams translation into GPAlgorithmParameters."""
+    gpa = map_into_gpa(test_config)
+    assert isinstance(gpa, GPAlgorithmParameters)
diff --git a/test/test_circle.py b/test/test_circle.py
deleted file mode 100644
index a25a377d2..000000000
--- a/test/test_circle.py
+++ /dev/null
@@ -1,16 +0,0 @@
-import numpy as np
-
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.structure import Structure
-
-
-"""
-::TODO::
-Rewrite corresponding to new GEFEST logic
-like a synthetic examples
-"""
-
-def test_fast():
-    pass
\ No newline at end of file
diff --git a/test/test_config.py b/test/test_config.py
new file mode 100644
index 000000000..a12dd0686
--- /dev/null
+++ b/test/test_config.py
@@ -0,0 +1,120 @@
+from gefest.core.configs.optimization_params import OptimizationParams
+from gefest.core.configs.tuner_params import TunerParams
+from gefest.core.geometry.datastructs.structure import Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.objective.objective import Objective
+from gefest.tools.estimators.estimator import Estimator
+
+
+# # # Metrics # # #
+class Area(Objective):
+    """Figure area."""
+
+    def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure) -> float:
+        area = 0
+        for poly in ind:
+            area += self.domain.geometry.get_square(poly)
+
+        area = abs(area - (50 * 50))
+        return area
+
+
+class Perimeter(Objective):
+    """Figure perimeter opposit ratio."""
+
+    def __init__(self, domain: Domain, estimator: Estimator = None) -> None:
+        super().__init__(domain, estimator)
+
+    def _evaluate(self, ind: Structure) -> float:
+        perimeter = 0
+        for poly in ind:
+            perimeter += 1 / self.domain.geometry.get_length(poly)
+
+        return perimeter
+
+
+# # # Precompute domain arguments # # #
+
+pass
+
+# # #
+
+domain_cfg = Domain(
+    allowed_area=[
+        [0, 0],
+        [0, 100],
+        [100, 100],
+        [100, 0],
+        [0, 0],
+    ],
+    name='main',
+    min_poly_num=1,
+    max_poly_num=1,
+    min_points_num=3,
+    max_points_num=15,
+    polygon_side=0.0001,
+    min_dist_from_boundary=0.0001,
+    geometry_is_convex=True,
+    geometry_is_closed=True,
+    geometry='2D',
+)
+
+tuner_cfg = TunerParams(
+    tuner_type='optuna',
+    n_steps_tune=50,
+    hyperopt_dist='uniform',
+    verbose=True,
+    timeout_minutes=60,
+)
+
+
+opt_params = OptimizationParams(
+    optimizer='gefest_ga',
+    domain=domain_cfg,
+    tuner_cfg=None,
+    n_steps=1,
+    pop_size=50,
+    postprocess_attempts=3,
+    mutation_prob=0.6,
+    crossover_prob=0.6,
+    mutations=[
+        'rotate_poly',
+        'resize_poly',
+        'add_point',
+        'drop_point',
+        'add_poly',
+        'drop_poly',
+        'pos_change_point',
+    ],
+    selector='tournament_selection',
+    multiobjective_selector='spea2',
+    mutation_each_prob=[0.125, 0.125, 0.15, 0.35, 0.00, 0.00, 0.25],
+    crossovers=[
+        'polygon_level',
+        'structure_level',
+    ],
+    crossover_each_prob=[0.0, 1.0],
+    postprocess_rules=[
+        'not_out_of_bounds',
+        'valid_polygon_geom',
+        'not_self_intersects',
+        'not_too_close_polygons',
+        # 'not_overlaps_prohibited',
+        'not_too_close_points',
+    ],
+    extra=5,
+    estimation_n_jobs=1,
+    n_jobs=-1,
+    log_dir='logs',
+    run_name='run_name',
+    golem_keep_histoy=False,
+    golem_genetic_scheme_type='steady_state',
+    golem_surrogate_each_n_gen=5,
+    objectives=[
+        Area(domain_cfg),
+        Perimeter(domain_cfg),
+    ],
+)
diff --git a/test/test_crossover.py b/test/test_crossover.py
index 70f769826..eddac2732 100644
--- a/test/test_crossover.py
+++ b/test/test_crossover.py
@@ -1,16 +1,23 @@
-from gefest.core.opt.operators.crossover import crossover
-from gefest.core.structure.domain import Domain
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.structure import Structure
-
-domain = Domain()
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.operators.crossovers import structure_level_crossover as crossover
+
+domain = Domain(
+    allowed_area=[
+        [0, 0],
+        [0, 100],
+        [100, 100],
+        [100, 0],
+        [0, 0],
+    ]
+)
 geometry = domain.geometry
 
 
 def create_rectangle(x, y, dim=5):
-    rectangle_points = [(x, y), (x, y+dim), (x+dim, y+dim), (x+dim, y), (x, y)]
-    rectangle_poly = Polygon(f'rectangle_from_{x,y}', points=[Point(*coords) for coords in rectangle_points])
+    """Rectangle generation util."""
+    rectangle_points = [(x, y), (x, y + dim), (x + dim, y + dim), (x + dim, y), (x, y)]
+    rectangle_poly = Polygon(points=[Point(*coords) for coords in rectangle_points])
     return rectangle_poly
 
 
@@ -19,41 +26,30 @@ def create_rectangle(x, y, dim=5):
 
 
 def test_crossover_passed():
-
-    expected_poly_positions = [structure_large.polygons[0].points, structure_small.polygons[1].points]
-    expected_square = geometry.get_square(structure_large.polygons[0])\
-        + geometry.get_square(structure_small.polygons[0])
+    """Crossober valid cases."""
+    expected_poly_positions = [
+        structure_large.polygons[0].points,
+        structure_small.polygons[1].points,
+    ]
+    expected_square = geometry.get_square(structure_large.polygons[0]) + geometry.get_square(
+        structure_small.polygons[0]
+    )
 
     condition = False
-    for i in range(100):
-        new_structure = crossover(structure_large, structure_small, domain)
+    for _ in range(100):
+        new_structure = crossover(structure_large, structure_small, domain)[0]
         if len(new_structure.polygons) == 2:
-            observed_square = geometry.get_square(new_structure.polygons[0]) + \
-                              geometry.get_square(new_structure.polygons[1])
-            condition = all([new_structure.polygons[0].points == expected_poly_positions[0],
-                            new_structure.polygons[1].points == expected_poly_positions[1],
-                            observed_square == expected_square])
+            observed_square = geometry.get_square(new_structure.polygons[0]) + geometry.get_square(
+                new_structure.polygons[1]
+            )
+            condition = all(
+                [
+                    new_structure.polygons[0].points == expected_poly_positions[0],
+                    new_structure.polygons[1].points == expected_poly_positions[1],
+                    observed_square == expected_square,
+                ]
+            )
             if condition:
                 break
-    assert condition
-
-
-def test_crossover_fail():
 
-    new_structure = crossover(structure_large, structure_small, domain, rate=0.001)
-    assert any([new_structure == structure_large, new_structure == structure_small])
-
-    empty_structure = Structure(polygons=[])
-    structure_with_one_poly = Structure(polygons=[create_rectangle(5, 5)])
-    new_structure = crossover(empty_structure, structure_with_one_poly, domain, rate=0.999)
-    assert any([new_structure == empty_structure, new_structure == structure_with_one_poly])
-
-
-def test_crossover_empty_structure():
-    empty_structure = Structure(polygons=[])
-    structure_with_polygons = Structure(polygons=[create_rectangle(5, 5), create_rectangle(5, 15),
-                                                  create_rectangle(15, 5, 3), create_rectangle(15, 15, 3)])
-    observed_structure = crossover(empty_structure, structure_with_polygons, domain, rate=0.999)
-
-    assert all([len(observed_structure.polygons) > 0,
-                len(observed_structure.polygons) <= len(structure_with_polygons.polygons)])
+    assert condition
diff --git a/test/test_domain.py b/test/test_domain.py
new file mode 100644
index 000000000..5b7e6bdc8
--- /dev/null
+++ b/test/test_domain.py
@@ -0,0 +1,62 @@
+from contextlib import nullcontext as no_exception
+
+import pytest
+
+from gefest.core.geometry.domain import Domain
+
+
+class TestDomain:
+    """Domain class tests collection."""
+
+    @pytest.mark.parametrize(
+        ', '.join(
+            [
+                'allowed_area',
+                'min_poly_num',
+                'max_poly_num',
+                'min_points_num',
+                'max_points_num',
+                'geometry_is_closed',
+                'expectation',
+            ]
+        ),
+        [
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 3, 6, True, no_exception()),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 3, 3, True, no_exception()),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 2, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 2, 2, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 2, 6, False, no_exception()),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 2, 2, False, no_exception()),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 1, 2, False, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 1, 1, False, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4)], 1, 2, 3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4)], 1, 2, 3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 2, 1, 3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, 6, 3, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], -1, 2, 3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], -2, -1, 3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, -3, 6, True, pytest.raises(ValueError)),
+            ([(1, 2), (3, 4), (4, 0)], 1, 2, -6, -3, True, pytest.raises(ValueError)),
+        ],
+    )
+    def test_domain_init_validity(
+        self,
+        allowed_area,
+        min_poly_num,
+        max_poly_num,
+        min_points_num,
+        max_points_num,
+        geometry_is_closed,
+        expectation,
+    ):
+        """Test doamin init fails on invalid configurations."""
+        with expectation:
+            domain = Domain(
+                allowed_area=allowed_area,
+                min_poly_num=min_poly_num,
+                max_poly_num=max_poly_num,
+                min_points_num=min_points_num,
+                max_points_num=max_points_num,
+                geometry_is_closed=geometry_is_closed,
+            )
+            assert isinstance(domain, Domain) is True
diff --git a/test/test_geometry2D.py b/test/test_geometry2D.py
index b0f2586b8..bd3f7234e 100755
--- a/test/test_geometry2D.py
+++ b/test/test_geometry2D.py
@@ -1,13 +1,15 @@
-import pytest
+from contextlib import nullcontext as no_exception
+
 import numpy as np
+import pytest
+from shapely.geometry import LineString, MultiPolygon
+from shapely.geometry import Point as ShapelyPoint
+from shapely.geometry import Polygon as ShapelyPolygon
 
+from gefest.core.geometry import Point, Polygon, Structure
 from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.structure import Structure
-from gefest.core.algs.geom.validation import self_intersection
 
-geometry = Geometry2D(is_closed=True)
+geometry = Geometry2D(is_convex=True, is_closed=True)
 # marking length and width for testing polygon
 poly_width = 10
 poly_length = 20
@@ -19,14 +21,10 @@
     (poly_width, poly_length),
     (poly_width, 0),
 ]
-rectangle_poly = Polygon(
-    "rectangle", points=[Point(*coords) for coords in rectangle_points]
-)
+rectangle_poly = Polygon(points=[Point(*coords) for coords in rectangle_points])
 
 triangle_points = [(0, 0), (poly_width, poly_length), (0, poly_length)]
-triangle_poly = Polygon(
-    "triangle", points=[Point(*coords) for coords in triangle_points]
-)
+triangle_poly = Polygon(points=[Point(*coords) for coords in triangle_points])
 
 incorrect_points = [
     (0, 0),
@@ -36,9 +34,7 @@
     (-poly_width, -poly_length),
     (0, 0),
 ]
-incorrect_poly = Polygon(
-    "incorrect_poly", points=[Point(*coords) for coords in incorrect_points]
-)
+incorrect_poly = Polygon(points=[Point(*coords) for coords in incorrect_points])
 
 # creating an expected rotated polygon for testing rotate_poly() function
 exp_coords = [
@@ -47,14 +43,11 @@
     (poly_length - poly_width / 2, poly_length - poly_width / 2),
     (poly_length - poly_width / 2, poly_width / 2),
 ]
-exp_rectangle_poly = Polygon(
-    polygon_id="expected", points=[Point(*coords) for coords in exp_coords]
-)
+exp_rectangle_poly = Polygon(points=[Point(*coords) for coords in exp_coords])
 
 
 def test_resize_poly():
-    """Test for resize_poly function from Geometry2D class"""
-
+    """Test for resize_poly function from Geometry2D class."""
     x_scale = 2
     y_scale = 3
 
@@ -73,16 +66,13 @@ def test_resize_poly():
     assert np.isclose(observed_difference, expected_difference)
 
 
-@pytest.mark.parametrize(
-    "angle, expected_poly", [(90, exp_rectangle_poly), (180, rectangle_poly)]
-)
+@pytest.mark.parametrize('angle, expected_poly', [(90, exp_rectangle_poly), (180, rectangle_poly)])
 def test_rotate_poly(angle, expected_poly):
-    """Test for rotate_poly function from Geometry2D class"""
-
+    """Test for rotate_poly function from Geometry2D class."""
     rotate_poly = geometry.rotate_poly(rectangle_poly, angle=angle)
 
-    rotated_coords = [tuple(coords.coords()) for coords in rotate_poly.points]
-    expected_coords = [tuple(coords.coords()) for coords in expected_poly.points]
+    rotated_coords = [tuple(coords.coords) for coords in rotate_poly.points]
+    expected_coords = [tuple(coords.coords) for coords in expected_poly.points]
 
     assert set(rotated_coords).issubset(expected_coords) and len(rotated_coords) == len(
         expected_coords
@@ -90,24 +80,25 @@ def test_rotate_poly(angle, expected_poly):
 
 
 @pytest.mark.parametrize(
-    "figure, expected_poly",
+    'figure, expected_poly',
     [
         (rectangle_poly, poly_width * poly_length),
         (triangle_poly, poly_width * poly_length / 2),
+        (Polygon([]), 0.0),
+        (Polygon([Point(4, 33)]), 0.0),
+        (Polygon([Point(0.234, 111), Point(42, 42)]), 0.0),
     ],
 )
 def test_get_square(figure, expected_poly):
-    """Test for get_square function from Geometry2D class"""
-
+    """Test for get_square function from Geometry2D class."""
     observed_square = geometry.get_square(figure)
 
     assert observed_square == expected_poly
 
 
-@pytest.mark.parametrize("figure", [rectangle_poly, triangle_poly])
+@pytest.mark.parametrize('figure', [rectangle_poly, triangle_poly])
 def test_contains_point(figure):
-    """Test for get_square function from Geometry2D class"""
-
+    """Test for get_square function from Geometry2D class."""
     expected_point = Point(1, 3)
     assert geometry.is_contain_point(figure, expected_point)
 
@@ -116,32 +107,400 @@ def test_contains_point(figure):
 
 
 @pytest.mark.parametrize(
-    "figure_1, figure_2, expected_point",
+    'figure_1, figure_2, expected_point',
     [(Point(*rectangle_points[3]), rectangle_poly, Point(*rectangle_points[3]))],
 )
 def test_nearest_point(figure_1, figure_2, expected_point):
-    """Test for nearest_point function from Geometry2D class"""
+    """Test for nearest_point function from Geometry2D class."""
     observed_point = geometry.nearest_point(figure_1, figure_2)
 
-    assert observed_point.coords() == expected_point.coords()
-
-
-def test_get_convex():
-    """Test for get_convex function from Geometry2D class"""
-    poly_to_structure = Structure([incorrect_poly])
-    assert self_intersection(poly_to_structure)
-
-    transformed_poly = geometry.get_convex(*poly_to_structure.polygons)
-    poly_to_structure = Structure([transformed_poly])
-    assert not self_intersection(poly_to_structure)
+    assert observed_point.coords == expected_point.coords
 
 
 def test_intersects():
-    """Test for intersects function from Geometry2D class"""
+    """Test for intersects function from Geometry2D class."""
     assert geometry.intersects(Structure([rectangle_poly]))
 
 
 def test_distance():
-    """Test for distance function from Geometry2D class"""
+    """Test for distance function from Geometry2D class."""
     dist_1 = geometry.min_distance(rectangle_poly, triangle_poly)
     assert np.isclose(dist_1, 0)
+
+
+def test_get_coords_from_linestring():
+    """Test coordinate sequence extraction from LineString."""
+    poly = LineString([(1, 2), (5, 6), (9, 3), (-5, 4)])
+    coords = geometry.get_coords(poly)
+    for idx_, point in enumerate(coords):
+        assert isinstance(point, Point)
+        assert poly.coords[idx_][0] == point.x and poly.coords[idx_][1] == point.y
+
+
+def test_get_coords_from_polygon():
+    """Test coordinate sequence extraction from Shapely polygon."""
+    poly = ShapelyPolygon([(1, 2), (5, 6), (9, 3), (-5, 4)])
+    coords = geometry.get_coords(poly)
+    for idx_, point in enumerate(coords):
+        assert isinstance(point, Point)
+        assert poly.exterior.coords[idx_][0] == point.x and poly.exterior.coords[idx_][1] == point.y
+
+
+@pytest.mark.parametrize(
+    'points, angle',
+    [
+        ([11.005, -64.857, 89.07, -64.726, -44.4, 85.793, -98.744, -92.078], 107.085),
+        ([52.247, -71.305, -24.941, -76.395, -77.306, -23.818, -84.436, 21.887], 84.906),
+        ([-30.254, -50.595, -33.423, -17.237, 50.411, -53.9, -2.564, 10.087], 34.195),
+        ([59.303, -20.546, 8.75, 67.479, 57.728, 90.01, 15.964, 30.346], 115.140),
+        ([1.819, 1.014, 26.314, 1.47, 61.46, 40.183, 73.859, -52.156], 83.419),
+        ([92.984, 6.033, -8.616, 86.894, -58.711, -25.121, 97.113, 6.373], 130.058),
+        ([18.441, -27.842, 35.068, 97.597, 92.422, -73.318, -96.445, -61.18], 93.873),
+        ([-32.867, 67.926, -26.673, 16.294, 66.072, 80.615, 42.02, 86.934], 111.561),
+        ([43.228, 1.783, 77.274, 26.93, 36.935, 87.716, 29.722, 83.792], 172.097),
+        ([-63.721, 56.527, 85.56, -3.208, 13.333, -84.431, -24.992, 88.125], 124.331),
+        ([-76.41, -55.305, -9.261, 62.624, -94.735, -54.516, 92.331, 53.921], 30.243),
+        ([65.439, 89.936, -76.353, -63.397, 41.992, 25.995, 54.238, 51.099], 163.243),
+        ([-89.095, 5.421, 87.319, 39.346, -3.067, -24.067, -60.851, 20.656], 131.376),
+        ([-12.762, 87.586, 76.559, -93.63, 75.78, -95.736, -0.895, -16.672], 162.117),
+        ([-83.683, 63.124, 95.196, 63.648, -21.132, -37.336, -47.284, -49.189], 155.786),
+        ([-36.463, -60.168, -39.688, -86.484, -70.261, -58.015, 79.795, -79.932], 88.677),
+        ([-40.037, 82.116, -88.299, 43.377, -86.184, -57.963, 72.363, 56.635], 177.106),
+        ([50.369, -50.69, 65.929, 70.203, 91.523, -30.051, -20.591, -40.274], 102.544),
+        ([-39.418, 48.318, -93.891, -50.31, 0.702, -77.033, -87.242, 0.075], 102.332),
+        ([-55.45, -44.895, 73.163, 3.177, -65.699, 59.205, -6.874, 72.387], 7.864),
+        ([60.527, 48.915, 45.849, 54.572, -9.914, 81.24, -53.91, -82.924], 96.074),
+        ([-89.957, 32.749, -25.919, 38.302, -72.819, 84.286, -54.435, -67.978], 88.072),
+        ([-11.579, -86.434, -70.09, -98.124, -25.815, 65.467, 91.87, 58.349], 165.24),
+        ([-50.353, -33.626, 2.378, 36.718, 70.838, 57.234, 77.679, 37.047], 124.424),
+        ([-14.229, 72.8, -33.585, -47.179, 78.455, 48.313, -4.602, 85.821], 105.139),
+        ([56.139, -75.325, -74.361, -72.867, -11.745, -35.636, 83.574, -57.986], 167.883),
+        ([33.926, 77.767, 79.51, 10.045, -23.641, -6.021, -16.838, -25.08], 14.301),
+        ([94.841, 59.284, -5.852, -43.094, 90.994, -68.019, 81.106, 25.351], 129.43),
+        ([-23.61, 90.336, 75.407, 9.779, 5.59, -80.629, -87.663, 15.554], 173.245),
+        ([-51.581, 21.225, 6.398, 97.242, -45.745, 30.03, -69.674, -57.325], 157.986),
+    ],
+)
+def test_get_angle_between_two_vectors(points, angle):
+    """Test angle evaluation between two segments."""
+    v1 = (Point(points[0], points[1]), Point(points[2], points[3]))
+    v2 = (Point(points[4], points[5]), Point(points[6], points[7]))
+    assert round(geometry.get_angle(vector1=v1, vector2=v2), 3) == angle
+
+
+@pytest.mark.parametrize(
+    'poly, perimeter',
+    [
+        ([], 0.0),
+        ([(-37.072, -23.071)], 0.0),
+        ([(-37.072, -23.071), (-88.869, 6.951)], 0.0),
+        (
+            [
+                (-37.072, -23.071),
+                (-88.869, 6.951),
+                (-92.754, 14.865),
+                (-81.354, 86.284),
+                (90.567, 85.27),
+                (93.778, 32.003),
+                (-15.131, -21.75),
+                (-37.072, -23.071),
+            ],
+            509.728,
+        ),
+        ([(58.695, 30.38), (22.189, 69.546), (-3.151, 97.928), (58.695, 30.38)], 183.173),
+        (
+            [
+                (-54.024, -33.25),
+                (24.61, 53.479),
+                (74.444, 99.953),
+                (70.353, 8.636),
+                (-54.024, -33.25),
+            ],
+            407.86,
+        ),
+        ([(63.546, -58.201), (-45.237, -45.838), (-94.31, -33.745), (63.546, -58.201)], 319.764),
+        (
+            [
+                (-20.672, -95.466),
+                (-96.978, -61.793),
+                (-37.997, 85.886),
+                (68.013, 21.485),
+                (74.135, 5.526),
+                (52.425, -69.268),
+                (-20.672, -95.466),
+            ],
+            539.09,
+        ),
+        ([(79.756, -86.617), (-91.239, 5.298), (60.69, 81.567), (79.756, -86.617)], 533.393),
+    ],
+)
+def test_get_length(poly, perimeter):
+    """Test perimeter evaluation."""
+    poly = Polygon([Point(p[0], p[1]) for p in poly])
+    assert round(geometry.get_length(poly), 3) == perimeter
+
+
+@pytest.mark.parametrize(
+    'poly1, poly2, point',
+    [
+        (
+            [
+                [23.510440502339172, 87.18800203359015],
+                [16.728428841295475, 78.83261611687797],
+                [15.943128351745916, 71.8323686138699],
+                [14.968358551861787, 60.697606629037665],
+                [15.98053630885347, 56.32450382712932],
+                [18.224675800169624, 51.74547631191035],
+                [23.251098873883357, 47.709092938597536],
+                [37.042664281727006, 41.305417493336904],
+                [51.730349052022, 44.20922648597759],
+                [55.34132820718901, 49.41624230136715],
+                [60.850943092115024, 67.42906177406988],
+                [60.151315546637846, 74.71046392129718],
+                [59.518673819913424, 78.65796622807729],
+                [52.07357384362214, 85.58361278820249],
+                [23.510440502339172, 87.18800203359015],
+            ],
+            [
+                [74.9022124262444, 93.0289081710956],
+                [31.663987128692675, 91.89004979620276],
+                [2.730841594823005, 86.30033381726267],
+                [22.78157251716534, 17.337530029563908],
+                [64.10004584470703, 5.75267485325562],
+                [90.00707491266297, 19.79187044181077],
+                [89.32384098619943, 44.0676925105978],
+                [74.9022124262444, 93.0289081710956],
+            ],
+            (22.928, 90.202),
+        ),
+        (
+            [
+                [57.71183334020465, 87.67463234064934],
+                [50.51452081685844, 85.13327478815634],
+                [30.955034306867688, 78.09064628693557],
+                [15.540522562298474, 58.754663565913],
+                [1.2232768952884996, 37.53545119447447],
+                [4.409631720280423, 32.084677628498895],
+                [21.337745400878735, 14.100332298030487],
+                [45.53144355498544, 5.9691262699021905],
+                [69.27066967989211, 10.503485124834029],
+                [78.81759801703856, 17.964969806084518],
+                [82.92878296603564, 26.916540104922777],
+                [78.69611307678483, 55.24020506910037],
+                [70.40562083667376, 75.50919725166787],
+                [57.71183334020465, 87.67463234064934],
+            ],
+            [
+                [59.968260417247265, 79.11121326005193],
+                [49.31168043482422, 74.20136803281687],
+                [46.06820788459176, 71.40410908407036],
+                [22.85222067774701, 47.932664979947454],
+                [17.72673217438215, 39.19834540946594],
+                [16.55881233231551, 13.981349428132969],
+                [20.577748110574603, 6.1976506767562185],
+                [21.974885499741816, 5.090091461486203],
+                [50.24129554183121, 3.652798439526869],
+                [56.637416610581845, 5.192537418677539],
+                [69.00166666058895, 13.468678235144367],
+                [83.46285749897223, 25.30437699123355],
+                [92.01722715284058, 37.490366203765866],
+                [91.66558358035604, 59.206524582221945],
+                [66.76050969454376, 78.94647443873782],
+                [59.968260417247265, 79.11121326005193],
+            ],
+            (16.788, 18.934),
+        ),
+        (
+            [
+                [41.57797516558374, 29.529792504473726],
+                [39.45332651363959, 29.114683202717007],
+                [34.84855968966326, 27.91300159267978],
+                [32.88590087135793, 27.194306457226904],
+                [32.92315979503104, 20.751070646641686],
+                [33.43819137916439, 18.581875250584844],
+                [41.811840139813384, 8.566101194161112],
+                [45.496182969672034, 8.628727442113128],
+                [50.096224072686724, 10.170585774637484],
+                [53.849592181670545, 16.33796871836694],
+                [53.06262872357211, 26.549357682842025],
+                [45.6416971669762, 29.386565620239843],
+                [41.57797516558374, 29.529792504473726],
+            ],
+            [
+                [69.08902933506229, 93.01082354892503],
+                [52.56687631956849, 90.81426107786706],
+                [31.061085190433097, 82.26775080375413],
+                [4.404951627468357, 38.84916757848918],
+                [15.985917277009627, 12.435977235478646],
+                [20.768028561626043, 7.772087054811841],
+                [53.651812779362785, 3.2388064175488935],
+                [83.71815758768406, 13.736787948448892],
+                [93.12113335254287, 17.472924469847804],
+                [94.17696875884448, 25.009223128368834],
+                [93.03047974913059, 84.4360952349468],
+                [87.631359798438, 91.02602964006971],
+                [69.08902933506229, 93.01082354892503],
+            ],
+            (41.312, 4.94),
+        ),
+    ],
+)
+def test_nearest_points(poly1, poly2, point):
+    """Test evaluation of neatest point to polygon in another polygon."""
+    point_res = geometry.nearest_points(
+        Polygon([Point(p[0], p[1]) for p in poly1]),
+        Polygon([Point(p[0], p[1]) for p in poly2]),
+    )
+    assert (
+        round(point_res.coords[0][0], 3) == point[0]
+        and round(point_res.coords[0][1], 3) == point[1]
+    )
+
+
+@pytest.mark.parametrize(
+    'poly, tolerance, expected',
+    [
+        (
+            [
+                (34.2, 16.2),
+                (77.4, 16.4),
+                (56.0, 30.2),
+                (56.0, 55.0),
+                (76.8, 75.8),
+                (29.2, 75.4),
+                (55.2, 55.4),
+            ],
+            0.5,
+            [
+                [34.158141791159785, 16.174805944079168],
+                [55.16794940775614, 55.39311349505902],
+                [29.12729011351953, 75.42438987524103],
+                [76.86086771515441, 75.82551237609509],
+                [56.025, 54.98964466094067],
+                [56.025, 30.213625817351218],
+                [77.48429325712596, 16.375389978643824],
+                [34.158141791159785, 16.174805944079168],
+            ],
+        ),
+        (
+            [
+                (34.2, 16.2),
+                (77.4, 16.4),
+                (56.0, 30.2),
+                (56.0, 55.0),
+                (76.8, 75.8),
+                (29.2, 75.4),
+                (55.2, 55.4),
+            ],
+            1,
+            [
+                [34.116283582319575, 16.149611888158326],
+                [55.13589881551228, 55.386226990118026],
+                [29.054580227039043, 75.44877975048206],
+                [76.92173543030884, 75.8510247521902],
+                [56.05, 54.97928932188134],
+                [56.05, 30.227251634702437],
+                [77.56858651425193, 16.350779957287646],
+                [34.116283582319575, 16.149611888158326],
+            ],
+        ),
+        (
+            [
+                (34.2, 16.2),
+                (77.4, 16.4),
+                (56.0, 30.2),
+                (56.0, 55.0),
+                (76.8, 75.8),
+                (29.2, 75.4),
+                (55.2, 55.4),
+            ],
+            10,
+            [
+                [34.2, 16.2],
+                [77.4, 16.4],
+                [56.0, 30.2],
+                [56.0, 55.0],
+                [76.8, 75.8],
+                [29.2, 75.4],
+                [55.2, 55.4],
+                [34.2, 16.2],
+            ],
+        ),
+        (
+            [(21.0, 14.8), (79.2, 20.4), (43.8, 63.8)],
+            0.5,
+            [
+                [20.958899610984233, 14.770929861582594],
+                [43.79416105729854, 63.846711040065124],
+                [79.24890909236552, 20.37959056769488],
+                [20.958899610984233, 14.770929861582594],
+            ],
+        ),
+        (
+            [(21.0, 14.8), (79.2, 20.4), (43.8, 63.8)],
+            1,
+            [
+                [20.917799221968462, 14.74185972316519],
+                [43.788322114597094, 63.893422080130236],
+                [79.29781818473103, 20.35918113538976],
+                [20.917799221968462, 14.74185972316519],
+            ],
+        ),
+        (
+            [(21.0, 14.8), (79.2, 20.4), (43.8, 63.8)],
+            10,
+            [
+                [20.177992219684604, 14.218597231651893],
+                [43.68322114597095, 64.73422080130236],
+                [80.17818184731024, 19.99181135389765],
+                [20.177992219684604, 14.218597231651893],
+            ],
+        ),
+        (
+            [(25.2, 19.8), (81.4, 21.0), (25.8, 64.6), (76.8, 68.6)],
+            0.5,
+            [[25.2, 19.8], [25.8, 64.6], [76.8, 68.6], [81.4, 21.0], [25.2, 19.8]],
+        ),
+        (
+            [(25.2, 19.8), (81.4, 21.0), (25.8, 64.6), (76.8, 68.6)],
+            1,
+            [[25.2, 19.8], [25.8, 64.6], [76.8, 68.6], [81.4, 21.0], [25.2, 19.8]],
+        ),
+        (
+            [(25.2, 19.8), (81.4, 21.0), (25.8, 64.6), (76.8, 68.6)],
+            10,
+            [[25.2, 19.8], [25.8, 64.6], [76.8, 68.6], [81.4, 21.0], [25.2, 19.8]],
+        ),
+    ],
+)
+def test_simplify(poly, tolerance, expected):
+    """Test polygon simplification."""
+    res = geometry.simplify(
+        Polygon([Point(p[0], p[1]) for p in poly]),
+        tolerance,
+    )
+    assert [[p.x, p.y] for p in res] == expected
+
+
+@pytest.mark.parametrize(
+    'shapely_geom, expectation',
+    [
+        (ShapelyPolygon([(195, 46), (36, 128), (341, 250)]), no_exception()),
+        (
+            MultiPolygon(
+                [
+                    ShapelyPolygon([(195, 46), (36, 128), (341, 250)]),
+                    ShapelyPolygon([(300, 458), (448, 455), (440, 310)]),
+                ]
+            ),
+            no_exception(),
+        ),
+        (ShapelyPolygon(), pytest.raises(ValueError)),
+        (MultiPolygon(), pytest.raises(ValueError)),
+    ],
+)
+def test_get_random_point_in_shapey_geom(shapely_geom, expectation):
+    """Test random point selection in arbitrary geometries."""
+    with expectation:
+        point = geometry.get_random_point_in_shapey_geom(shapely_geom)
+        assert shapely_geom.contains(ShapelyPoint(point.coords))
diff --git a/test/test_geometry_utils.py b/test/test_geometry_utils.py
new file mode 100644
index 000000000..026e8254e
--- /dev/null
+++ b/test/test_geometry_utils.py
@@ -0,0 +1,87 @@
+from contextlib import nullcontext as no_exception
+
+import pytest
+from shapely.ops import unary_union
+
+from gefest.core.geometry import Polygon, Structure
+from gefest.core.geometry.datastructs.point import Point
+from gefest.core.geometry.domain import Domain
+from gefest.core.geometry.utils import get_convex_safe_area
+
+
+class TestConvexSafeArea:
+    """Utility tests for convex-safe selection of new points."""
+
+    domain = Domain(
+        allowed_area=[
+            [0, 0],
+            [0, 100],
+            [100, 100],
+            [100, 0],
+            [0, 0],
+        ],
+        min_poly_num=1,
+        max_poly_num=1,
+        min_points_num=3,
+        max_points_num=15,
+        polygon_side=0.0001,
+        min_dist_from_boundary=0.0001,
+        geometry_is_convex=True,
+        geometry_is_closed=True,
+        geometry='2D',
+    )
+
+    poly_points1 = [(21, 55), (18, 44), (41, 13), (48, 13), (56, 43)]
+    test_poly1 = Polygon(Point(p[0], p[1]) for p in poly_points1)
+    test_structure = Structure([test_poly1])
+
+    @pytest.mark.parametrize(
+        ', '.join(
+            [
+                'poly',
+                'domain',
+                'point_left_idx',
+                'point_right_idx',
+                'structure',
+                'poly_idx',
+                'expectation',
+            ],
+        ),
+        [
+            (test_poly1, domain, 0, 1, test_structure, 0, no_exception()),
+            (test_poly1, domain, 1, 2, test_structure, 0, no_exception()),
+            (test_poly1, domain, 2, 3, test_structure, 0, no_exception()),
+            (test_poly1, domain, 3, 4, test_structure, 0, no_exception()),
+            (test_poly1, domain, 4, 0, test_structure, 0, no_exception()),
+            (test_poly1, domain, 0, 2, test_structure, 0, no_exception()),
+            (test_poly1, domain, 1, 3, test_structure, 0, no_exception()),
+            (test_poly1, domain, 2, 4, test_structure, 0, no_exception()),
+            (test_poly1, domain, 3, 0, test_structure, 0, no_exception()),
+            (test_poly1, domain, 4, 1, test_structure, 0, no_exception()),
+        ],
+    )
+    def test_convex_safe_area_saves_convexity_neighbour_indices(
+        self,
+        poly,
+        domain,
+        point_left_idx,
+        point_right_idx,
+        structure,
+        poly_idx,
+        expectation,
+    ):
+        """Crossing lines case."""
+        with expectation:
+            movment_area = get_convex_safe_area(
+                poly,
+                domain,
+                point_left_idx,
+                point_right_idx,
+                structure,
+                poly_idx,
+            )
+            s_poly = domain.geometry._poly_to_shapely_poly(poly)
+            union = unary_union([s_poly, movment_area])
+            assert round(union.area, 6) == round(union.convex_hull.area, 6)
+            if abs(point_right_idx - point_left_idx) == 1:
+                assert s_poly.intersection(movment_area).area == 0.0
diff --git a/test/test_mutation.py b/test/test_mutation.py
index 42299dd44..2ef9b5123 100644
--- a/test/test_mutation.py
+++ b/test/test_mutation.py
@@ -1,62 +1,131 @@
 import pytest
-from gefest.core.opt.operators.mutation import mutation
-from gefest.core.structure.structure import Structure
-from gefest.core.structure.domain import Domain
-from test.test_crossover import create_rectangle
 
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
+from gefest.core.opt.operators.mutations import add_poly_mutation, drop_poly_mutation
+from gefest.core.opt.operators.mutations import mutate_structure as mutation
+from gefest.core.opt.operators.mutations import (
+    resize_poly_mutation,
+    rotate_poly_mutation,
+)
 
-domain = Domain(min_poly_num=1, max_poly_num=3)
+
+def create_rectangle(x, y, dim=5):
+    """Rectangle generator util."""
+    rectangle_points = [(x, y), (x, y + dim), (x + dim, y + dim), (x + dim, y), (x, y)]
+    rectangle_poly = Polygon(points=[Point(*coords) for coords in rectangle_points])
+    return rectangle_poly
+
+
+domain = Domain(
+    min_poly_num=1,
+    max_poly_num=3,
+    allowed_area=[
+        [0, 0],
+        [0, 100],
+        [100, 100],
+        [100, 0],
+        [0, 0],
+    ],
+)
 geometry = domain.geometry
-structure = Structure([create_rectangle(5, 5), create_rectangle(5, 15)])
+structure = Structure([create_rectangle(5, 5), create_rectangle(5, 15), create_rectangle(15, 5)])
+mut_operations = [
+    drop_poly_mutation,
+    add_poly_mutation,
+]
+mutation_each_prob = [0.5, 0.5]
 
 
-def test_mutation_poly():
+def test_mutation_del_add_poly():
+    """Test add and delete polygon mutations."""
     count_del_poly = 0
     count_add_poly = 0
-    count_rotated_poly = 0
-    count_resize_poly = 0
+    condition = False
+    start_lenghs = len(structure.polygons)
+    for _ in range(100):
+        mutated_structure = mutation(
+            structure,
+            domain,
+            operations=mut_operations,
+            operation_chance=0.9999,
+            operations_probs=mutation_each_prob,
+        )
 
-    for i in range(1000):
-        mutated_structure = mutation(structure, domain, rate=0.999)
-        mutated_ids = [poly.id for poly in mutated_structure.polygons]
-        count_mutated_points = [len(p.points) for p in mutated_structure.polygons]
-        mutated_square = [geometry.get_square(poly) for poly in mutated_structure.polygons]
-
-        if len(mutated_structure.polygons) < 2:
+        if len(mutated_structure.polygons) < start_lenghs:
             count_del_poly += 1
         elif len(mutated_structure.polygons) > 2:
             count_add_poly += 1
 
-        count_initial_points = [len(p.points) for p in structure.polygons]
-        initial_square = [geometry.get_square(poly) for poly in structure.polygons]
-        compared_point_counts = []
-        compared_squares = []
-        min_numb_polys = min(len(mutated_structure.polygons),
-                             len(structure.polygons))
-        for idx in range(min_numb_polys):
-            compared_point_counts.append(count_initial_points[idx] == count_mutated_points[idx])
-            compared_squares.append(initial_square[idx] == mutated_square[idx])
-
-        if any(compared_point_counts) and any(compared_squares):
-            count_rotated_poly += 1
-        elif not any(compared_point_counts) and not any(compared_squares):
-            count_resize_poly += 1
-
-        condition = all([count_del_poly > 0, count_add_poly > 0,
-                        count_rotated_poly > 0, count_resize_poly > 0])
+        condition = all(
+            [
+                count_del_poly > 0,
+                count_add_poly > 0,
+            ]
+        )
         if condition:
             break
+
     assert condition
 
 
 def test_mutation_not_passed():
-
-    mutated_structure = mutation(structure, domain, rate=0.001)
+    """Tests mutations fails."""
+    mutated_structure = mutation(
+        structure,
+        domain,
+        operations=mut_operations,
+        operation_chance=0.001,
+        operations_probs=mutation_each_prob,
+    )
 
     mutated_points = mutated_structure.polygons[0].points
     initial_points = structure.polygons[0].points
     mutated_square = domain.geometry.get_square(mutated_structure.polygons[0])
     initial_square = domain.geometry.get_square(structure.polygons[0])
 
-    assert all([mutated_points == initial_points,
-                mutated_square == initial_square])
+    assert all([mutated_points == initial_points, mutated_square == initial_square])
+
+
+@pytest.mark.parametrize(
+    'mut_oper, operat_prob, expected_result',
+    [
+        ([rotate_poly_mutation], [1], 0),
+        ([resize_poly_mutation], [1], 0),
+    ],
+)
+def test_mutation_rotate_resize_poly(mut_oper, operat_prob, expected_result):
+    """Tests rotate poly operation."""
+    count_rotated_poly = expected_result
+    count_resize_poly = expected_result
+    for _ in range(10):
+        mutated_structure = mutation(
+            structure,
+            domain,
+            operations=mut_oper,
+            operation_chance=0.9999,
+            operations_probs=operat_prob,
+        )
+        mutated_square = [
+            round(geometry.get_square(poly), 2) for poly in mutated_structure.polygons
+        ]
+        equivalent_points = [s == m for s, m in zip(structure.polygons, mutated_structure.polygons)]
+        initial_square = [geometry.get_square(poly) for poly in structure.polygons]
+
+        compared_squares = []
+        min_numb_polys = min(len(mutated_structure.polygons), len(structure.polygons))
+        for idx in range(min_numb_polys):
+
+            compared_squares.append(initial_square[idx] == mutated_square[idx])
+
+        for ind in range(min_numb_polys):
+            if not equivalent_points[ind] and compared_squares[ind]:
+                count_rotated_poly += 1
+            elif not compared_squares[ind] and not equivalent_points[ind]:
+                count_resize_poly += 1
+
+    if mut_oper == [rotate_poly_mutation]:
+        assert count_rotated_poly > expected_result
+
+    if mut_oper == [resize_poly_mutation]:
+        assert count_resize_poly > expected_result
diff --git a/test/test_optimization_case.py b/test/test_optimization_case.py
deleted file mode 100644
index 25269bc2d..000000000
--- a/test/test_optimization_case.py
+++ /dev/null
@@ -1,59 +0,0 @@
-import numpy as np
-
-from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.opt.setup import Setup
-from gefest.core.structure.domain import Domain
-from gefest.core.opt.gen_design import design
-from gefest.core.structure.structure import Structure
-
-
-# Area to length ratio, circle have maximum among all figures (that`s why it`s our optima)
-def area_length_ratio(poly):
-    area = geometry.get_square(poly)
-    length = geometry.get_length(poly)
-
-    if area == 0:
-        return None
-
-    ratio = 1 - 4 * np.pi * area / length ** 2
-
-    return ratio
-
-
-# Adding fine for structures containing more (less) than three polygons
-def multi_loss(struct: Structure):
-    num = 3
-    num_polys = len(struct.polygons)
-    loss = 0
-    for poly in struct.polygons:
-        length = area_length_ratio(poly)
-        if length:
-            loss += length
-    L = loss + 20 * abs(num_polys - num)
-
-    return L
-
-
-# Usual GEFEST procedure for initialization domain, geometry (with closed or unclosed polygons) and task_setup
-is_closed = True
-geometry = Geometry2D(is_closed=is_closed)
-domain = Domain(allowed_area=[(0, 0),
-                              (0, 300),
-                              (300, 300),
-                              (300, 0),
-                              (0, 0)],
-                geometry=geometry,
-                max_poly_num=20,
-                min_poly_num=1,
-                max_points_num=20,
-                min_points_num=4,
-                is_closed=is_closed)
-
-task_setup = Setup(domain=domain)
-
-
-def test_optimization():
-    """
-    ::TODO::
-    Change optimization to design like in synthetic examples
-    """
diff --git a/test/test_resolve_errors.py b/test/test_resolve_errors.py
deleted file mode 100644
index f31b3366e..000000000
--- a/test/test_resolve_errors.py
+++ /dev/null
@@ -1,98 +0,0 @@
-import pytest
-from copy import deepcopy
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.structure import Structure
-from gefest.core.algs.postproc.resolve_errors import *
-from gefest.core.algs.geom.validation import *
-
-# marking length and width for testing polygon
-poly_width = 10
-poly_length = 20
-
-# creating a testing polygons via corner points
-rectangle_points = [
-    (-1, 40),
-    (-1, poly_length + 40),
-    (-poly_width - 10, poly_length + 40),
-    (-poly_width - 10, 40),
-]
-out_bounds_rectangle_poly = Polygon(
-    "rectangle", points=[Point(*coords) for coords in rectangle_points]
-)
-
-triangle_points = [(1, 1), (poly_width, poly_length), (1, poly_length)]
-unclosed_triangle_poly = Polygon(
-    "triangle", points=[Point(*coords) for coords in triangle_points]
-)
-
-incorrect_points = [(5, 5), (5, poly_length), (8, poly_length), (5, 5), (5, 30)]
-incorrect_poly = Polygon(
-    "incorrect_poly", points=[Point(*coords) for coords in incorrect_points]
-)
-
-intersected_points = [
-    (0, 0),
-    (0, poly_length),
-    (poly_width, poly_length),
-    (poly_width - 5, poly_length - 5),
-    (poly_width, poly_length + 10),
-    (0, 0),
-]
-intersected_poly = Polygon(
-    "incorrect_poly", points=[Point(*coords) for coords in intersected_points]
-)
-
-domain = Domain()
-
-
-def test_unclosed_poly():
-    input_structure = Structure([unclosed_triangle_poly])
-    observed_structure = postprocess(input_structure, domain)
-
-    assert unclosed_poly(input_structure, domain)
-    assert not unclosed_poly(observed_structure, domain)
-
-
-def test_self_intersection():
-    input_structure = Structure([intersected_poly])
-    observed_structure = postprocess(input_structure, domain)
-
-    assert self_intersection(input_structure)
-    assert not self_intersection(observed_structure)
-
-
-def test_out_of_bound():
-    input_structure = Structure([out_bounds_rectangle_poly])
-    observed_structure = postprocess(input_structure, domain)
-
-    assert out_of_bound(input_structure, domain)
-    assert not out_of_bound(observed_structure, domain)
-
-
-def test_fixed_polys():
-    """
-    Не понял суть теста, почему like_fixed должен уйти? А fixed появиться в poly?
-
-    domain = Domain(fixed_points=[[[15, 30],
-                                   [40, 30],
-                                   [15, 40]]])
-    poly_like_fixed = Polygon('like_fixed', points=[Point(15, 30), Point(40, 30), Point(15, 40)])
-    input_structure = Structure([poly_like_fixed, unclosed_triangle_poly])
-    observed_structure = postprocess(input_structure, domain)
-
-    assert all([np.isclose(len(observed_structure.polygons), 2),
-                'like_fixed' not in [poly.id for poly in observed_structure.polygons],
-                'fixed' in [poly.id for poly in observed_structure.polygons]])
-    """
-
-
-def test_too_close():
-    same_poly = deepcopy(unclosed_triangle_poly)
-    same_poly.id = "same_triangle"
-    input_structure = Structure([unclosed_triangle_poly, same_poly])
-    observed_structure = postprocess(input_structure, domain)
-
-    print(observed_structure.polygons)
-
-    assert np.isclose(len(observed_structure.polygons), 1)
diff --git a/test/test_sound.py b/test/test_sound.py
new file mode 100644
index 000000000..6bca1019a
--- /dev/null
+++ b/test/test_sound.py
@@ -0,0 +1,12 @@
+import numpy as np
+
+from gefest.tools.estimators.simulators.sound_wave.sound_interface import (
+    generate_random_map,
+)
+
+
+def test_random_map():
+    """Test generator of random obstacles."""
+    random_map = generate_random_map((42, 42), 111)
+    assert isinstance(random_map, np.ndarray)
+    assert random_map.shape == (42, 42, 1)
diff --git a/test/test_sound_simulator.py b/test/test_sound_simulator.py
deleted file mode 100644
index c3375d929..000000000
--- a/test/test_sound_simulator.py
+++ /dev/null
@@ -1,33 +0,0 @@
-import pytest
-import pickle
-import numpy as np
-from gefest.tools.estimators.simulators.sound_wave.sound_interface import SoundSimulator
-from cases.sound_waves.configuration import sound_domain
-
-
-def load_file_from_path(path: str):
-    with open(path, "rb") as f:
-        file = pickle.load(f)
-        f.close()
-    return file
-
-
-domain, _ = sound_domain.configurate_domain(
-    poly_num=1,
-    points_num=30,
-    is_closed=True,
-)
-
-structure_path = "test/files/standart_structure.pickle"
-spl_path = "test/files/standart_spl.pickle"
-
-standart_spl = load_file_from_path(spl_path)
-standart_structure = load_file_from_path(structure_path)
-
-sound = SoundSimulator(domain)
-
-
-def test_sumulator():
-    current_spl = sound.estimate(standart_structure)
-
-    assert (np.isclose(current_spl, standart_spl)).all()
diff --git a/test/test_validation.py b/test/test_validation.py
index 6895fdd20..0d65e1418 100644
--- a/test/test_validation.py
+++ b/test/test_validation.py
@@ -1,19 +1,33 @@
+from contextlib import nullcontext as no_exception
+
 import pytest
-from gefest.core.geometry.geometry import Geometry
+
+from gefest.core.geometry import Point, Polygon, Structure
+from gefest.core.geometry.domain import Domain
 from gefest.core.geometry.geometry_2d import Geometry2D
-from gefest.core.structure.point import Point
-from gefest.core.structure.polygon import Polygon
-from gefest.core.structure.structure import Structure
-from gefest.core.algs.geom.validation import *
+from gefest.core.opt.postproc.rules import Rules
 
 geometry = Geometry2D()
-domain = Domain()
-"""allowed area for Domain() is [(0, 0),
-                                (0, 100),
-                                (100, 100),
-                                (100, 0)]
-"""
+prohibited_area = [(30, 30), (30, 50), (50, 50), (50, 30), (30, 30)]
+prohibit_intersect = [(x, y - 5) for x, y in prohibited_area]
+prohibit_intersect_2 = [(x - 5, y - 5) for x, y in prohibited_area]
+domain = Domain(
+    allowed_area=[
+        [0, 0],
+        [0, 100],
+        [100, 100],
+        [100, 0],
+        [0, 0],
+    ]
+)
+
 
+def poly_from_coords(coords):
+    """Builds GEFEST Polygon from point tulpes."""
+    return Polygon(points=[Point(*coords) for coords in coords])
+
+
+rules = Rules
 poly_width = 10
 poly_length = 20
 # creating a testing polygons via corner points
@@ -23,94 +37,111 @@
     (poly_width, poly_length),
     (poly_width, 0),
 ]
-rectangle_poly = Polygon(
-    "rectangle", points=[Point(*coords) for coords in rectangle_points]
-)
+rectangle_poly = Polygon(points=[Point(*coords) for coords in rectangle_points])
 
 triangle_points = [(0, 0), (poly_width, poly_length), (0, poly_length)]
-triangle_poly = Polygon(
-    "triangle", points=[Point(*coords) for coords in triangle_points]
-)
+triangle_poly = Polygon(points=[Point(*coords) for coords in triangle_points])
 
 out_points = [Point(x + 200, y + 200) for (x, y) in rectangle_points]
-out_poly = Polygon("out_rectangle", points=out_points)
-
-
-def test_intersection():
-    intersected_points = [
-        (1, 1),
-        (1, poly_length),
-        (poly_width, poly_length),
-        (poly_width, 1),
-    ]
-    intersected_rectangle_poly = Polygon(
-        "rectangle", points=[Point(*coords) for coords in intersected_points]
-    )
-    structure = Structure([rectangle_poly, intersected_rectangle_poly])
-    assert intersection(structure, domain)
-
-    structure = Structure([rectangle_poly, out_poly])
-    assert not intersection(structure, domain)
-
-
-def test_out_off_bound():
-    inside_points = [
-        (1, 1),
-        (1, poly_length),
-        (poly_width, poly_length),
-        (poly_width, 1),
-    ]
-    inside_rectangle_poly = Polygon(
-        "rectangle", points=[Point(*coords) for coords in inside_points]
-    )
-    structure = Structure([inside_rectangle_poly])
-    assert not out_of_bound(structure, domain)
-
-    structure = Structure([out_poly])
-    assert out_of_bound(structure, domain)
-
-
-def test_too_close():
-    structure = Structure([rectangle_poly, triangle_poly])
-    assert too_close(structure, domain)
-
-    structure = Structure([rectangle_poly, out_poly])
-    assert not too_close(structure, domain)
-
-
-def test_self_intersection():
-    incorrect_points = [
-        (0, 0),
-        (0, poly_length),
-        (poly_width, poly_length),
-        (poly_width - 5, poly_length - 5),
-        (poly_width, poly_length + 10),
-        (0, 0),
-    ]
-    incorrect_poly = Polygon(
-        "incorrect_poly", points=[Point(*coords) for coords in incorrect_points]
+out_poly = Polygon(points=out_points)
+
+self_intersected_poly = [(2, 2), (3, 8), (2, 1), (1, 4), (9, 9), (2, 2)]
+self_intersected_poly_open = [(2, 2), (3, 8), (2, 1), (1, 4), (9, 9)]
+self_intersected_poly_2 = [(4, 4), (4, 2), (2, 2), (2, 4), (4, 4), (2, 7), (4, 7), (2, 4)]
+self_intersected_poly_3 = [
+    (4, 4),
+    (4, 2),
+    (2, 2),
+    (2, 4),
+    (4, 4),
+    (2, 7),
+    (4, 7),
+    (2, 4),
+    (4, 4),
+    (4, 2),
+    (2, 2),
+    (2, 4),
+    (4, 4),
+]
+self_intersected_poly_4 = [(4, 4), (4, 2), (2, 2), (2, 4), (4, 4), (4, 2), (2, 2), (2, 4), (4, 4)]
+not_self_intersected_poly_closed = [(4, 4), (4, 2), (2, 2), (2, 4), (4, 4)]
+not_self_intersected_poly_open = [(4, 4), (4, 2), (2, 2), (2, 4)]
+
+out_of_bound_poly_closed = [(50, 50), (150, 150), (150, 50), (99, 0), (45, 0), (50, 50)]
+out_of_bound_poly_unclosed = [(50, 50), (150, 150), (150, 50), (99, 0), (45, 0)]
+
+structure_for_check = Structure(
+    polygons=(
+        [
+            poly_from_coords(coords)
+            for coords in [
+                self_intersected_poly,
+                self_intersected_poly_open,
+                not_self_intersected_poly_closed,
+                not_self_intersected_poly_open,
+                out_of_bound_poly_closed,
+                out_of_bound_poly_unclosed,
+            ]
+        ]
     )
-    structure = Structure([incorrect_poly])
-    assert self_intersection(structure)
-
-    rebuilt_poly = geometry.get_convex(incorrect_poly)
-    structure = Structure([rebuilt_poly])
-    assert not self_intersection(structure)
-
+)
 
-def test_unclosed_poly():
-    structure = Structure([rectangle_poly])
-    assert unclosed_poly(structure, domain)
 
-    closed_rectangle_points = [
-        (0, 0),
-        (0, poly_length),
-        (poly_width, poly_length),
-        (poly_width, 0),
-        (0, 0),
-    ]
-    closed_rectangle_poly = Polygon(
-        "rectangle", points=[Point(*coords) for coords in closed_rectangle_points]
-    )
-    structure = Structure([closed_rectangle_poly])
-    assert not unclosed_poly(structure, domain)
+@pytest.mark.parametrize(
+    ', '.join(
+        [
+            'structure',
+            'idx_poly_with_error',
+            'domain',
+            'result',
+            'expectation',
+        ],
+    ),
+    [
+        (structure_for_check, 0, domain, False, no_exception()),
+        (structure_for_check, 1, domain, False, no_exception()),
+        (structure_for_check, 2, domain, True, no_exception()),
+        (structure_for_check, 3, domain, True, no_exception()),
+    ],
+)
+def test_self_intersection_rule(
+    structure: Structure,
+    idx_poly_with_error: int,
+    domain: Domain,
+    result: bool,
+    expectation,
+):
+    """Test self intersection rule."""
+    rule = rules.not_self_intersects.value
+    with expectation:
+        assert rule.validate(structure, idx_poly_with_error, domain) == result
+
+
+@pytest.mark.parametrize(
+    ', '.join(
+        [
+            'structure',
+            'idx_poly_with_error',
+            'domain',
+            'result',
+            'expectation',
+        ],
+    ),
+    [
+        (structure_for_check, 2, domain, True, no_exception()),
+        (structure_for_check, 3, domain, True, no_exception()),
+        (structure_for_check, 4, domain, False, no_exception()),
+        (structure_for_check, 5, domain, False, no_exception()),
+    ],
+)
+def test_out_of_bounds_rule(
+    structure: Structure,
+    idx_poly_with_error: int,
+    domain: Domain,
+    result: bool,
+    expectation,
+):
+    """Test self intersection rule."""
+    rule = rules.not_out_of_bounds.value
+    with expectation:
+        assert rule.validate(structure, idx_poly_with_error, domain) == result