From c4b5dbe69a54abb734ccec2fd05b5250e44bdb76 Mon Sep 17 00:00:00 2001
From: Thieu Nguyen <nguyenthieu2102@gmail.com>
Date: Tue, 2 Jan 2024 13:09:14 +0700
Subject: [PATCH] Update docs

---
 .../pages/general/advances/log_training_process.rst       | 8 ++++----
 docs/source/pages/general/advances/model_parameter.rst    | 4 ++--
 docs/source/pages/general/advances/model_problem_name.rst | 2 +-
 docs/source/pages/general/advances/starting_positions.rst | 2 +-
 4 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/docs/source/pages/general/advances/log_training_process.rst b/docs/source/pages/general/advances/log_training_process.rst
index 896adeb0..619330e3 100644
--- a/docs/source/pages/general/advances/log_training_process.rst
+++ b/docs/source/pages/general/advances/log_training_process.rst
@@ -9,14 +9,14 @@ the log process.
 .. code-block:: python
 
    problem_dict1 = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-3, -5, 1, -10, ], ub=[5, 10, 100, 30, ]),
       "minmax": "min",
       # Default = "console"
    }
 
    problem_dict1 = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-3, -5, 1, -10, ], ub=[5, 10, 100, 30, ]),
       "minmax": "min",
       "log_to": "console",
@@ -28,7 +28,7 @@ the log process.
 .. code-block:: python
 
    problem_dict2 = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-3, -5, 1, -10, ], ub=[5, 10, 100, 30, ]),
       "minmax": "min",
       "log_to": "file",
@@ -41,7 +41,7 @@ the log process.
 .. code-block:: python
 
    problem_dict3 = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-3, -5, 1, -10, ], ub=[5, 10, 100, 30, ]),
       "minmax": "min",
       "log_to": None,
diff --git a/docs/source/pages/general/advances/model_parameter.rst b/docs/source/pages/general/advances/model_parameter.rst
index 632e76bd..2a6f6eb7 100644
--- a/docs/source/pages/general/advances/model_parameter.rst
+++ b/docs/source/pages/general/advances/model_parameter.rst
@@ -28,7 +28,7 @@ can help you determine how to set valid parameters.
    from mealpy import DE, FloatVar
 
    problem = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-10,]*10, ub=[30,]*10),
       "minmax": "min",
    }
@@ -54,7 +54,7 @@ This will definitely be helpful when using ParameterGrid/GridSearchCV from the s
 	from mealpy import DE, FloatVar
 
 	problem = {
-		"fit_func": F5,
+		"obj_func": F5,
 		"bounds": FloatVar(lb=[-10,]*10, ub=[30,]*10),
 		"minmax": "min",
 	}
diff --git a/docs/source/pages/general/advances/model_problem_name.rst b/docs/source/pages/general/advances/model_problem_name.rst
index e61177d7..fc2575c5 100644
--- a/docs/source/pages/general/advances/model_problem_name.rst
+++ b/docs/source/pages/general/advances/model_problem_name.rst
@@ -12,7 +12,7 @@ problem, especially in multitask problems.
    from mealpy.swarm_based import PSO
 
    problem = {
-      "fit_func": F5,
+      "obj_func": F5,
       "bounds": FloatVar(lb=[-3, -5, 1, -10, ], ub=[5, 10, 100, 30, ]),
       "minmax": "min",
       "name": "Benchmark Function 5th"
diff --git a/docs/source/pages/general/advances/starting_positions.rst b/docs/source/pages/general/advances/starting_positions.rst
index cba8a3d4..b661de32 100644
--- a/docs/source/pages/general/advances/starting_positions.rst
+++ b/docs/source/pages/general/advances/starting_positions.rst
@@ -20,7 +20,7 @@ Not recommended to use this utility. But in case you need this:
 		return result
 
 	fm_problem = {
-		"fit_func": frequency_modulated,
+		"obj_func": frequency_modulated,
 		"bounds": FloatVar(lb=[-6.4, ] * 6, ub=[6.35, ] * 6),
 		"minmax": "min",
 		"log_to": "console",