Fix bugs in examples

jMetal · May 28, 2024 · 730fd92 · 730fd92
1 parent 7efd2e2
commit 730fd92
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Showing 3 changed files with 10 additions and 10 deletions.
diff --git a/examples/singleobjective/evolution_strategy/evolution_strategy_float.py b/examples/singleobjective/evolution_strategy/evolution_strategy_float.py
@@ -11,15 +11,15 @@
         mu=10,
         lambda_=10,
         elitist=True,
-        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables),
+        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables()),
         termination_criterion=StoppingByEvaluations(max_evaluations=25000),
     )
 
     algorithm.run()
     result = algorithm.result()
 
     print("Algorithm: " + algorithm.get_name())
-    print("Problem: " + problem.get_name())
+    print("Problem: " + problem.name())
     print("Solution: " + str(result.variables[0]))
     print("Fitness:  " + str(result.objectives[0]))
     print("Computing time: " + str(algorithm.total_computing_time))
diff --git a/examples/singleobjective/simulated_annealing/simulated_annealing_binary.py b/examples/singleobjective/simulated_annealing/simulated_annealing_binary.py
@@ -11,19 +11,19 @@
 
     algorithm = SimulatedAnnealing(
         problem=problem,
-        mutation=BitFlipMutation(probability=1.0 / problem.number_of_bits),
+        mutation=BitFlipMutation(probability=1.0 / problem.total_number_of_bits()),
         termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations),
     )
 
     algorithm.run()
     result = algorithm.result()
 
     # Save results to file
-    print_function_values_to_file(result, "FUN." + algorithm.get_name() + "." + problem.get_name())
-    print_variables_to_file(result, "VAR." + algorithm.get_name() + "." + problem.get_name())
+    print_function_values_to_file(result, "FUN." + algorithm.get_name() + "." + problem.name())
+    print_variables_to_file(result, "VAR." + algorithm.get_name() + "." + problem.name())
 
     print("Algorithm: " + algorithm.get_name())
-    print("Problem: " + problem.get_name())
+    print("Problem: " + problem.name())
     print("Solution: " + result.get_binary_string())
     print("Fitness:  " + str(result.objectives[0]))
     print("Computing time: " + str(algorithm.total_computing_time))
diff --git a/examples/singleobjective/simulated_annealing/simulated_annealing_float.py b/examples/singleobjective/simulated_annealing/simulated_annealing_float.py
@@ -11,19 +11,19 @@
 
     algorithm = SimulatedAnnealing(
         problem=problem,
-        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables, distribution_index=20.0),
+        mutation=PolynomialMutation(probability=1.0 / problem.number_of_variables(), distribution_index=20.0),
         termination_criterion=StoppingByEvaluations(max_evaluations=max_evaluations),
     )
 
     algorithm.run()
     result = algorithm.result()
 
     # Save results to file
-    print_function_values_to_file(result, "FUN." + algorithm.get_name() + "." + problem.get_name())
-    print_variables_to_file(result, "VAR." + algorithm.get_name() + "." + problem.get_name())
+    print_function_values_to_file(result, "FUN." + algorithm.get_name() + "." + problem.name())
+    print_variables_to_file(result, "VAR." + algorithm.get_name() + "." + problem.name())
 
     print("Algorithm: " + algorithm.get_name())
-    print("Problem: " + problem.get_name())
+    print("Problem: " + problem.name())
     print("Solution: " + str(result.variables[0]))
     print("Fitness:  " + str(result.objectives[0]))
     print("Computing time: " + str(algorithm.total_computing_time))