czh6591-arch · czh6591-arch · Nov 26, 2025
diff --git a/comprehensive_test.py b/comprehensive_test.py
@@ -0,0 +1,51 @@
+import sys
+sys.path.append('pygad')
+import pygad_modified as ga
+import numpy
+
+# Multi-objective fitness function
+def fitness_func(ga_instance, solution):
+    # Three objectives: maximize fitness, minimize time cost, maximize diversity
+    fitness_score = numpy.sum(solution)
+    time_cost = numpy.random.randint(10, 50)  # Simulate time cost
+    diversity_score = numpy.random.uniform(0.5, 1.0)  # Simulate diversity score
+    return [fitness_score, time_cost, diversity_score]
+
+# Callback function to track environment changes
+def on_generation(ga_instance):
+    print(f"Generation {ga_instance.generations_completed}: Environment = {ga_instance.current_environment}")
+
+print("=== Comprehensive Test: Environment State Machine & Multi-Objective Optimization ===\n")
+
+# Create GA instance with environment state machine enabled
+ga_instance = ga.GA(
+    num_generations=30,  # Should cycle through 3 environments (30 generations / 10 = 3 cycles)
+    num_parents_mating=5,
+    fitness_func=fitness_func,
+    sol_per_pop=20,
+    num_genes=10,
+    parent_selection_type="sss",
+    crossover_type="single_point",
+    mutation_type="random",
+    mutation_probability=0.05,
+    crossover_probability=0.7,
+    on_generation=on_generation
+)
+
+print(f"Initial Environment: {ga_instance.current_environment}")
+print("\nStarting Genetic Algorithm with Environment State Machine...\n")
+
+# Run the GA with environment state machine
+ga_instance.run()
+
+print("\n=== GA Run Completed ===")
+print(f"Total generations completed: {ga_instance.generations_completed}")
+print(f"Final environment: {ga_instance.current_environment}")
+
+# Show Pareto front data from the last generation
+print("\n=== Pareto Front Data from Last Generation ===")
+if hasattr(ga_instance, 'last_generation_fitness'):
+    print(f"Last generation fitness data shape: {ga_instance.last_generation_fitness.shape}")
+    print("Each solution has 3 objectives: [fitness_score, time_cost, diversity_score]")
+
+print("\nTest completed successfully!")
diff --git a/example_multi_objective.py b/example_multi_objective.py
@@ -0,0 +1,35 @@
+import sys
+sys.path.append('pygad')
+import pygad_modified as ga
+import numpy
+
+def fitness_func(ga_instance, solution):
+    # Example multi-objective fitness function
+    fitness_score = numpy.sum(solution)
+    time_cost = numpy.random.randint(10, 50)  # Simulate time cost
+    diversity_score = numpy.random.uniform(0.5, 1.0)  # Simulate diversity score
+    return [fitness_score, time_cost, diversity_score]
+
+def on_generation(ga_instance):
+    print(f"Generation completed: {ga_instance.generations_completed}")
+    print(f"Current environment: {ga_instance.current_environment}")
+
+# Initialize the GA instance
+ga_instance = ga.GA(
+    num_generations=30,
+    num_parents_mating=10,
+    fitness_func=fitness_func,
+    sol_per_pop=50,
+    num_genes=5,
+    parent_selection_type="sss",
+    crossover_type="single_point",
+    mutation_type="random",
+    mutation_probability=0.05,
+    crossover_probability=0.7,
+    on_generation=on_generation
+)
+
+# Run the GA
+ga_instance.run()
+
+print("GA run completed!")
diff --git a/pygad/__pycache__/__init__.cpython-313.pyc b/pygad/__pycache__/__init__.cpython-313.pyc
diff --git a/pygad/__pycache__/pygad.cpython-313.pyc b/pygad/__pycache__/pygad.cpython-313.pyc
diff --git a/pygad/__pycache__/pygad_modified.cpython-313.pyc b/pygad/__pycache__/pygad_modified.cpython-313.pyc
diff --git a/pygad/helper/__pycache__/__init__.cpython-313.pyc b/pygad/helper/__pycache__/__init__.cpython-313.pyc
diff --git a/pygad/helper/__pycache__/misc.cpython-313.pyc b/pygad/helper/__pycache__/misc.cpython-313.pyc
diff --git a/pygad/helper/__pycache__/unique.cpython-313.pyc b/pygad/helper/__pycache__/unique.cpython-313.pyc
diff --git a/pygad/pygad_modified.py b/pygad/pygad_modified.py
diff --git a/pygad/utils/__pycache__/__init__.cpython-313.pyc b/pygad/utils/__pycache__/__init__.cpython-313.pyc
diff --git a/pygad/utils/__pycache__/crossover.cpython-313.pyc b/pygad/utils/__pycache__/crossover.cpython-313.pyc
diff --git a/pygad/utils/__pycache__/mutation.cpython-313.pyc b/pygad/utils/__pycache__/mutation.cpython-313.pyc
diff --git a/pygad/utils/__pycache__/nsga2.cpython-313.pyc b/pygad/utils/__pycache__/nsga2.cpython-313.pyc
diff --git a/pygad/utils/__pycache__/parent_selection.cpython-313.pyc b/pygad/utils/__pycache__/parent_selection.cpython-313.pyc
diff --git a/pygad/visualize/__pycache__/__init__.cpython-313.pyc b/pygad/visualize/__pycache__/__init__.cpython-313.pyc
diff --git a/pygad/visualize/__pycache__/plot.cpython-313.pyc b/pygad/visualize/__pycache__/plot.cpython-313.pyc
diff --git a/test_env.py b/test_env.py
@@ -0,0 +1,3 @@
+print("Python environment is working!")
+import numpy
+print("NumPy imported successfully!")
diff --git a/test_ga.py b/test_ga.py
@@ -0,0 +1,23 @@
+import sys
+sys.path.append('pygad')
+import pygad_modified as ga
+import numpy
+
+def fitness_func(ga_instance, solution):
+    return numpy.sum(solution)
+
+print("Creating GA instance...")
+try:
+    ga_instance = ga.GA(
+        num_generations=10,
+        num_parents_mating=5,
+        fitness_func=fitness_func,
+        sol_per_pop=10,
+        num_genes=5
+    )
+    print("GA instance created successfully!")
+    print(f"Initial environment: {ga_instance.current_environment}")
+except Exception as e:
+    print(f"Error creating GA instance: {e}")
+    import traceback
+    traceback.print_exc()
diff --git a/tests/__pycache__/test_adaptive_mutation.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_adaptive_mutation.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_adaptive_mutation.cpython-313.pyc b/tests/__pycache__/test_adaptive_mutation.cpython-313.pyc
diff --git a/tests/__pycache__/test_allow_duplicate_genes.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_allow_duplicate_genes.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_crossover_mutation.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_crossover_mutation.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_gene_constraint.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_gene_constraint.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_gene_space.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_gene_space.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_gene_space_allow_duplicate_genes.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_gene_space_allow_duplicate_genes.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_gene_type.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_gene_type.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_lifecycle_callbacks_calls.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_lifecycle_callbacks_calls.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_number_fitness_function_calls.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_number_fitness_function_calls.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_save_solutions.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_save_solutions.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_stop_criteria.cpython-313-pytest-9.0.1.pyc b/tests/__pycache__/test_stop_criteria.cpython-313-pytest-9.0.1.pyc
diff --git a/tests/__pycache__/test_stop_criteria.cpython-313.pyc b/tests/__pycache__/test_stop_criteria.cpython-313.pyc