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import pygad
import random
num_generations = 100
sol_per_pop = 10
num_parents_mating = 5
# TODO Verify that each entry in 'solutions_fitness' and 'best_solutions_fitness' has values equal to the number of objectives.
def number_saved_solutions(keep_elitism=1,
keep_parents=-1,
mutation_type="random",
mutation_percent_genes="default",
parent_selection_type='sss',
multi_objective=False,
fitness_batch_size=None,
save_solutions=False,
save_best_solutions=False):
def fitness_func_no_batch_single(ga, solution, idx):
return random.random()
def fitness_func_no_batch_multi(ga_instance, solution, solution_idx):
return [random.random(), random.random()]
def fitness_func_batch_single(ga_instance, solution, solution_idx):
f = []
for sol in solution:
f.append(random.random())
return f
def fitness_func_batch_multi(ga_instance, solution, solution_idx):
f = []
for sol in solution:
f.append([random.random(), random.random()])
return f
if fitness_batch_size is None or (type(fitness_batch_size) in pygad.GA.supported_int_types and fitness_batch_size == 1):
if multi_objective == True:
fitness_func = fitness_func_no_batch_multi
else:
fitness_func = fitness_func_no_batch_single
elif (type(fitness_batch_size) in pygad.GA.supported_int_types and fitness_batch_size > 1):
if multi_objective == True:
fitness_func = fitness_func_batch_multi
else:
fitness_func = fitness_func_batch_single
ga_optimizer = pygad.GA(num_generations=num_generations,
sol_per_pop=sol_per_pop,
num_genes=6,
num_parents_mating=num_parents_mating,
fitness_func=fitness_func,
mutation_type=mutation_type,
parent_selection_type=parent_selection_type,
mutation_percent_genes=mutation_percent_genes,
keep_elitism=keep_elitism,
keep_parents=keep_parents,
suppress_warnings=True,
fitness_batch_size=fitness_batch_size,
save_best_solutions=save_best_solutions,
save_solutions=save_solutions)
ga_optimizer.run()
if save_solutions == True:
expected_num_solutions = sol_per_pop + num_generations * sol_per_pop
else:
expected_num_solutions = 0
if save_best_solutions == True:
expected_num_best_solutions = 1 + num_generations
else:
expected_num_best_solutions = 0
print(f"Expected number of solutions is {expected_num_solutions}.")
print(f"Actual number of solutions is {len(ga_optimizer.solutions)}.")
print(f"Expected number of best solutions is {expected_num_best_solutions}.")
print(f"Actual number of best solutions is {len(ga_optimizer.best_solutions)}.")
return expected_num_solutions, len(ga_optimizer.solutions), len(ga_optimizer.solutions_fitness), expected_num_best_solutions, len(ga_optimizer.best_solutions)
#### Single Objective
def test_save_solutions_default_keep():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions()
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions()
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5])
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_default_adaptive_mutation():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(mutation_type="adaptive",
mutation_percent_genes=[10, 5])
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5])
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_save_solutions():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
#### Multi Objective
def test_save_solutions_default_keep_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_default_adaptive_mutation_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_save_solutions_multi_objective():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
#### Multi Objective NSGA-II Parent Selection
def test_save_solutions_default_keep_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_default_adaptive_mutation_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_save_solutions_multi_objective_nsga2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2')
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
######## Batch Fitness
#### Single Objective
def test_save_solutions_no_keep_batch_1():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=1)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=2)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_3():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=3)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_5():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=5)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_6():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=6)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_7():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=7)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_8():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=8)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_9():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=9)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_batch_10():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(fitness_batch_size=10)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_default_adaptive_mutation_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(mutation_type="adaptive",
mutation_percent_genes=[10, 5],
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_save_solutions_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
#### Multi Objective
def test_save_solutions_no_keep_multi_objective_batch_1():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=1)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=2)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_3():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=3)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_5():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=5)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_6():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=6)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_7():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=7)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_8():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=8)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_9():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=9)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_batch_10():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
fitness_batch_size=10)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_default_adaptive_mutation_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_adaptive_mutation_save_solutions_multi_objective_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
#### Multi Objective NSGA-II Parent Selection
def test_save_solutions_no_keep_multi_objective_nsga2_batch_1():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=1)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_2():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=2)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_3():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=3)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_5():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=5)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_6():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=6)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_7():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=7)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_8():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=8)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_9():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=9)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_multi_objective_nsga2_batch_10():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=10)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_save_solutions_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_elitism_save_solutions_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=0,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_keep_parents_save_solutions_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_both_keep_save_solutions_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=3,
keep_parents=4,
save_solutions=True,
save_best_solutions=True,
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_multi_objective_nsga2_batch_4():
expected_solutions, actual_solutions, actual_solutions_fitness, expected_best_solutions, actual_best_solutions = number_saved_solutions(keep_elitism=0,
keep_parents=0,
mutation_type="adaptive",
mutation_percent_genes=[10, 5],
multi_objective=True,
parent_selection_type='nsga2',
fitness_batch_size=4)
assert expected_solutions == actual_solutions
assert expected_solutions == actual_solutions_fitness
assert expected_best_solutions == actual_best_solutions
def test_save_solutions_no_keep_adaptive_mutation_save_solutions_multi_objective_nsga2_batch_4():