def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(
self):
operator = BitFlipMutation(0.0)
solution = BinarySolution(number_of_variables=1,
number_of_objectives=1)
solution.variables[0] = [True, True, False, False, True, False]
mutated_solution = operator.execute(solution)
self.assertEqual([True, True, False, False, True, False],
mutated_solution.variables[0])
def test_should_the_solution_change_all_the_bits_if_the_probability_is_one(
self):
operator = BitFlipMutation(1.0)
solution = BinarySolution(number_of_variables=2,
number_of_objectives=1)
solution.variables[0] = [True, True, False, False, True, False]
solution.variables[1] = [False, True, True, False, False, True]
mutated_solution = operator.execute(solution)
self.assertEqual([False, False, True, True, False, True],
mutated_solution.variables[0])
self.assertEqual([True, False, False, True, True, False],
mutated_solution.variables[1])
def setUp(self) -> None:
problem1 = OneMax(number_of_bits=512)
self.emas1 = Emas(
problem=problem1,
initial_population_size=1000,
initial_inidividual_energy=10,
reproduction_threshold=20,
energy_exchange_operator=FractionEnergyExchange(0.5),
death_operator=ThresholdDeath(threshold=5, neighbours_operator=RandomNeighbours()),
termination_criterion=StoppingByEvaluations(max_evaluations=100000),
neighbours_operator=RandomNeighbours(),
reproduction_operator=FractionEnergyReproduction(0.5, BitFlipMutation(0.5), SPXCrossover(0.5))
)
problem2 = Sphere(number_of_variables=10)
self.emas2 = Emas(
problem=problem2,
initial_population_size=1000,
initial_inidividual_energy=10,
reproduction_threshold=20,
energy_exchange_operator=FractionEnergyExchange(0.5),
death_operator=ThresholdDeath(threshold=5, neighbours_operator=RandomNeighbours()),
termination_criterion=StoppingByEvaluations(max_evaluations=50000),
neighbours_operator=RandomNeighbours(),
reproduction_operator=FractionEnergyReproduction(0.5, PolynomialMutation(0.5), SBXCrossover(0.5))
)
def setUp(self) -> None:
problem = Knapsack(5, 5, [1, 2, 3, 4, 5], [1, 2, 3, 4, 5])
self.mother = problem.create_solution()
self.father = problem.create_solution()
self.mother.energy = 20
self.father.energy = 40
self.reproduction_operator = FractionEnergyReproduction(
0.5, BitFlipMutation(0.5), SPXCrossover(0.5))
def test_should_constructor_create_a_valid_operator_when_adding_two_mutation_operators(
self):
polynomial_mutation = PolynomialMutation(1.0, 20.0)
bit_flip_mutation = BitFlipMutation(0.01)
operator = CompositeMutation([polynomial_mutation, bit_flip_mutation])
self.assertIsNotNone(operator)
self.assertEqual(2, len(operator.mutation_operators_list))
self.assertTrue(
issubclass(operator.mutation_operators_list[0].__class__,
PolynomialMutation))
self.assertTrue(
issubclass(operator.mutation_operators_list[1].__class__,
BitFlipMutation))
def test_should_constructor_raises_an_exception_is_probability_is_negative(
self) -> None:
with self.assertRaises(Exception):
BitFlipMutation(-1)
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(
self):
with self.assertRaises(Exception):
BitFlipMutation(-12)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(
self):
with self.assertRaises(Exception):
BitFlipMutation(2)
def test_should_constructor_create_a_valid_operator(self):
operator = BitFlipMutation(0.5)
self.assertEqual(0.5, operator.probability)
def test_should_constructor_create_a_non_null_object(self):
solution = BitFlipMutation(1.0)
self.assertIsNotNone(solution)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(
self) -> None:
with self.assertRaises(Exception):
BitFlipMutation(1.01)