def test_should_the_operator_work_with_a_solution_with_three_binary_variables(
self, random_call):
operator = SPXCrossover(1.0)
solution1 = BinarySolution(number_of_variables=3,
number_of_objectives=1)
solution1.variables[0] = [True, False, False, True, True, False]
solution1.variables[1] = [True, False, False, True, False, False]
solution1.variables[2] = [True, False, True, True, True, True]
solution2 = BinarySolution(number_of_variables=3,
number_of_objectives=1)
solution2.variables[0] = [False, True, False, False, True, True]
solution2.variables[1] = [True, True, False, False, True, False]
solution2.variables[2] = [True, True, True, False, False, True]
random_call.return_value = 8
offspring = operator.execute([solution1, solution2])
self.assertEqual([True, False, False, True, True, False],
offspring[0].variables[0])
self.assertEqual([True, False, False, False, True, False],
offspring[0].variables[1])
self.assertEqual([True, True, True, False, False, True],
offspring[0].variables[2])
self.assertEqual([False, True, False, False, True, True],
offspring[1].variables[0])
self.assertEqual([True, True, False, True, False, False],
offspring[1].variables[1])
self.assertEqual([True, False, True, True, True, True],
offspring[1].variables[2])
def test_should_the_solution_remain_unchanged_if_the_probability_is_zero(self):
operator = SPXCrossover(0.0)
solution1 = BinarySolution(number_of_variables=1, number_of_objectives=1)
solution1.variables[0] = [True, False, False, True, True, False]
solution2 = BinarySolution(number_of_variables=1, number_of_objectives=1)
solution2.variables[0] = [False, True, False, False, True, False]
offspring = operator.execute([solution1, solution2])
self.assertEqual([True, False, False, True, True, False], offspring[0].variables[0])
self.assertEqual([False, True, False, False, True, False], offspring[1].variables[0])
def test_should_the_operator_work_if_the_third_bit_is_selected(self, random_call):
operator = SPXCrossover(1.0)
solution1 = BinarySolution(number_of_variables=1, number_of_objectives=1)
solution1.variables[0] = [True, False, False, True, True, False]
solution2 = BinarySolution(number_of_variables=1, number_of_objectives=1)
solution2.variables[0] = [False, True, False, False, True, True]
random_call.return_value = 3
offspring = operator.execute([solution1, solution2])
self.assertEqual([True, False, False, False, True, True], offspring[0].variables[0])
self.assertEqual([False, True, False, True, True, False], offspring[1].variables[0])
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_crossover_operators(self):
sbx_crossover = SBXCrossover(1.0, 20.0)
single_point_crossover = SPXCrossover(0.01)
operator = CompositeCrossover([sbx_crossover, single_point_crossover])
self.assertIsNotNone(operator)
self.assertEqual(2, len(operator.crossover_operators_list))
self.assertTrue(issubclass(operator.crossover_operators_list[0].__class__, SBXCrossover))
self.assertTrue(issubclass(operator.crossover_operators_list[1].__class__, SPXCrossover))
def test_should_execute_raise_and_exception_if_the_types_of_the_solutions_do_not_match_the_operators(self):
operator = CompositeCrossover([SBXCrossover(1.0, 5.0), SPXCrossover(0.9)])
float_solution1 = FloatSolution([2.0], [3.9], 3)
float_solution1.variables = [3.0]
float_solution2 = FloatSolution([2.0], [3.9], 3)
float_solution2.variables = [4.0]
composite_solution1 = CompositeSolution([float_solution1, float_solution2])
composite_solution2 = CompositeSolution([float_solution1, float_solution2])
with self.assertRaises(InvalidConditionException):
operator.execute([composite_solution1, composite_solution2])
def test_should_constructor_raise_an_exception_if_the_probability_is_lower_than_zero(
self):
with self.assertRaises(Exception):
SPXCrossover(-12)
def test_should_constructor_raise_an_exception_if_the_probability_is_greater_than_one(
self):
with self.assertRaises(Exception):
SPXCrossover(2)
def test_should_constructor_create_a_valid_operator(self):
operator = SPXCrossover(0.5)
self.assertEqual(0.5, operator.probability)
def test_should_constructor_create_a_non_null_object(self):
solution = SPXCrossover(1.0)
self.assertIsNotNone(solution)
def test_should_constructor_raises_an_exception_is_probability_is_higher_than_one(
self) -> None:
with self.assertRaises(Exception):
SPXCrossover(1.01)
def test_should_constructor_raises_an_exception_is_probability_is_negative(
self) -> None:
with self.assertRaises(Exception):
SPXCrossover(-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))
)
