class MutationService:
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(self.__algorithm_configuration.chromosome_config)
def handle_mut(self, pop_to_mut):
return [self.__apply_mut(chromosome) for chromosome in pop_to_mut]
def __apply_mut(self, chromosome):
mut_type = self.__algorithm_configuration.chromosome_config.mut_type
if mut_type == MutationTypes.ONE_POINT.name:
return self.__chromosome_modifier.boundary_mutation_one_point(chromosome)
if mut_type == MutationTypes.TWO_POINTS.name:
return self.__chromosome_modifier.boundary_mutation_two_points(chromosome)
class InversionService:
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(self.__algorithm_configuration.chromosome_config)
def handle_inv(self, pop_to_inv):
return [self.__chromosome_modifier.inversion(chromosome) for chromosome in pop_to_inv]
class MutationService:
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(
algorithm_configuration.chromosome_config,
algorithm_configuration.left_range_number,
algorithm_configuration.right_range_number)
def handle_mut(self, pop_to_mut):
return [self.__apply_mut(chromosome) for chromosome in pop_to_mut]
def __apply_mut(self, chromosome):
mut_type = self.__algorithm_configuration.chromosome_config.mut_type
if mut_type == MutationTypes.INDICES_SWAP.name:
return self.__chromosome_modifier.mutation_indices_swap(chromosome)
if mut_type == MutationTypes.STEADY.name:
return self.__chromosome_modifier.mutation_steady(chromosome)
class CrossService:
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(self.__algorithm_configuration.chromosome_config)
def handle_cross(self, pop_to_cross):
pop_to_cross_len = len(pop_to_cross)
number_of_missing_chromosomes = self.__algorithm_configuration.population_number - pop_to_cross_len - \
self.__algorithm_configuration.elite_amount
missing_chromosomes = []
while len(missing_chromosomes) < number_of_missing_chromosomes:
first_chromosome = pop_to_cross[randrange(pop_to_cross_len)]
second_chromosome = pop_to_cross[randrange(pop_to_cross_len)]
first_chromosome, second_chromosome = self.__apply_cross(first_chromosome, second_chromosome)
missing_chromosomes.append(first_chromosome)
missing_chromosomes.append(second_chromosome)
if len(missing_chromosomes) is 0:
return pop_to_cross
return np.concatenate((pop_to_cross, missing_chromosomes[0:number_of_missing_chromosomes]), axis=0)
def __apply_cross(self, first_chromosome, second_chromosome):
cross_type = self.__algorithm_configuration.chromosome_config.cross_type
if cross_type == CrossTypes.ONE_POINT.name:
return self.__chromosome_modifier.cross_one_point(first_chromosome, second_chromosome)
if cross_type == CrossTypes.TWO_POINTS.name:
return self.__chromosome_modifier.cross_two_point(first_chromosome, second_chromosome)
if cross_type == CrossTypes.THREE_POINTS.name:
return self.__chromosome_modifier.cross_three_point(first_chromosome, second_chromosome)
if cross_type == CrossTypes.H**O.name:
return self.__chromosome_modifier.cross_homogeneous(first_chromosome, second_chromosome)
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(self.__algorithm_configuration.chromosome_config)
def __init__(self, algorithm_configuration):
self.__algorithm_configuration = algorithm_configuration
self.__chromosome_modifier = ChromosomeModifier(
algorithm_configuration.chromosome_config,
algorithm_configuration.left_range_number,
algorithm_configuration.right_range_number)