def populations(individuals_lists):
first_list, second_list, third_list, ones_list, zeros_list = individuals_lists
first = make_population(*first_list)
second = make_population(*second_list)
third = make_population(*third_list)
ones = make_population(*ones_list)
zeros = make_population(*zeros_list)
return first, second, third, ones, zeros
def big_populations(individuals):
first, second, third, ones, zeros = individuals
def _make_population(individual):
return make_population(*([individual for _ in range(25)] + [ones for _ in range(25)] + [zeros for _ in range(25)]))
first_population = _make_population(first)
second_population = _make_population(second)
third_population = _make_population(third)
ones_population = make_population(*([ones for _ in range(50)] + [first for _ in range(25)]))
zeros_population = make_population(*([zeros for _ in range(50)] + [first for _ in range(25)]))
return first_population, second_population, third_population, ones_population, zeros_population
def small_population_and_individuals():
first, second, ones = Individual(), Individual(), Individual()
first["x"] = make_chromosome(np.asarray([1, 0, 1, 0, 1, 0, 1, 0]))
second["x"] = make_chromosome(np.asarray([0, 1, 0, 1, 0, 1, 0, 0]))
ones["x"] = make_chromosome(np.asarray([1, 1, 1, 1, 1, 1, 1, 1]))
population = make_population(first, second)
return population, first, second, ones
def invoke(self, population: Population) -> Population:
preprocessed_list = self._preprocess_fitness_list(population)
subpopulation = []
for i in range(self["count"]):
subpopulation.append(self._select(population, preprocessed_list))
return make_population(*subpopulation)
def get_elite_as_population(self) -> Population:
return make_population(*self["elite"])
def _make_population(individual):
return make_population(*([individual for _ in range(25)] + [ones for _ in range(25)] + [zeros for _ in range(25)]))