def step(self):
print("nindividuals: " + str(len(self.individuals)) + "; fitnesses:")
print(str(list(map(lambda x: x.fitness, self.individuals))))
self.individuals, self.best_ever = ponyge.step(
self.individuals, self.grammar, self.replacement,
self.selection, ponyge.FITNESS_FUNCTION, self.best_ever)
ponyge.print_stats(self.generation, self.individuals)
# write to stderr. this allows us to redirect entire run to stdout
# but still know which generation we're on, so can rename screenshots
# correctly
sys.stderr.write("Gen: " + str(self.generation) + "\n")
self.generation += 1
def step(self):
print("nindividuals: " + str(len(self.individuals)) + "; fitnesses:")
print(str(list(map(lambda x: x.fitness, self.individuals))))
self.individuals, self.best_ever = ponyge.step(
self.individuals, self.grammar, self.replacement, self.selection,
ponyge.FITNESS_FUNCTION, self.best_ever)
ponyge.print_stats(self.generation, self.individuals)
# write to stderr. this allows us to redirect entire run to stdout
# but still know which generation we're on, so can rename screenshots
# correctly
sys.stderr.write("Gen: " + str(self.generation) + "\n")
self.generation += 1
def __init__(self, grammar_file):
self.generation = 0
ponyge.GRAMMAR_FILE = grammar_file
ponyge.POPULATION_SIZE = 9
ponyge.GENERATION_SIZE = 9
ponyge.ELITE_SIZE = 0
ponyge.MUTATION_PROBABILITY = 0.01
ponyge.CROSSOVER_PROBABILITY = 1.0 - ponyge.MUTATION_PROBABILITY
self.grammar = ponyge.Grammar(ponyge.GRAMMAR_FILE)
self.individuals = ponyge.initialise_population(ponyge.POPULATION_SIZE)
self.replacement = ponyge.generational_replacement
self.selection = lambda x: ponyge.tournament_selection(x, 6)
ponyge.FITNESS_FUNCTION = DummyFitness()
ponyge.evaluate_fitness(self.individuals, self.grammar, ponyge.FITNESS_FUNCTION)
self.best_ever = min(self.individuals)
self.individuals.sort()
ponyge.print_stats(1, self.individuals)
def __init__(self, grammar_file):
self.generation = 0
ponyge.GRAMMAR_FILE = grammar_file
ponyge.POPULATION_SIZE = 9
ponyge.GENERATION_SIZE = 9
ponyge.ELITE_SIZE = 0
ponyge.MUTATION_PROBABILITY = 0.01
ponyge.CROSSOVER_PROBABILITY = 1.0 - ponyge.MUTATION_PROBABILITY
self.grammar = ponyge.Grammar(ponyge.GRAMMAR_FILE)
self.individuals = ponyge.initialise_population(ponyge.POPULATION_SIZE)
self.replacement = ponyge.generational_replacement
self.selection = lambda x: ponyge.tournament_selection(x, 6)
ponyge.FITNESS_FUNCTION = DummyFitness()
ponyge.evaluate_fitness(self.individuals, self.grammar,
ponyge.FITNESS_FUNCTION)
self.best_ever = min(self.individuals)
self.individuals.sort()
ponyge.print_stats(1, self.individuals)
