def test_1():
protogenes = protogene_factory(IntGene, 'x', 50, min_value=0, max_value=10)
protogenome = ProtoGenome(protogenes, mutation_probability = 0.1)
algo = MultiGeneticAlgorithm(protogenome, fitness_function,
population_size = 60,
optimization_mode = 'min',
num_parents = 2,
crossover_method = single_point_crossover,
selection_method = select_from_top,
termination_criteria=[raw_score_stop], termination_criteria_options=[{'stop_score':0}])
#main evolution cycle
algo.evolve(debug=True)
bi = algo.best_individual()
print bi.score
print bi.dict_value()
def test_5():
num_letters = len("genepi")
protogenes = protogene_factory(CharGene, 'x', num_letters)
protogenome = ProtoGenome(protogenes, mutation_probability = 0.05)
algo = GeneticAlgorithm(protogenome, findname,
population_size = 200,
optimization_mode = 'min',
num_parents = 8,
#elitism = False,
crossover_method = single_point_crossover,
crossover_probability = 0.5,
selection_method = select_from_top,
termination_criteria = raw_score_stop,
termination_criteria_options={'stop_score':0}
)
algo.evolve(debug=True)
bi = algo.best_individual()
print bi.score
print "".join(bi.list_value())
