def mutate(parameters):
if random.random() < 0.002:
return genetic.random_individual_parameters()
new = dict(**parameters)
if random.random() < 0.02:
new['palette_1'] = random.choice(xrange(256*256*256))
if random.random() < 0.02:
new['palette_2'] = random.choice(xrange(256*256*256))
if random.random() < 0.02:
new['palette_3'] = random.choice(xrange(256*256*256))
if random.random() < 0.02:
new['palette_4'] = random.choice(xrange(256*256*256))
if random.random() < 0.02:
new['palette_5'] = random.choice(xrange(256*256*256))
if random.random() < 0.01:
new['colors_limit'] = random.choice([3,4,5])
if random.random() < 0.1:
new['h_left_above'] = not new['h_left_above']
if random.random() < 0.1:
new['h_right_above'] = not new['h_right_above']
if random.random() < 0.1:
new['c_top_above'] = not new['c_top_above']
if random.random() < 0.1:
new['k_top_above'] = not new['k_top_above']
return new
def populate_current_generation_if_empty():
if not Database.current_generation_is_empty():
return
print "Adding new random individuals to generation."
for i in xrange(0, Constants.POPULATION_SIZE):
newIndividualParameters = genetic.random_individual_parameters()
Database.add_individual_to_current_generation(newIndividualParameters)
