def main():
parser = argparse.ArgumentParser()
parser.add_argument('--threshold', type=int, default=0)
parser.add_argument('--population_size', type=int, default=50)
parser.add_argument('--n_simulations', type=int, default=10)
parser.add_argument('--mutation_chance', type=float, default=0.01)
parser.add_argument('--selection_rate', type=float, default=0.4)
args = parser.parse_args()
Chromosome.set_globals(
args.n_simulations,
args.mutation_chance) # initialize macro for N and q
population = Generation(
[Chromosome.random()
for i in range(args.population_size)], args.selection_rate,
args.threshold) # initialize macro for p and stopping_criteria
fittest = population.run()
print('Fittest member: {}'.format(fittest))
