def permute_parameters(runs: int): populations = (50, 100, 200) generations = (50, 100) crossovers = (60, 80) mutations = (10, 20) ga = GA.CustomGA() times = [] hits = [] for pop in populations: for gen in generations: for cross in crossovers: for mut in mutations: ga.populationSize = pop ga.num_generations = gen ga.birthRate = cross ga.mutationRate = mut before = time.time() hits_rate = parallel_run(ga.run, runs) after = time.time() estimated_time = round(after - before, 2) times.append(estimated_time) hits.append(hits_rate) return hits, times