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
