generational_ga_card.py

population_size = 100
mutation_rate = 0.1
amount_iterations = 1000
amount_experiments = 50

elitism = 0.1
data = run_experiments(population_size, 
                       mutation_rate,
                       elitism,
                       amount_iterations,
                       amount_experiments)

amount_iters_to_complete = [d[1] for d in data]

print("var:", np.var(amount_iters_to_complete))

plt.hist(amount_iters_to_complete, bins=25)
plt.title("Histogram of steady state GA")
plt.show()