std_out = open("std.txt", "w")
# hall of fame
best_ind = []
best_score = -1
# GA loop
for g in range(1, n_gen + 1):
print("On generation " + str(g))
# collect statistics for each generation
scores = []
# simulate for each individual
for ind in pop:
score = game.run_brain(ind)
scores.append(score)
ind.fitness.values = (score,)
# update hall of fame
if score > best_score:
best_ind = ind
best_score = score
# by this point each ind.fitness.values should be the score
# output statistics for the scores
max_out.write(str(max(scores)) + "\n")
mean_out.write(str(np.mean(scores)) + "\n")
std_out.write(str(np.std(scores)) + "\n")
# Create children
