print("Generation loop start.")
print("Generation: 0. Best fitness: " + str(best_ind.fitness))
clk0 = 0.0
g = 0
for total_g in range(NGEN):
'''
STEP1 : Selection.
'''
t0 = time.time()
# Remove collision path
if g == 0:
new_pop = []
for ind in pop:
new_path = cc.collision_avoidance(ind)
if new_path is not None:
new_pop.append(Individual(new_path))
pop = new_pop.copy()
set_fitness(evalOneMax, pop)
# Elite selection
elites = selElite(pop, n_elite)
# Tournament Selection
offspring = selTournament(pop, n_ind - n_elite, tournsize=3)
'''
STEP2 : Mutation.
'''
t1 = time.time()
