def solve_hill(problem, problem_name):
start = timer()
best_state, best_fitness, fitness_curve = random_hill_climb(problem,
curve=True,
restarts=10)
end = timer()
plot = plot_curve(problem_name + "-Random Climb", "Iterations", "Fitness",
range(fitness_curve.size), fitness_curve).show()
time = end - start
num_iters = fitness_curve.size
return best_fitness, time, num_iters, plot
print('sa algorithm @ {} iterations'.format(i))
print(best_fitness)
print(end - start)
print(len(c))
times_sa.append(end - start)
fitns_sa.append(best_fitness)
# ________________________________________________________________________________________________________________________
# Solve problem using random hill climb
times_rhc = []
fitns_rhc = []
for i in iterations:
start = time.time()
best_state, best_fitness, c = mlrose.random_hill_climb(problem_fit,
max_attempts=10,
max_iters=i,
restarts=0,
init_state=None,
curve=True,
random_state=3)
end = time.time()
print('rhc algorithm @ {} iterations'.format(i))
print(best_fitness)
print(end - start)
print(len(c))
times_rhc.append(end - start)
fitns_rhc.append(best_fitness)
# ________________________________________________________________________________________________________________________
# Solve using MIMIC
times_mim = []
fitns_mim = []