def main():
file = input("Select the number of factories: 12, 14, 16, 18 or 20")
file_name = '{0}.txt'.format(file)
size, distance, flow = read_data(file_name)
ga = Algorithm.GeneticAlgorithm(size,
distance,
flow,
200,
0.5,
0.2,
50,
selection='tournament',
tour_size=5,
caching=False)
test_size = 1
results_array = np.zeros(shape=(test_size, 2), dtype=int)
for i in range(test_size):
results = ga.run()
results_array[i, 0] = results[0][:, 1][-1]
results_array[i, 1] = results[0][:, 2][-1]
ga = Algorithm.GeneticAlgorithm(size,
distance,
flow,
50,
0.5,
0.2,
200,
selection='tournament',
tour_size=5,
caching=False)
results_array1 = np.zeros(shape=(test_size, 2), dtype=int)
for i in range(test_size):
results = ga.run()
results_array1[i, 0] = results[0][:, 1][-1]
results_array1[i, 1] = results[0][:, 2][-1]
print(results_array)
print("average of the best fitness found in 10 runs: ")
print(np.average(results_array[:, 0], axis=0))
print("the best fitness found in 10 runs: ")
print(np.amin(results_array[:, 0], axis=0))
print("average of the average fitness found in 10 runs: ")
print(np.average(results_array[:, 1], axis=0))
print("\n\n")
print(results_array1)
print("average of the best fitness found in 10 runs: ")
print(np.average(results_array1[:, 0], axis=0))
print("the best fitness found in 10 runs: ")
print(np.amin(results_array1[:, 0], axis=0))
print("average of the average fitness found in 10 runs: ")
print(np.average(results_array1[:, 1], axis=0))
