def do_cross_over(network1, network2):
network_n1 = Network()
network_n2 = Network()
network_n1.create_weights(False)
network_n2.create_weights(False)
split = randint(0, 21)
for i in range(0, split):
network_n1.dictLayers[0].data[0,
i] = network1.dictLayers[0].data[0,
i]
network_n2.dictLayers[0].data[0,
i] = network2.dictLayers[0].data[0,
i]
for i in range(split, 22):
network_n1.dictLayers[0].data[0,
i] = network2.dictLayers[0].data[0,
i]
network_n2.dictLayers[0].data[0,
i] = network1.dictLayers[0].data[0,
i]
split = randint(0, 19)
for j in range(0, 62):
for i in range(0, split):
network_n1.dictLayers[1].data[
j, i] = network1.dictLayers[1].data[j, i]
network_n2.dictLayers[1].data[
j, i] = network2.dictLayers[1].data[j, i]
for i in range(split, 19):
network_n1.dictLayers[1].data[
j, i] = network2.dictLayers[1].data[j, i]
network_n2.dictLayers[1].data[
j, i] = network1.dictLayers[1].data[j, i]
split = randint(0, 2)
for j in range(0, 19):
for i in range(0, split):
network_n1.dictLayers[2].data[
j, i] = network1.dictLayers[2].data[j, i]
network_n2.dictLayers[2].data[
j, i] = network2.dictLayers[2].data[j, i]
for i in range(split, 3):
network_n1.dictLayers[2].data[
j, i] = network2.dictLayers[2].data[j, i]
network_n2.dictLayers[2].data[
j, i] = network1.dictLayers[2].data[j, i]
return network_n1, network_n2
def activate_networks():
p = [1, 0, 1, 6]
networks = []
new_networks = []
for i in range(1, 7):
network = Network.read_networks(i)[0]
networks.append(network)
for i in range(0, 6):
temp_i_network = networks[i]
for j in range(i, 6):
temp_j_network = networks[j]
if (temp_i_network.error.data[0] > temp_j_network.error.data[0]):
temp_network = networks[i]
networks[i] = networks[j]
networks[j] = temp_network
for i in range(0, 3):
network = Network(p)
network.create_weights()
network_1 = Network(p)
network_1.create_weights()
parent1_index = randint(0, 4)
parent2_index = randint(0, 4)
w1 = networks[parent1_index].dict_layers[0]
w2 = networks[parent2_index].dict_layers[0]
w_new, w_new_1 = create_new_weight(w1, w2)
network.dict_layers[0] = w_new
network_1.dict_layers[0] = w_new_1
w1 = networks[parent1_index].dict_layers[1]
w2 = networks[parent2_index].dict_layers[1]
w_new, w_new_1 = create_new_weight(w1, w2)
network.dict_layers[1] = w_new
network_1.dict_layers[1] = w_new_1
new_networks.append(network)
new_networks.append(network_1)
print(len(new_networks))
with Pool(6) as p:
p.map(
worker,
[[new_networks[0], 1], [new_networks[1], 2], [new_networks[2], 3],
[new_networks[3], 4], [new_networks[4], 5], [new_networks[5], 6]])