def Breed(self, other):
p1 = random.randint(0, len(other.p) - 1)
# p1 = 0
p2 = random.randint(0, len(other.p) - 1)
child = INDIVIDUAL(1) # This only sets up the framework of the child
geneImprint = MatrixCreate(len(other.p[p1].genome),
len(other.p[p1].genome[0]))
geneImprint = MatrixRandomize(geneImprint)
childGenome = other.p[p1].genome * geneImprint
childGenome += other.p[p2].genome * np.logical_not(geneImprint)
child.genome = childGenome
return child
import numpy as np
import math
import pip
import pyrosim
import random
import copy
import pickle
from snakeservo import ROBOT
from individual import INDIVIDUAL
from population import POPULATION
genvector = np.genfromtxt('bestind.txt', dtype='float')
print genvector
indbest = INDIVIDUAL(0)
indbest.genome = genvector
print indbest.genome
indbest.Start_Evaluation(False)
