def InitializeRandomPop(self):
for i in range(0, self.popSize):
first = np.random.random_sample((c.numInputs, c.numHidden)) * 2 - 1
second = np.random.random_sample(
(c.numHidden, c.numOutputs)) * 2 - 1
genome = [first, second]
self.p[i] = INDIVIDUAL(i, genome, 0) # age=0
def InitializeUniformPop(self, genome):
for i in range(0, self.popSize):
self.p[i] = INDIVIDUAL(i, genome, 0)
'begin\n**********************')
parents = POPULATION(c.popSize)
if k < num_rand:
first = np.random.random_sample((c.numInputs, c.numHidden)) * 2 - 1
second = np.random.random_sample((c.numHidden, c.numOutputs)) * 2 - 1
genome = [first, second]
else:
filename = 'genome' + str(fit_labels[0])
del fit_labels[0]
pathLoad = c.pathLoad
filename = pathLoad + filename
g = open(filename, 'r')
genome = pickle.load(g)
g.close()
# parents.InitializeUniformPop(genome)
parents.p[k] = INDIVIDUAL(k, genome, 0)
parents.Evaluate(envs, pp=False, pb=True)
parents.Print()
for i in range(0, c.numGensDivPop):
# the POPULATION constructor creates an empty dictionary and stores the variable popSize
children = POPULATION(c.popSize)
# children.Print('bm')
print()
children.FillFrom(parents)
print('seconds remaining', t_end - time.time())
# print('\n0', end=' ')
parents.Print()
children.Evaluate(envs, pp=False, pb=True)
# print(i, end=' ')
def FillWithRandIndv(self, index):
first = np.random.random_sample((c.numInputs, c.numHidden)) * 2 - 1
second = np.random.random_sample((c.numHidden, c.numOutputs)) * 2 - 1
genome = [first, second]
self.p[index] = INDIVIDUAL(index, genome, 0) # age=0
print('**********************\nindividual num', k,
'begin\n**********************')
if k < num_rand:
first = np.random.random_sample((c.numInputs, c.numHidden)) * 2 - 1
second = np.random.random_sample((c.numHidden, c.numOutputs)) * 2 - 1
genome = [first, second]
else:
filename = 'genome' + str(fit_labels[0])
del fit_labels[0]
pathLoad = c.pathLoad
filename = pathLoad + filename
g = open(filename, 'r')
genome = pickle.load(g)
g.close()
parentsF.p[k] = INDIVIDUAL(k, genome)
for e in envs.envs:
parentsF.p[k].Start_Evaluation(envs.envs[e],
pp=False,
pb=True,
send=True)
parentsF.Evaluate(envs, pp=False, pb=True)
parentsF.Print('population size', k)
print('################ Begin parallel hill climber ######################')
while time.time() < t_end:
# print('############# i', i)
print('seconds remaining', t_end - time.time())
print('\nF', end='')