def breed(self, generation):
splicer = GeneSplicer()
children = []
for count in range(0, int(self.expected_children)):
if count == 0:
mum = copy.deepcopy(self.member_organisms[count])
else:
mum = copy.deepcopy(self.member_organisms[random.randint(0, len(self.member_organisms) - 1)])
if random.random() < MATE_PROBABILITY:
dad = copy.deepcopy(self.member_organisms[random.randint(0, len(self.member_organisms) - 1)])
junior = splicer.mate(mum, dad)
junior["reproduction"] = "Mate"
else:
junior = mum
splicer.mutate(junior)
junior["reproduction"] = "Mutate"
junior["parent"] = mum["id"]
junior["id"] = ControlPanel.next_organism_number()
junior["generation"] = generation
junior["species"] = self.id
children.append(junior)
mutants = []
for child in children:
if splicer.compatibility_scan(self.representative, child) < COMPATIBILITY_THRESHOLD:
self.member_organisms.append(child)
else:
mutants.append(child)
return mutants
def test_mating(self):
genome1 = self.read_genome('CryogenicStorage/xor_genome.json')
genome2 = self.read_genome('CryogenicStorage/xor_genome.json')
del genome1["synapses"][2]
del genome2["synapses"][6:9]
genome2["synapses"][3]["weight"] = 1.5
splicer = GeneSplicer()
print json.dumps(splicer.mate(genome1, genome2),indent=2)
def breed(self, generation):
splicer = GeneSplicer()
children = []
for count in range(0, int(self.expected_children)):
if count == 0:
mum = copy.deepcopy(self.member_organisms[count])
else:
mum = copy.deepcopy(self.member_organisms[random.randint(
0,
len(self.member_organisms) - 1)])
if random.random() < MATE_PROBABILITY:
dad = copy.deepcopy(self.member_organisms[random.randint(
0,
len(self.member_organisms) - 1)])
junior = splicer.mate(mum, dad)
junior["reproduction"] = "Mate"
else:
junior = mum
splicer.mutate(junior)
junior["reproduction"] = "Mutate"
junior["parent"] = mum["id"]
junior["id"] = ControlPanel.next_organism_number()
junior["generation"] = generation
junior["species"] = self.id
children.append(junior)
mutants = []
for child in children:
if splicer.compatibility_scan(self.representative,
child) < COMPATIBILITY_THRESHOLD:
self.member_organisms.append(child)
else:
mutants.append(child)
return mutants
