def mutateAddNode(self):
newNode = THGene.THNodeGene(0, "Hidden", False, False)
connIndex = random.randint(0, self.numConns - 1)
existingConn = self.connGenes[connIndex]
self.connGenes[connIndex].disable() #disable existing conn
# add new incoming nodes
#newNode.incoming.append(self.connGenes[connIndex].input)
#self.connGenes[connIndex].output.incoming.append(newNode)
self.addNodeGene(newNode) #append the newNodeGene
print("MUTATE LOCALID BELOW")
print(newNode.localID)
# create 2 new ConnGenes
newInputConn = THGene.THConnGene(existingConn.input, newNode,
existingConn.weight, True)
newOutputConn = THGene.THConnGene(newNode, existingConn.output, 1,
True)
self.addConnGene(newInputConn)
self.addConnGene(newOutputConn)
self.fitness = 0
def mutateAddConn(self):
validINodes = []
validONodes = []
for i in range(0, self.numNodes):
if (self.nodeGenes[i].isInput == True
or (self.nodeGenes[i].isInput == False
and self.nodeGenes[i].isOutput == False)):
validINodes.append(self.nodeGenes[i])
if (self.nodeGenes[i].isOutput == True
or (self.nodeGenes[i].isInput == False
and self.nodeGenes[i].isOutput == False)):
validONodes.append(self.nodeGenes[i])
iIndex = random.randint(0, len(validINodes) - 1)
oIndex = random.randint(0, len(validONodes) - 1)
if (validONodes[oIndex].localID == validINodes[iIndex].localID
and oIndex != len(validONodes) - 1):
oIndex += 1
elif (validONodes[oIndex].localID == validINodes[iIndex].localID
and oIndex != 0):
oIndex -= 1
newConn = THGene.THConnGene(validINodes[iIndex], validONodes[oIndex],
1, True)
#validONodes[oIndex].incoming.append(validINodes[iIndex])
if (self.containsConn(newConn) == False): self.addConnGene(newConn)
self.fitness = 0
def generateConns(count):
conns = []
#""" Create a global variable to store innovationID and nodes before any further progress can be made on this"""
for i in range(0, count):
node1 = random.randint(0, NNDatabase.numNodeGenes)
node2 = random.randint(0, NNDatabase.numNodeGenes)
if node1 > node2 or node1 == node2:
i -= 1
continue
newConn = THGene.THConnGene(NNDatabase.nodeGenes[node1],
NNDatabase.nodeGenes[node2], 1, True)
#NNDatabase.innovationID += 1
conns.append(newConn)
hidden1 = THGene.THNodeGene(0, "hidden", False, False)
output1 = NNDatabase.outputs[3]
output2 = NNDatabase.outputs[0]
#add nodes
testNetwork.addNodeGene(input1)
testNetwork.addNodeGene(input2)
testNetwork.addNodeGene(input3)
testNetwork.addNodeGene(output1)
testNetwork.addNodeGene(hidden1)
testNetwork.addNodeGene(output2)
#create conns
conn1 = THGene.THConnGene(testNetwork.nodeGenes[0], testNetwork.nodeGenes[3],
0.7, True)
conn2 = THGene.THConnGene(testNetwork.nodeGenes[1], testNetwork.nodeGenes[3],
0.5, False)
conn3 = THGene.THConnGene(testNetwork.nodeGenes[2], testNetwork.nodeGenes[3],
0.5, True)
conn4 = THGene.THConnGene(testNetwork.nodeGenes[1], testNetwork.nodeGenes[4],
0.2, True)
conn5 = THGene.THConnGene(testNetwork.nodeGenes[4], testNetwork.nodeGenes[3],
0.4, True)
conn6 = THGene.THConnGene(testNetwork.nodeGenes[0], testNetwork.nodeGenes[4],
0.6, True)
conn7 = THGene.THConnGene(testNetwork.nodeGenes[0], testNetwork.nodeGenes[5],
0.8, True)
conn8 = THGene.THConnGene(testNetwork.nodeGenes[4], testNetwork.nodeGenes[5],
1, True)