public void addSynapse(Synapse synapse, Genome parent1, Genome parent2)
{
if (this.fitness != -1)
{
return;
}
if (this.synapses.ContainsKey(synapse.innovationNumber))
{
return;
}
synapse = synapse.clone();
if (parent1 != null && parent2 != null)
{
if (parent1.hasSynapse(synapse.innovationNumber) && parent2.hasSynapse(synapse.innovationNumber))
{
bool dis1 = !parent1.synapses[synapse.innovationNumber].enabled;
bool dis2 = !parent2.synapses[synapse.innovationNumber].enabled;
if ((dis1 && !dis2) || (!dis1 && dis2))
{
bool disabled = RandomUtil.success(Config.NEURON_DISABLE_CHANCE);
synapse.enabled = !disabled;
}
}
}
this.synapses.Add(synapse.innovationNumber, synapse);
}
private static Genome crossDominant(NeatManager neat, Genome dominant, Genome other)
{
if (dominant.synapses.Count == 0 || other.synapses.Count == 0)
{
return(null);
}
int similarityNeurons = -1;
for (int i = 1; i < 100000; i++)
{
if (dominant.hasSynapse(i) && other.hasSynapse(i))
{
similarityNeurons = i;
}
}
if (similarityNeurons == -1)
{
throw new Exception("No similarity between Genomes");
}
Genome newGenome = new Genome(neat, null, dominant.inputNeurons.ToArray(), dominant.outputNeurons.ToArray());
for (int i = 1; i <= dominant.getHighestInnovationNumber(); i++)
{
if (dominant.hasSynapse(i))
{
int innovationNumber, inputNeuron, outputNeuron;
double weigth;
bool enabled;
if (other.hasSynapse(i))
{
Random r = new Random();
if (r.Next(0, 1) == 1)
{
innovationNumber = dominant.synapses[i].innovationNumber;
inputNeuron = dominant.synapses[i].from;
outputNeuron = dominant.synapses[i].to;
weigth = dominant.synapses[i].weight;
enabled = dominant.synapses[i].enabled;
}
else
{
innovationNumber = other.synapses[i].innovationNumber;
inputNeuron = other.synapses[i].from;
outputNeuron = other.synapses[i].to;
weigth = other.synapses[i].weight;
enabled = other.synapses[i].enabled;
}
}
else
{
innovationNumber = dominant.synapses[i].innovationNumber;
inputNeuron = dominant.synapses[i].from;
outputNeuron = dominant.synapses[i].to;
weigth = dominant.synapses[i].weight;
enabled = dominant.synapses[i].enabled;
}
newGenome.addSynapse(new Synapse(innovationNumber, inputNeuron, outputNeuron, weigth, enabled), dominant, other);
}
}
newGenome.removeDuplicateSynapses();
newGenome.mutate();
return(newGenome);
}
