private void AdjustNeuronCount(NeatGene gene)
{
if (gene.To + 1 > NeuronCount)
{
NeuronCount = gene.To + 1;
}
}
public bool Equals(NeatGene other)
{
if (other == null)
{
return(false);
}
return(History == other.History || From == other.From && To == other.To);
}
private NeatGene FindGene(NeatGene gene)
{
for (var i = 0; i < _cache.Count; i++)
{
if (_cache[i] == gene)
{
return(_cache[i]);
}
}
return(null);
}
public void AssignHistory(NeatGene gene)
{
var innov = FindGene(gene);
if (innov == null)
{
gene.History = _nextHistory++;
_cache.Add(gene);
}
else
{
gene.History = innov.History;
}
}
public NeatChromosome(Neat neat, int inputCount, int outputCount)
{
_neat = neat;
InputCount = inputCount;
OutputCount = outputCount;
_genes = new List <NeatGene>();
for (var i = 0; i < inputCount + neat.Structure.BiasNeuronCount; i++)
{
for (var j = 0; j < outputCount; j++)
{
var gene = new NeatGene(neat, i, j + inputCount + neat.Structure.BiasNeuronCount);
AppendGene(gene);
}
}
}
private void AddRandomNeuron(InnovationCacher currentGeneration)
{
var randGene = GetRandomEnabledGene();
var index = Chromosome.NeuronCount;
var g1 = new NeatGene(_neat, randGene.From, index);
g1.Weight = 1.0;
g1.Recursive = randGene.Recursive;
currentGeneration.AssignHistory(g1);
var g2 = new NeatGene(_neat, index, randGene.To);
g2.Weight = randGene.Weight;
g2.Recursive = randGene.Recursive;
currentGeneration.AssignHistory(g2);
randGene.Enabled = false;
Chromosome.AppendGene(g1);
Chromosome.AppendGene(g2);
}
private void AddRandomConnection(InnovationCacher currentGeneration)
{
var neuronPair = GetTwoUnconnectedNeurons();
var fromNeuron = neuronPair[0];
var toNeuron = neuronPair[1];
var newConnectionGene = new NeatGene(_neat, _neurons.IndexOf(fromNeuron), _neurons.IndexOf(toNeuron));
if (fromNeuron.Layer > toNeuron.Layer)
{
if (!_neat.Structure.AllowRecurrentConnections)
{
throw new Exception("Illegal recurrent connection");
}
newConnectionGene.Recursive = true;
}
currentGeneration.AssignHistory(newConnectionGene);
var inConnection = new NeatNeuron.Connection();
inConnection.Recursive = newConnectionGene.Recursive;
inConnection.Neuron = fromNeuron;
inConnection.Weight = newConnectionGene.Weight;
toNeuron.Connections.Add(inConnection);
var outConnection = new NeatNeuron.Connection();
outConnection.Recursive = newConnectionGene.Recursive;
outConnection.Neuron = toNeuron;
outConnection.Weight = newConnectionGene.Weight;
outConnection.OutGoing = true;
fromNeuron.Connections.Add(outConnection);
Chromosome.AppendGene(newConnectionGene);
CategorizeNeuronsIntoLayers();
}
public bool ContainsGene(NeatGene gene)
{
return(_genes.Contains(gene));
}
public void InsertGeneAt(NeatGene gene, int index)
{
AdjustNeuronCount(gene);
_genes.Insert(index, gene);
}
public void AppendGene(NeatGene gene)
{
AdjustNeuronCount(gene);
_genes.Add(gene);
}