public override INeuralNetChromosome Clone()
{
var clone = new RMP_Chromosome();
clone.InhibitoryConnectionChance = InhibitoryConnectionChance;
clone.ConnectionChance = ConnectionChance;
clone.NewConnectionsCanForm = NewConnectionsCanForm;
clone.ConnectionsCanDie = ConnectionsCanDie;
clone.NewNeuronsCanForm = NewNeuronsCanForm;
clone.NeuronsCanDie = NeuronsCanDie;
clone.EyeRNeuronGenes.AddRange(EyeRNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.EyeGNeuronGenes.AddRange(EyeGNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.EyeBNeuronGenes.AddRange(EyeBNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.DistanceNeuronGenes.AddRange(DistanceNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.HiddenNeuronGenes.AddRange(HiddenNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.InputNeuronGenes.AddRange(InputNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.OutputNeuronGenes.AddRange(OutputNeuronGenes.Select(n => (RMP_NeuronGene)n.Clone()));
clone.MutationGenes.AddRange(MutationGenes.Select(n => (DoubleGene)n.Clone()));
clone.GlobalSigmoidFunction = (SigmoidFunction)GlobalSigmoidFunction.Clone();
clone.GlobalOutputSigmoidFunction = (SigmoidFunction)GlobalOutputSigmoidFunction.Clone();
return(clone);
}
public void Mutate_RemoveNeurons()
{
var neuronMap = new Dictionary <int, RMP_NeuronGene>();
//Remove Neurons
if (NeuronRemoveChance.Value > Pseudo.Random.NextDouble())
{
int count = 0;
foreach (var neuron in HiddenNeuronGenes)
{
neuron.Name += "-" + count.ToString();
neuronMap.Add(count, neuron);
count++;
}
int removeCount = 1;
for (int n = 0; n < removeCount; n++)
{
int neuronIndex;
do
{
neuronIndex = Pseudo.Random.Next(HiddenNeuronGenes.Count);
} while (HiddenNeuronGenes[neuronIndex] == null);
var gene = HiddenNeuronGenes[neuronIndex];
HiddenNeuronGenes[neuronIndex] = null;
neuronMap.Remove(neuronIndex);
}
HiddenNeuronGenes.Clear();
HiddenNeuronGenes.AddRange(from key in neuronMap.Keys orderby Convert.ToInt32(key) select neuronMap[key]);
foreach (RMP_NeuronGene neuronGene in neuronMap.Values.Concat(this.Inputs))
{
foreach (var connection in new List <RMP_ConnectionGene>(neuronGene.Connections))
{
if (!connection.IsOutputConnection)
{
if (neuronMap.ContainsKey(connection.Target))
{
var target = neuronMap[connection.Target];
connection.Target = HiddenNeuronGenes.IndexOf(target);
}
else
{
neuronGene.Connections.Remove(connection);
}
}
}
}
}
}
public void Mutate_AddNeurons()
{
//Add Neurons
if (NeuronAddChance.Value > Pseudo.Random.NextDouble())
{
int neuronCount = Pseudo.Random.Next((int)Math.Round(HiddenNeuronGenes.Count * MaxNeuronAdding.Value));
for (int n = 0; n < neuronCount; n++)
{
HiddenNeuronGenes.Add(GetRandomNeuronGene("Hidden RMP_Neuron"));
}
}
}
public void Mutate_RemoveNeurons()
{
var neuronMap = new Dictionary <int, SpNeuronGene>();
//Remove Neurons
if (NeuronRemoveChance.Value > Pseudo.Random.NextDouble())
{
int count = 0;
foreach (var neuron in HiddenNeuronGenes)
{
neuronMap.Add(count, neuron);
count++;
}
int removeCount = Pseudo.Random.Next((int)Math.Round(HiddenNeuronGenes.Count * MaxNeuronRemoving.Value, 0));
for (int n = 0; n < removeCount; n++)
{
int neuronIndex;
do
{
neuronIndex = Pseudo.Random.Next(HiddenNeuronGenes.Count);
} while (HiddenNeuronGenes[neuronIndex] == null);
var gene = HiddenNeuronGenes[neuronIndex];
HiddenNeuronGenes[neuronIndex] = null;
neuronMap.Remove(neuronIndex);
}
HiddenNeuronGenes.Clear();
HiddenNeuronGenes.AddRange(from key in neuronMap.Keys orderby key select neuronMap[key]);
foreach (var neuronGene in neuronMap.Values.Concat(EyeRNeuronGenes).Concat(EyeGNeuronGenes).Concat(EyeBNeuronGenes).Concat(InputNeuronGenes))
{
foreach (var connection in new List <SpConnectionGene>(neuronGene.Connections))
{
if (!connection.IsOutputConnection && neuronMap.ContainsKey(connection.Target))
{
var target = neuronMap[connection.Target];
connection.Target = HiddenNeuronGenes.IndexOf(target);
}
else
{
neuronGene.Connections.Remove(connection);
}
}
}
}
}
public void Mutate_AddNeurons()
{
//Add Neurons
if (NeuronAddChance.Value > Pseudo.Random.NextDouble())
{
int neuronCount = 1;
for (int n = 0; n < neuronCount; n++)
{
var neuronGene = GetRandomNeuronGene();
ConnectRandomly(neuronGene, false);
HiddenNeuronGenes.Add(neuronGene);
}
}
}
public override void CreateRandom(int eyeNeurons, int inputs, int outputs, int hidden)
{
MutationGenes.Clear();
MutationGenes.Add(new DoubleGene("NeuronAddChance", 0, 1, 0.1));
MutationGenes.Add(new DoubleGene("NeuronRemoveChance", 0, 1, 0.1));
MutationGenes.Add(new DoubleGene("MaxNeuronRemoving", 0, 1, 0.1));
MutationGenes.Add(new DoubleGene("MaxNeuronAdding", 0, 1, 0.1));
MutationGenes.Add(new DoubleGene("ConnectionAddChance", 0, 1, 0.1));
MutationGenes.Add(new DoubleGene("ConnectionRemoveChance", 0, 1, 0.1));
EyeRNeuronGenes.Clear();
EyeGNeuronGenes.Clear();
EyeBNeuronGenes.Clear();
DistanceNeuronGenes.Clear();
for (int i = 0; i < eyeNeurons; i++)
{
EyeRNeuronGenes.Add(GetRandomNeuronGene("Red"));
}
for (int i = 0; i < eyeNeurons; i++)
{
EyeGNeuronGenes.Add(GetRandomNeuronGene("Green"));
}
for (int i = 0; i < eyeNeurons; i++)
{
EyeBNeuronGenes.Add(GetRandomNeuronGene("Blue"));
}
for (int i = 0; i < eyeNeurons; i++)
{
DistanceNeuronGenes.Add(GetRandomNeuronGene("Distance"));
}
HiddenNeuronGenes.Clear();
InputNeuronGenes.Clear();
OutputNeuronGenes.Clear();
for (int n = 0; n < hidden; n++)
{
HiddenNeuronGenes.Add(GetRandomNeuronGene("Hidden Neuron"));
}
for (int n = 0; n < inputs; n++)
{
InputNeuronGenes.Add(GetRandomNeuronGene("Input Neuron"));
}
for (int n = 0; n < outputs; n++)
{
OutputNeuronGenes.Add(GetRandomNeuronGene("Output Neuron"));
}
foreach (var gene in EyeRNeuronGenes)
{
ConnectRandomly(gene, true);
}
foreach (var gene in EyeGNeuronGenes)
{
ConnectRandomly(gene, true);
}
foreach (var gene in EyeBNeuronGenes)
{
ConnectRandomly(gene, true);
}
foreach (var gene in DistanceNeuronGenes)
{
ConnectRandomly(gene, true);
}
foreach (var gene in HiddenNeuronGenes)
{
ConnectRandomly(gene, false);
}
foreach (var gene in InputNeuronGenes)
{
ConnectRandomly(gene, true);
}
}
