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 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); } }