public override void Load(System.IO.BinaryReader r, uint id)
{
base.Load(r, id);
TemplateName = r.ReadString();
ANN = BinarySerializable.GetObject <INeuralNetChromosome>(r);
}
public static EditANNChromosomeForm ShowDialogue(Window window, INeuralNetChromosome _chromosome, CloseEvent closeFunction = null, string category = null, ISkinFile file = null)
{
var form = new EditANNChromosomeForm();
form.Initialize(_chromosome, closeFunction, "Edit ANN-Chromosome", true, true, category, file);
form.Show(window);
return(form);
}
public override INeuralNetChromosome CrossoverWith(INeuralNetChromosome netC2, CrossoverFunction crossoverFunction)
{
var c2 = (SpikeNetChromosome)netC2;
var child = new SpikeNetChromosome();
//CrossoverTwoGeneLists(MutationGenes, c2.MutationGenes, CrossoverRate.Value, child.MutationGenes);
//CrossoverTwoGeneLists(EyeRNeuronGenes, c2.EyeRNeuronGenes, CrossoverRate.Value, child.EyeRNeuronGenes);
//CrossoverTwoGeneLists(EyeGNeuronGenes, c2.EyeGNeuronGenes, CrossoverRate.Value, child.EyeGNeuronGenes);
//CrossoverTwoGeneLists(EyeBNeuronGenes, c2.EyeBNeuronGenes, CrossoverRate.Value, child.EyeBNeuronGenes);
//CrossoverTwoGeneLists(DistanceNeuronGenes, c2.DistanceNeuronGenes, CrossoverRate.Value, child.DistanceNeuronGenes);
//CrossoverTwoGeneLists(HiddenNeuronGenes, c2.HiddenNeuronGenes, CrossoverRate.Value, child.HiddenNeuronGenes);
//CrossoverTwoGeneLists(InputNeuronGenes, c2.InputNeuronGenes, CrossoverRate.Value, child.InputNeuronGenes);
//CrossoverTwoGeneLists(OutputNeuronGenes, c2.OutputNeuronGenes, CrossoverRate.Value, child.OutputNeuronGenes);
return((INeuralNetChromosome)child);
}
public override INeuralNetChromosome CrossoverWith(INeuralNetChromosome netC2, CrossoverFunction crossoverFunction)
{
var c2 = (RMP_Chromosome)netC2;
var child = new RMP_Chromosome();
crossoverFunction.Crossover(MutationGenes, c2.MutationGenes, child.MutationGenes);
crossoverFunction.Crossover(EyeRNeuronGenes, c2.EyeRNeuronGenes, child.EyeRNeuronGenes);
crossoverFunction.Crossover(EyeGNeuronGenes, c2.EyeGNeuronGenes, child.EyeGNeuronGenes);
crossoverFunction.Crossover(EyeBNeuronGenes, c2.EyeBNeuronGenes, child.EyeBNeuronGenes);
crossoverFunction.Crossover(DistanceNeuronGenes, c2.DistanceNeuronGenes, child.DistanceNeuronGenes);
crossoverFunction.Crossover(HiddenNeuronGenes, c2.HiddenNeuronGenes, child.HiddenNeuronGenes);
crossoverFunction.Crossover(InputNeuronGenes, c2.InputNeuronGenes, child.InputNeuronGenes);
crossoverFunction.Crossover(OutputNeuronGenes, c2.OutputNeuronGenes, child.OutputNeuronGenes);
child.GlobalSigmoidFunction = (SigmoidFunction)GlobalSigmoidFunction.CrossoverModule(c2.GlobalSigmoidFunction, crossoverFunction);
child.GlobalOutputSigmoidFunction = (SigmoidFunction)GlobalOutputSigmoidFunction.CrossoverModule(c2.GlobalOutputSigmoidFunction, crossoverFunction);
return(child);
}
public void Initialize(INeuralNetChromosome _chromosome, CloseEvent closeFunction = null, string title = null, bool resizable = false, bool isDialog = true, string category = null, ISkinFile file = null)
{
chromosome = _chromosome;
base.Initialize(closeFunction, title, resizable, isDialog, category, file);
}
public override void ImprintGenome(INeuralNetChromosome _genome)
{
var genome = (SpikeNetChromosome)_genome;
#region Creating the neurons
foreach (var gene in genome.EyeRNeuronGenes)
{
var neuron = new SpInputNeuron(this);
neuron.ImprintGene(gene);
AddInputNeuron(neuron);
}
foreach (var gene in genome.EyeGNeuronGenes)
{
var neuron = new SpInputNeuron(this);
neuron.ImprintGene(gene);
AddInputNeuron(neuron);
}
foreach (var gene in genome.EyeBNeuronGenes)
{
var neuron = new SpInputNeuron(this);
neuron.ImprintGene(gene);
AddInputNeuron(neuron);
}
foreach (var gene in genome.DistanceNeuronGenes)
{
var neuron = new SpInputNeuron(this);
neuron.ImprintGene(gene);
AddInputNeuron(neuron);
}
foreach (var gene in genome.InputNeuronGenes)
{
var neuron = new SpInputNeuron(this);
neuron.ImprintGene(gene);
AddInputNeuron(neuron);
}
foreach (var gene in genome.HiddenNeuronGenes)
{
var neuron = new SpNeuron(this);
neuron.ImprintGene(gene);
AddHiddenNeuron(neuron);
}
foreach (var gene in genome.OutputNeuronGenes)
{
var neuron = new SpOutputNeuron(this);
neuron.ImprintGene(gene);
AddOutputNeuron(neuron);
}
#endregion
#region Connection the neurons
int count = 0;
foreach (var gene in genome.EyeRNeuronGenes)
{
var neuron = InputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
foreach (var gene in genome.EyeGNeuronGenes)
{
var neuron = InputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
foreach (var gene in genome.EyeBNeuronGenes)
{
var neuron = InputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
foreach (var gene in genome.DistanceNeuronGenes)
{
var neuron = InputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
foreach (var gene in genome.InputNeuronGenes)
{
var neuron = InputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
count = 0;
foreach (var gene in genome.HiddenNeuronGenes)
{
var neuron = HiddenNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
count = 0;
foreach (var gene in genome.OutputNeuronGenes)
{
var neuron = OutputNeurons[count++];
foreach (var connectionGene in gene.Connections)
{
neuron.Connections.Add(SpConnection.GetConnectionFromGene(connectionGene, neuron, this));
}
}
#endregion
}
public abstract void ImprintGenome(INeuralNetChromosome genome);
public void SetNetChromosome(INeuralNetChromosome netChromosome)
{
NetChromosome = netChromosome;
netChromosome.Initialize(this);
}
public abstract INeuralNetChromosome CrossoverWith(INeuralNetChromosome c2, CrossoverFunction crossoverFunction);
public override void AddedToContainer()
{
base.AddedToContainer();
var builder = new FieldBuilder();
builder.BuildSessionStart(this);
var genomeTemplatesComboBox = builder.AddComboBoxField("Genome: ");
genomeTemplatesComboBox.Items.AddRange(EditorData.GenomeTemplates.Select(s => s.TemplateName));
genomeTemplatesComboBox.Index = 0;
var annTemplatesComboBox = builder.AddComboBoxField("ANN: ");
annTemplatesComboBox.Items.AddRange(EditorData.ANNTemplates.Select(s => s.TemplateName));
annTemplatesComboBox.Index = 0;
var creatureTemplatesComboBox = builder.AddComboBoxField("Creature: ");
creatureTemplatesComboBox.Items.AddRange(EditorData.CreatureTemplates.Select(s => s.TemplateName));
creatureTemplatesComboBox.Index = 0;
var mutateCheckBox = builder.AddCheckBoxField("Mutate the genome: ");
var amountField = builder.AddIntegerField("Amount to add: ");
amountField.MinValue = 1;
builder.AddResizableButtonField("OK", delegate(object sender)
{
string name = genomeTemplatesComboBox.Items[genomeTemplatesComboBox.Index];
Genome genome = null;
foreach (var g in EditorData.GenomeTemplates)
{
if (g.TemplateName == name)
{
genome = g.Genome;
}
}
name = annTemplatesComboBox.Items[annTemplatesComboBox.Index];
INeuralNetChromosome ann = null;
foreach (var a in EditorData.ANNTemplates)
{
if (a.TemplateName == name)
{
ann = a.ANN;
}
}
name = creatureTemplatesComboBox.Items[creatureTemplatesComboBox.Index];
ICreature creature = null;
foreach (var c in EditorData.CreatureTemplates)
{
if (c.TemplateName == name)
{
creature = c.Creature;
}
}
for (int i = 0; i < amountField.Value; i++)
{
var clone = (ICreature)creature.Clone();
var cloneGenome = genome.Clone();
cloneGenome.SetNetChromosome(ann.Clone());
if (mutateCheckBox.Checked)
{
cloneGenome.Mutate();
}
clone.ImprintGenome(cloneGenome);
world.AddEntity(clone);
clone.Position = new EntityPosition(Globals.Random.Next(world.Width), Globals.Random.Next(world.Height));
}
});
builder.BuildSessionEnd();
X = (Parent.Width / 2) - (Width / 2);
Y = (Parent.Height / 2) - (Height / 2);
CanResizeFormVertically = false;
}
