public override void Init(Genome parent, double mutationRate)
{
var nnParent = (NeuronNet)parent;
var nnSettings = (NeuronNetSettings)mSettings;
int numLayers = nnParent.mLayers.Count + LayerMutation();
numLayers = Util.Clamp(numLayers, nnSettings.mNumLayersMin, nnSettings.mNumLayersMax);
int numNeurons = 0;
int iLayer = 0;
if (numLayers > 0)
{
numNeurons = AddLayer().Init(nnSettings.mNumInputs, nnParent.GetLayer(iLayer), mutationRate);
iLayer++;
for (int iHiddenLayer = 0; iHiddenLayer < numLayers - 1; iHiddenLayer++)
{
numNeurons = AddLayer().Init(numNeurons, nnParent.GetLayer(iLayer), mutationRate);
iLayer++;
}
mOutputLayer.Init(numNeurons, nnSettings.mNumOutputs, nnParent.mOutputLayer, mutationRate);
}
else
{
mOutputLayer.Init(nnSettings.mNumInputs, nnSettings.mNumOutputs, nnParent.mOutputLayer, mutationRate);
}
}
private Genome SelectMate(Genome mateA)
{
if (mPopulation.Count <= 1)
return null;
if (mateA == null)
throw new Exception();
int orderMin = Math.Max(0, mateA.mOrder - mSettings.mMateThreshold);
int orderMax = Math.Min(mateA.mOrder + mSettings.mMateThreshold, mPopulation.Count);
int iMateB = Util.RandomRangeExcept(orderMin, orderMax, mateA.mOrder);
var mateB = mPopulation[iMateB];
mateB.mOrder = iMateB;
return mateB;
}
private Genome Cross(Genome parent)
{
var baby = (Genome)GetInstance();
Debug.Assert(baby != null);
baby.Init(parent, mSettings.mMutationRate);
return baby;
}
private Genome Cross(Genome mum, Genome dad)
{
var baby = (Genome)GetInstance();
Debug.Assert(baby != null);
baby.Init(mum, dad, mSettings.mMutationRate);
return baby;
}
public override void Init(Genome mum, Genome dad, double mutationRate)
{
var nnMum = (NeuronNet)mum;
var nnDad = (NeuronNet)dad;
var nnSettings = (NeuronNetSettings)mSettings;
int numLayers = Util.RandomRange(nnMum.mLayers.Count, nnDad.mLayers.Count) + LayerMutation();
numLayers = Util.Clamp(numLayers, nnSettings.mNumLayersMin, nnSettings.mNumLayersMax);
int numNeurons = 0;
int iLayer = 0;
if (numLayers > 0)
{
numNeurons = AddLayer().Init(nnSettings.mNumInputs, nnMum.GetLayer(iLayer), nnDad.GetLayer(iLayer), mutationRate);
iLayer++;
for (int iHiddenLayer = 0; iHiddenLayer < numLayers - 1; iHiddenLayer++)
{
numNeurons = AddLayer().Init(numNeurons, nnMum.GetLayer(iLayer), nnDad.GetLayer(iLayer), mutationRate);
iLayer++;
}
mOutputLayer.Init(numNeurons, nnSettings.mNumOutputs, nnMum.mOutputLayer, nnDad.mOutputLayer, mutationRate);
}
else
{
mOutputLayer.Init(nnSettings.mNumInputs, nnSettings.mNumOutputs, nnMum.mOutputLayer, nnDad.mOutputLayer, mutationRate);
}
}
public abstract void Init(Genome mum, Genome dad, double mutationRate);
public abstract void Init(Genome parent, double mutationRate);
public abstract void Init(Genome mum, Genome dad, double mutationRate);
public abstract void Init(Genome parent, double mutationRate);
