public override object Clone()
{
EvoNet copy = new EvoNet(layers);
copy.Build();
for (int i = 0; i < weights.Length; i++)
{
copy.weights[i].SetSubMatrix(0, 0, weights[i]);
copy.b_weights[i].SetSubMatrix(0, 0, b_weights[i]);
}
return(copy);
}
public (IGenotype, IGenotype) Crossover(IGenotype partner, XOptions options = default)
{
if (!Equals(partner))
{
throw new ArgumentException();
}
EvoNet offspringX = new EvoNet(layers);
EvoNet offspringY = new EvoNet(layers);
offspringX.Build();
offspringY.Build();
(float[] offspringX, float[] offspringY)offsprings = (new float[0], new float[0]);
switch (options.xType)
{
case XType.OnePointX:
offsprings = Reproduction.OnePointX(ToRowMajorArray(), ((EvoNet)partner).ToRowMajorArray());
break;
case XType.KPointX:
offsprings = Reproduction.KPointX(ToRowMajorArray(), ((EvoNet)partner).ToRowMajorArray(), options.kPoints);
break;
}
int gene = 0;
for (int w = 0; w < weights.Length; w++)
{
for (int y = 0; y < weights[w].RowCount; y++)
{
for (int x = 0; x < weights[w].ColumnCount; x++)
{
offspringX.weights[w][y, x] = offsprings.offspringX[gene];
offspringY.weights[w][y, x] = offsprings.offspringY[gene];
gene++;
}
}
for (int x = 0; x < b_weights[w].ColumnCount; x++)
{
offspringX.b_weights[w][0, x] = offsprings.offspringX[gene];
offspringY.b_weights[w][0, x] = offsprings.offspringY[gene];
gene++;
}
}
return(offspringX, offspringY);
}
public override bool Equals(object obj)
{
EvoNet other = obj as EvoNet;
if (other == null ||
layers.Count != other.layers.Count)
{
return(false);
}
for (int i = 0; i < layers.Count; i++)
{
if (layers[i].neuronCount != other.layers[i].neuronCount)
{
return(false);
}
}
return(true);
}
