public override NeuralNetDNA <T> crossover(NeuralNetDNA <T> p_crossover_object)
{
//CAN optimize with another private function. CLone copies all weights then they get overriden
NeuralNetDNA <T> crossovered = Clone();
for (int i = 0; i < m_weights.Length; i++)
{
crossovered.m_weights[i] = MatrixCalc.crossover(m_weights[i], p_crossover_object.m_weights[i]);
}
return(crossovered);
}
public override NeuralNetDNA <T> mutate()
{
NeuralNetDNA <T> mutated = Clone();
for (int i = 0; i < m_weights.Length; i++)
{
bool test = BoolCalc.random();
Range <float> mut = test ? m_mutation_multiplier : new Range <float>(-m_mutation_multiplier.Min, -m_mutation_multiplier.Max);
mutated.m_weights[i] = MatrixCalc.elementwiseRandomMultiply(m_weights[i], mut);
}
return(mutated);
}
public NeuralNetDNA <T> Clone()
{
NeuralNetDNA <T> clone = new NeuralNetDNA <T>(m_id, m_inputs, m_outputs, m_mutation_multiplier);
clone.m_weights = new Matrix <float> [m_weights.Length];
for (int i = 0; i < m_weights.Length; i++)
{
clone.m_weights[i] = MatrixCalc.shallowClone(m_weights[i]);
}
return(clone);
}
public MindBodyNNDNA(int p_species_id, TraitGenesDNA p_body, NeuralNetDNA <T> p_mind)
{
m_species_id = p_species_id;
m_body = p_body.Clone();
m_mind = p_mind.Clone();
}