public void Initialize()
{
Genes.Clear();
Fitness = 0;
int genes = _settings.GenomeLength;
// create a random bit string (random genes)
for (int i = 0; i < genes; ++i)
{
var gene = new Gene <TCombinationModel>(_settings);
int initPasses = 0;
// Make sure all genes are unique
do
{
gene.Initialize();
initPasses++;
} while (Genes.Any(g => g.GetActivePartsString().Equals(gene.GetActivePartsString())));
Genes.Add(gene);
Debug.WriteLineIf(initPasses > 1, $"# Re-initialized because of duplicate gene ({initPasses})");
}
RebuildModelFollowingGenes();
UpdateFitnessScore();
}
public void FromParents(Neat parent, Neat other)
{
lock (ThinkLock) {
OnRemove?.Invoke();
Neurons.Clear();
Genes.Clear();
}
if (other == null || R.NextDouble() > mutate_crossover)
{
CopyFrom(parent);
VaryColor(parent, null);
}
else
{
Dictionary <int, Gene> genes = new Dictionary <int, Gene>();
foreach (Gene gene in parent.Genes.Concat(other.Genes))
{
if (!genes.ContainsKey(gene.innovation))
{
Gene mutate = gene;
if (!mutate.enabled && R.NextDouble() < mutate_enable)
{
mutate.enabled = true;
}
genes[gene.innovation] = mutate;
}
}
int max = 0;
foreach (Gene gene in genes.Values)
{
max = Max(max, Max(gene.from, gene.axon.destination));
Genes.Add(gene);
}
addNeurons(max);
innovation = Max(parent.innovation, other.innovation);
VaryColor(parent, other);
}
MutateEnable();
Mutate();
}