public void GenomeNodeMutation()
{
Genometype.NodeGenes[] nodes = new Genometype.NodeGenes[] {
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Input, _IOIndex: 0),
new Genometype.NodeGenes(Genometype.NodeGenes.Types.Output),
};
Genometype.ConnectionGenens[] connections = new Genometype.ConnectionGenens[] {
new Genometype.ConnectionGenens(0, 2, 0.123f),
new Genometype.ConnectionGenens(1, 2, 3f),
};
GenomeMutationController controller = new GenomeMutationController(new Genometype(nodes, connections));
controller.MutateByInsertNodeBetweenConnection();
for (int i = 0; i < controller.mutations.Count; i++)
{
Debug.Log(controller.mutations[i]);
}
}
public void DoGenomeMutation()
{
List <WeightOptimize.GenomeScore> bestScores = new List <WeightOptimize.GenomeScore>();
// WeightOptimize.GenomeScore bestScore = new WeightOptimize.GenomeScore(null, 0);
// Find the best 3 genome from the weight optimizers
for (int i = 0; i < m_weightOptimizers.Count; i++)
{
WeightOptimize.GenomeScore score = m_weightOptimizers[i].ExtractBestData();
if (bestScores.Count < genomeSurviveCount)
{
bestScores.Add(score);
}
else
{
for (int e = 0; e < bestScores.Count; e++)
{
if (score.score > bestScores[e].score)
{
bestScores.Insert(e, score);
bestScores.RemoveAt(bestScores.Count - 1);
break;
}
}
}
}
List <Genometype> surviveGenomes = new List <Genometype>();
for (int i = 0; i < bestScores.Count; i++)
{
surviveGenomes.Add(bestScores[i].genome);
}
m_aliveGenomes.Clear();
m_weightOptimizers.Clear();
m_aliveGenomes.AddRange(surviveGenomes);
List <Genometype> possibleMutations = new List <Genometype>();
int genomePerGenome = (maxGenomeAtATime - m_aliveGenomes.Count) / m_aliveGenomes.Count;
for (int i = 0; i < surviveGenomes.Count; i++)
{
GenomeMutationController mutateController = new GenomeMutationController(surviveGenomes[i]);
mutateController.MutateByAddingConnection();
mutateController.MutateByInsertNodeBetweenConnection();
if (mutateController.mutations.Count > genomePerGenome)
{
ShuffleList <Genometype>(mutateController.mutations);
for (int e = 0; e < genomePerGenome; e++)
{
m_aliveGenomes.Add(mutateController.mutations[e]);
}
}
else
{
m_aliveGenomes.AddRange(mutateController.mutations);
}
}
for (int i = 0; i < m_aliveGenomes.Count; i++)
{
m_weightOptimizers.Add(new WeightOptimize(this, genomeBirdCount, genomeBirdSurviveCount));
m_weightOptimizers[i].InsertGenome(m_aliveGenomes[i], fullyRandom: false);
}
}