static GeneList <T> CrossoverGenes <T>(GeneList <T> a, GeneList <T> b, float fitnessA, float fitnessB) where T : IHistoricalGene
{
var newGenes = new GeneList <T>(System.Math.Max(a.Count, b.Count));
foreach (var t in new GeneEnumerable <T>(a, b))
{
switch (t.First)
{
case HistoricalGeneTypes.Aligned: // Pick random aligned gene
newGenes.Add(Random.value >= 0.5f ? a[t.Second] : b[t.Third]);
break;
case HistoricalGeneTypes.DisjointA:
case HistoricalGeneTypes.ExcessA:
if (fitnessA >= fitnessB)
{
newGenes.Add(a[t.Second]);
}
break;
case HistoricalGeneTypes.DisjointB:
case HistoricalGeneTypes.ExcessB:
if (fitnessB >= fitnessA)
{
newGenes.Add(b[t.Third]);
}
break;
}
}
return(newGenes);
}
public Genotype(Genotype other)
{
this.neuronGenes = other.NeuronGenes
.Select(g => new NeuronGene(g))
.ToGeneList();
this.synapseGenes = other.SynapseGenes
.Select(g => new SynapseGene(g))
.ToGeneList();
}
public void Mutate(Genotype genotype, MutationResults results)
{
// We require a synapse to split
if (genotype.SynapseCount == 0)
{
return;
}
// Pick a synapse at random
var synapseIndex = Random.Range(0, genotype.SynapseCount);
var synapseGene = genotype.SynapseGenes.ElementAt(synapseIndex);
// Generate an innovation id for the operation
var innovationId = innovations.GetNeuronInnovationId(
synapseGene.fromNeuronId,
synapseGene.toNeuronId,
synapseGene.InnovationId
);
// If the genotype already contains the innovation id, bail
if (genotype.Contains(innovationId))
{
return;
}
var neuronGene = NeuronGene.Random(innovationId);
var neuronGenes = new GeneList <NeuronGene>(genotype.NeuronGenes);
neuronGenes.Add(neuronGene);
genotype.NeuronGenes = neuronGenes;
var synapseGenes = new GeneList <SynapseGene>(genotype.SynapseGenes);
var synapseGene1 = new SynapseGene(innovationId + 0,
synapseGene.fromNeuronId,
neuronGene.InnovationId,
true, 0.5f);
synapseGenes.Add(synapseGene1);
var synapseGene2 = new SynapseGene(innovationId + 1,
neuronGene.InnovationId,
synapseGene.toNeuronId,
true, 0.5f);
synapseGenes.Add(synapseGene2);
genotype.SynapseGenes = synapseGenes;
results.addedNeurons += 1;
results.addedSynapses += 2;
}
public void Mutate(Genotype genotype, MutationResults results)
{
var neuronIndexA = Random.Range(0, genotype.NeuronCount);
var neuronGeneA = genotype.NeuronGenes.ElementAt(neuronIndexA);
var candidates = new List <NeuronGene>(genotype.NeuronGenes);
candidates.Shuffle();
NeuronGene neuronGeneB = default(NeuronGene);
bool foundNeuron = false;
for (var i = 0; i < candidates.Count; i++)
{
neuronGeneB = candidates[i];
var exists = genotype.SynapseGenes.Any(s =>
neuronGeneA.InnovationId == s.fromNeuronId &&
neuronGeneB.InnovationId == s.toNeuronId);
if (!exists)
{
foundNeuron = true;
break;
}
}
if (foundNeuron)
{
var synapseInnovationId = innovations.GetSynapseInnovationId(neuronGeneA.InnovationId, neuronGeneB.InnovationId);
var synapseGene = new SynapseGene(synapseInnovationId, neuronGeneA.InnovationId, neuronGeneB.InnovationId, true);
var synapseGenes = new GeneList <SynapseGene>(genotype.SynapseGenes);
synapseGenes.Add(synapseGene);
genotype.SynapseGenes = synapseGenes;
results.addedSynapses += 1;
}
}
public void Mutate(Genotype genotype, MutationResults results)
{
var neuronIndexA = Random.Range(0, genotype.InputNeurons.Count);
var neuronGeneA = genotype.InputNeurons[neuronIndexA];
var validNeurons = genotype.OutputNeurons
.Where(_ => Random.value < p)
.Where(neuronGeneB => genotype.SynapseGenes.None(s =>
neuronGeneA.InnovationId == s.fromNeuronId &&
neuronGeneB.InnovationId == s.toNeuronId));
foreach (var neuronGeneB in validNeurons)
{
var synapseInnovationId = innovations.GetSynapseInnovationId(neuronGeneA.InnovationId, neuronGeneB.InnovationId);
var synapseGene = SynapseGene.Random(synapseInnovationId, neuronGeneA.InnovationId, neuronGeneB.InnovationId, true);
var synapseGenes = new GeneList <SynapseGene>(genotype.SynapseGenes);
synapseGenes.Add(synapseGene);
genotype.SynapseGenes = synapseGenes;
results.addedSynapses += 1;
}
}
public GeneEnumerable(GeneList <T> genesA, GeneList <T> genesB)
{
this.genesA = genesA;
this.genesB = genesB;
}
public Genotype(GeneList <NeuronGene> neuronGenes, GeneList <SynapseGene> synapseGenes)
{
this.neuronGenes = neuronGenes;
this.synapseGenes = synapseGenes;
}
public GeneList(GeneList <TGene> other)
{
genes = new SortedList <int, TGene>(other.ToDictionary(g => g.InnovationId));
}
