public void Init()
{
var innovations = new InnovationCollection();
var neuronGenes = Enumerable.Range(0, 3).Select(i => {
var inId = innovations.GetInitialNeuronInnovationId(i);
return(new NeuronGene(inId, NeuronType.HiddenNeuron));
}).ToGeneList();
var synapseGenes = Enumerable.Range(0, 3).Select(i => {
var inId = innovations.GetSynapseInnovationId(i, i + 1);
return(new SynapseGene(inId, i, i + 1, true));
}).ToGeneList();
var protoGenotype = new Genotype(neuronGenes, synapseGenes);
var phenotypes = Enumerable.Range(0, 100).Select(_ => {
var gt = Genotype.FromPrototype(protoGenotype);
var pt = new Phenotype(gt);
return(pt);
}).ToArray();
var distanceMetric = new NEAT.DistanceMetric(0.0f, 0.0f, 35.0f);
var speciation = new NEAT.Speciation(10, 50.0f, 0.2f, distanceMetric);
species = speciation.Speciate(new NEAT.Specie[0], phenotypes);
}
public void TestMutationCollection()
{
var genotypes = Enumerable.Range(0, 100).Select(_ =>
Genotype.FromPrototype(protoGenotype)).ToArray();
var mutations = new NEAT.MutationCollection();
mutations.Add(0.75f, new NEAT.AddNeuronMutator(innovations));
mutations.Add(0.25f, new NEAT.AddSynapseMutator(innovations));
var results = mutations.Mutate(genotypes);
Assert.AreEqual(75, results.addedNeurons, 75 * 0.15f);
Assert.AreEqual(175, results.addedSynapses, 175 * 0.25f);
}
public void TestSpecie()
{
var specie = new Specie(13, protoGenotype, 0, 0, 0.0f);
for (int i = 0; i < 100; i++)
{
var gt = Genotype.FromPrototype(protoGenotype);
var pt = new Phenotype(gt);
specie.Add(pt);
}
foreach (var pt in specie)
{
pt.AdjustedFitness = 1.0f / (float)specie.Count;
}
Assert.AreEqual(0.0f, specie.MeanFitness, 0.001f);
Assert.AreEqual(0.01f, specie.MeanAdjustedFitness, 0.001f);
Assert.AreEqual(100, specie.Count);
}
public void Init()
{
var innovations = new InnovationCollection();
var neuronGenes = Enumerable.Range(0, 3).Select(i => {
var inId = innovations.GetInitialNeuronInnovationId(i);
return(new NeuronGene(inId, NeuronType.HiddenNeuron));
}).ToGeneList();
var synapseGenes = Enumerable.Range(0, 3).Select(i => {
var inId = innovations.GetSynapseInnovationId(i, i + 1);
return(new SynapseGene(inId, i, i + 1, true));
}).ToGeneList();
var protoGenotype = new Genotype(neuronGenes, synapseGenes);
phenotypes = Enumerable.Range(0, 100).Select(_ => {
var gt = Genotype.FromPrototype(protoGenotype);
var pt = new Phenotype(gt);
return(pt);
}).ToArray();
}