public NeatEvolutionAlgorithm <NeatGenome> CreateEvolutionAlgorithm(BattleEvaluator <NeatGenome> evaluator, int populationSize)
{
Debug.Assert(populationSize > 5);
_eaParams.SpecieCount = populationSize / 5;
var genomeFactory = new NeatGenomeFactory(InputCount, OutputCount, _neatGenomeParams);
var genomeList = genomeFactory.CreateGenomeList(populationSize, 0);
return(CreateEvolutionAlgorithm(evaluator, genomeList));
}
private BattleExperiment CreateExperiment(int warriors)
{
var experiment = new BattleExperiment();
var battleEvaluator = new BattleEvaluator<NeatGenome>(this);
experiment._ea = experiment.CreateEvolutionAlgorithm(battleEvaluator, warriors);
Debug.Log("Experiment created");
return experiment;
}
public IEnumerator BeginDoingOneGeneration()
{
if (IsEvolutionFreezed)
{
var eval = new BattleEvaluator<NeatGenome>(this);
yield return eval.Evaluate(GenomeList);
}
else
{
yield return StartCoroutine(experiment._ea.DoOneGeneration());
}
}
public NeatEvolutionAlgorithm <NeatGenome> CreateEvolutionAlgorithm(BattleEvaluator <NeatGenome> evaluator, List <NeatGenome> list)
{
IDistanceMetric distanceMetric = new ManhattanDistanceMetric(1.0, 0.0, 10.0);
ISpeciationStrategy <NeatGenome> speciationStrategy = new KMeansClusteringStrategy <NeatGenome>(distanceMetric);
IComplexityRegulationStrategy complexityRegulationStrategy = new DefaultComplexityRegulationStrategy(ComplexityCeilingType.Absolute, _complexityThreshold);
NeatEvolutionAlgorithm <NeatGenome> neatEvolutionAlgorithm = new NeatEvolutionAlgorithm <NeatGenome>(_eaParams, speciationStrategy, complexityRegulationStrategy);
var genomeFactory = new NeatGenomeFactory(InputCount, OutputCount, _neatGenomeParams);
neatEvolutionAlgorithm.Initialize(evaluator, genomeFactory, list);
_ea = neatEvolutionAlgorithm;
return(neatEvolutionAlgorithm);
}
public void LoadPopulation(string filename)
{
var battleEvaluator = new BattleEvaluator<NeatGenome>(this);
experiment.CreateEvolutionAlgorithm(battleEvaluator, experiment.LoadPopulation(filename, AmoutOfWarriorsOwns));
}