public override NeatEvolutionAlgorithm<NeatGenome> CreateEvolutionAlgorithm(IGenomeFactory<NeatGenome> genomeFactory, List<NeatGenome> genomeList)
{
// Create the evolution algorithm.
var ea = DefaultNeatEvolutionAlgorithm;
var evaluator = new RemoteBatchXorEvaluator(ea);
IGenomeDecoder<NeatGenome, FastCyclicNetwork> genomeDecoder = _decoder;
// Evaluates list of phenotypes
IGenomeListEvaluator<NeatGenome> innerEvaluator =
new BatchGenomeListEvaluator<NeatGenome, FastCyclicNetwork>(
genomeDecoder,
evaluator);
// Weeds down the list to be evaluated
IGenomeListEvaluator<NeatGenome> selectiveEvaluator =
new SelectiveGenomeListEvaluator<NeatGenome>(
innerEvaluator,
SelectiveGenomeListEvaluator<NeatGenome>.CreatePredicate_OnceOnly());
ea.Initialize(selectiveEvaluator, genomeFactory, genomeList);
return ea;
}
public NeatEvolutionAlgorithm <NeatGenome> CreateEvolutionAlgorithm(IGenomeFactory <NeatGenome> genomeFactory, List <NeatGenome> genomeList)
{
// Create distance metric. Mismatched genes have a fixed distance of 10; for matched genes the distance is their weigth difference.
IDistanceMetric distanceMetric = new ManhattanDistanceMetric(1.0, 0.0, 10.0);
ISpeciationStrategy <NeatGenome> speciationStrategy =
new KMeansClusteringStrategy <NeatGenome>(distanceMetric);
// Create complexity regulation strategy.
IComplexityRegulationStrategy complexityRegulationStrategy =
ExperimentUtils.CreateComplexityRegulationStrategy("absolute", 10);
// Create the evolution algorithm.
var ea = new NeatEvolutionAlgorithm <NeatGenome>(
NeatEvolutionAlgorithmParameters,
speciationStrategy,
complexityRegulationStrategy);
// Create IBlackBox evaluator.
// var evaluator = new RemoteXorEvaluator();
var evaluator = new RemoteBatchXorEvaluator();
//LocalXorEvaluator evaluator = new LocalXorEvaluator();
// Create genome decoder.
IGenomeDecoder <NeatGenome, FastCyclicNetwork> genomeDecoder = _decoder;
// Create a genome list evaluator. This packages up the genome decoder with the genome evaluator.
IGenomeListEvaluator <NeatGenome> innerEvaluator = new BatchGenomeListEvaluator <NeatGenome, FastCyclicNetwork>(genomeDecoder, evaluator);
// Wrap the list evaluator in a 'selective' evaulator that will only evaluate new genomes. That is, we skip re-evaluating any genomes
// that were in the population in previous generations (elite genomes). This is determined by examining each genome's evaluation info object.
IGenomeListEvaluator <NeatGenome> selectiveEvaluator = new SelectiveGenomeListEvaluator <NeatGenome>(
innerEvaluator,
SelectiveGenomeListEvaluator <NeatGenome> .CreatePredicate_OnceOnly());
// Initialize the evolution algorithm.
ea.Initialize(selectiveEvaluator, genomeFactory, genomeList);
// Finished. Return the evolution algorithm
return(ea);
}
