// TODO: Creation of an IGenomeListEvaluator needs to be the responsibility of INeatExperimentFactory (or the evaluation scheme),
// to allow for tasks that require the entire population to be evaluated as a whole, e.g. simulated life/worlds.
// Furthermore, a new interface IPhenomeListEvaluator will be needed to allow the code for those types of task to be abstracted away from the type of genome in use.
private static IGenomeListEvaluator <NeatGenome <double> > CreateGenomeListEvaluator(
INeatExperiment <double> neatExperiment)
{
// Create a genome decoder based on experiment config settings.
var genomeDecoder = CreateGenomeDecoder(neatExperiment);
// Resolve degreeOfParallelism (-1 is allowed in config, but must be resolved here to an actual degree).
int degreeOfParallelismResolved = ResolveDegreeOfParallelism(neatExperiment);
// Create a genomeList evaluator, and return.
var genomeListEvaluator = GenomeListEvaluatorFactory.CreateEvaluator(
genomeDecoder,
neatExperiment.EvaluationScheme,
degreeOfParallelismResolved);
return(genomeListEvaluator);
}
private IGenomeListEvaluator <NeatGenome <double> > CreateGenomeListEvaluator(
out int inputCount, out int outputCount)
{
var genomeDecoder = NeatGenomeDecoderFactory.CreateGenomeAcyclicDecoder(true);
IBlackBoxEvaluationScheme <double> blackBoxEvaluationScheme = new BinaryElevenMultiplexerEvaluationScheme();
//// Create function regression evaluation scheme.
//int sampleResolution = 20;
//double sampleMin = 0;
//double sampleMax = 6.283185;
//var paramSamplingInfo = new ParamSamplingInfo(sampleMin, sampleMax, sampleResolution);
//IBlackBoxEvaluationScheme<double> blackBoxEvaluationScheme = new FuncRegressionEvaluationScheme(FunctionFactory.GetFunction(FunctionId.Sin), paramSamplingInfo, 0.3);
var genomeListEvaluator = GenomeListEvaluatorFactory.CreateEvaluator(
genomeDecoder,
blackBoxEvaluationScheme,
createConcurrentEvaluator: true);
inputCount = blackBoxEvaluationScheme.InputCount;
outputCount = blackBoxEvaluationScheme.OutputCount;
return(genomeListEvaluator);
}
