private static float[][] SampleBestFitter(ParetoFrontPoint best, int sampleCount)
{
var sensorCount = best.Genome.Network.Sensors.Count;
var effectorCount = best.Genome.Network.Effectors.Count;
var sampleLen = sensorCount + effectorCount;
var samples = new float[sampleCount][];
for (var i = 0; i < sampleCount; i++)
{
samples[i] = new float[sampleLen];
var network = best.Genome.Network;
for (var s = 0; s < sensorCount; ++s)
{
network.Sensors[s] = RandomSource.Range(-1, 1);
samples[i][s] = network.Sensors[s];
}
network.Activate();
for (var e = 0; e < effectorCount; ++e)
{
samples[i][sensorCount + e] = network.Effectors[e];
}
}
return(samples);
}
public static IReadOnlyList <float> EvaluateWinner(ParetoFrontPoint winner, bool isRecurrent)
{
Debug.Assert(winner != null, nameof(winner) + " != null");
var result = new List <float>(XorTruthTable.Length);
foreach (var t in XorTruthTable)
{
result.Add(ActivateAndGetEffector(winner.Genome, isRecurrent, t[0], t[1]));
}
return(result);
}
private static void SetParetoRank(ParetoFrontPoint point, ICollection <ParetoFrontPoint> ranks)
{
var maxNonDominantFrontNumber = 0;
foreach (var r in ranks)
{
if (point.IsDominatedBy(r) && maxNonDominantFrontNumber < r.Rank)
{
maxNonDominantFrontNumber = r.Rank;
}
}
point.Rank = maxNonDominantFrontNumber + 1;
ranks.Add(point);
}