public GenerationResult(int generationNumber, ScoredGeneration <T, TScore> orderedGenomes)
{
GenerationNumber = generationNumber;
OrderedGenomes = orderedGenomes.OrderedFitnessResults.ToArray();
FittestGenome = OrderedGenomes.First();
AverageGenomeGeneration = OrderedGenomes.Average(g => g.GenomeInfo.Generation);
}
public IGenerationResult <T, TScore> Evolve(int iterations, IEnumerable <T> originalGeneration = null)
{
GenerationResult <T, TScore> generationResult = null;
var originalGenomes = originalGeneration ?? _genomeFactory.GetNewGenomes(_solverParameters.InitialGenerationSize);
var scoredGeneration = new ScoredGeneration <T, TScore>(originalGenomes.Select(g => new GenomeInfo <T>(g, 0)), _evaluator);
for (int generationNum = 0; generationNum < iterations; generationNum++)
{
_logger.LogStartGeneration(generationNum);
IEnumerable <IGenomeInfo <T> > elite = scoredGeneration.OrderedGenomes.Take(_solverParameters.MaxEliteSize);
var num = generationNum;
var children = _genomeReproductionStrategies
.SelectMany(reproductionStrategy =>
reproductionStrategy.ProduceOffspring(elite.Select(g => g.Genome)))
.Select(g => new GenomeInfo <T>(g, num));
var nextGenerationGenomes = elite.Concat(children).ToArray();
scoredGeneration = new ScoredGeneration <T, TScore>(nextGenerationGenomes, _evaluator);
generationResult = new GenerationResult <T, TScore>(generationNum, scoredGeneration);
OnNewGeneration(generationResult);
_logger.LogGenerationInfo(generationResult);
if (IsEarlyStopConditionHit(generationResult))
{
return(generationResult);
}
}
return(generationResult);
}
