/// <summary>
/// Finishes Generation, by ordering Genomes by Fitness descending and
/// setting the BestGenome Property.
/// </summary>
public void FinishGeneration()
{
Genomes = Genomes
.OrderByDescending(c => c.Fitness.Value)
.ToList();
// TODO: Write AnalyseData
BestGenome = Genomes.First();
}
/// <summary>
/// Ends the generation.
/// </summary>
/// <param name="genomesNumber">Genomes number to keep on generation.</param>
public void End(int genomesNumber)
{
Genomes = Genomes
.Where(ValidateChromosome)
.OrderByDescending(c => c.Fitness.Value)
.ToList();
if (Genomes.Count > genomesNumber)
{
Genomes = Genomes.Take(genomesNumber).ToList();
}
BestGenome = Genomes.First();
}
private void CreateStartPopulation(int genomes, Action <TGenome> genomeCreationMethod)
{
//clear existing population
Genomes.Clear();
for (int i = 0; i < genomes; i++)
{
var genome = new TGenome();
genomeCreationMethod(genome);
Genomes.Add(genome);
}
//reset all variables
Generation = 0;
TotalFitnessScore = 0;
GeneLength = -1;
ChromosoneLength = Genomes.First().Genes.Sum(g => g.Length);
}
protected virtual void CalculateRemarkableValues()
{
// Because Genomes are sorted :
// First = worst
// Last = best
WorstFitness = Math.Min(Genomes.First().Fitness, WorstFitness);
TotalFitness = Genomes.Sum(g => g.Fitness);
double bestGenomeFitness = Genomes.Last().Fitness;
if (bestGenomeFitness > BestFitness)
{
BestFitnessGenome = Genomes.Last();
BestFitness = bestGenomeFitness;
if (bestGenomeFitness > BestFitnessEver)
{
BestFitnessGenomeEver = BestFitnessGenome;
BestFitnessEver = bestGenomeFitness;
}
}
}