private void CalculateFitness()
{
_fitnessSum = 0;
Dna <T> best = Population[0];
Population.ForEach(p =>
{
_fitnessSum += p.CalculateFitness(Population.IndexOf(p));
best = best.Fitness < p.Fitness ? p : best;
});
BestFitness = best.Fitness;
best.Genes.CopyTo(BestGenes, 0);
}
public Chromosome <GeneType> GetBestChromosome()
{
if (Population == null || Population.Count == 0)
{
throw new Exception("The genetic algorithm hass not been executed");
}
Chromosome <GeneType> ValueReturn = null;
double Evaluation = double.MinValue;
Population.ForEach(x =>
{
x.Individuals.ForEach(y => {
if (y.Fitness > Evaluation)
{
Evaluation = y.Fitness;
ValueReturn = y;
}
});
});
return(ValueReturn);
}