public bool TryGetFitness(IGenotype <int, int> genotype, out float fitness)
{
var _fitnessIsCalculated = calculatedFitnesses.TryGetValue(genotype.ToString(), out fitness);
if (!_fitnessIsCalculated)
{
for (int y = 0; y < genotype.GetGenotypeSize(); y++)
{
for (int x = y + 1; x < genotype.GetGenotypeSize(); x++)
{
fitness += distance[x, y] *
(flow[genotype.GetGene(y).GetValue(), genotype.GetGene(x).GetValue()] +
flow[genotype.GetGene(x).GetValue(), genotype.GetGene(y).GetValue()]);
}
}
}
return(_fitnessIsCalculated);
}
public IIndividual <int, int> Crossover(IIndividual <int, int> parent)
{
int _crossoverPoint = cache.GetRandomNext() % parent.GetGenotypeSize();
var _childGenotype = new List <IGene <int, int> >();
for (int i = 0; i < GetGenotypeSize(); i++)
{
if (i < _crossoverPoint)
{
_childGenotype.Add(new Gene <int, int>
(genotype.GetGene(i).GetKey(),
genotype.GetGene(i).GetValue()));
}
else
{
_childGenotype.Add(new Gene <int, int>
(parent.GetGenotype().GetGene(i).GetKey(),
parent.GetGenotype().GetGene(i).GetValue()));
}
}
return(new Individual(new Genotype(_childGenotype, 0, cache), cache));
}