private int AverageDnaLength(Individual[] generation)
{
int result = 0;
int n = popSize;
for (int i = 0; i < generation.Count(); i++)
{
result += generation[i].DNALength;
}
//mix in our elite length if opted for
if (Elite && BestDNA != null)
{
result += BestDNA.Count();
n++;
}
return(result / n);
}
private void SelectParents(List <ScoreCard> scores)
{
//sort scorecards in descending fitness score
scores.Sort((x, y) => y.Score.CompareTo(x.Score));
for (int i = 0; i < parents.Length; i++)
{
//choose parents
parents[i] = generation[scores[i].Individual];
//Mix parent into master dna pool
List <MoveDir> dna = parents[i].Dna;
for (int j = 0; j < dna.Count(); j++)
{
if (dnaPool.Count() <= j)
{
dnaPool.Add(new MasterGene());
}
dnaPool[j].Mix(dna[j], scores[i].Individual);
}
}
// mix in our elites if opted for
if (Elite && BestDNA != null)
{
dnaPool.Add(new MasterGene());
for (int i = 0; i < BestDNA.Count(); i++)
{
if (dnaPool.Count() <= i)
{
dnaPool.Add(new MasterGene());
}
dnaPool[i].Mix(BestDNA[i], BestDNAFitness);
}
}
}
private double ScoreFitness(List <ScoreCard> scores, Individual[] generation, int dnaAvgLength)
{
double result = 0.0;
int n = generation.Length;
for (int i = 0; i < generation.Length; i++)
{
double fitness = Fitness(generation[i].DNALength, dnaAvgLength);
result += fitness;
scores.Add(new ScoreCard(i, fitness));
}
//mix in our elite fitness if opted for
if (Elite && BestDNA != null)
{
BestDNAFitness = Fitness(BestDNA.Count(), dnaAvgLength);
result += BestDNAFitness;
n++;
}
return(result / n);
}
