private void OnUpdate()
{
// CALC FITNESS
for (int i = 0; i < Generations.Length; i++)
{
for (int j = 0; j < Generations[i].IterationLength - 1; j++)
{
string initials = Generations[i].GetSegmentValue(j);
string initials1 = Generations[i].GetSegmentValue(j + 1);
PointF a = Cities[initials];
PointF b = Cities[initials1];
Generations[i].Fitness += Math.Sqrt(Math.Pow(a.X - b.X, 2) + Math.Pow(a.Y - b.Y, 2));
}
}
Generations = Generations.OrderBy(p => p.Fitness).ToArray();
BestCreature = Generations[0];
SecondBestCreature = Generations[1];
for (int i = 0; i < Generations.Length; i++)
{
DNA <String> child = DNA <string> .Combine(BestCreature, SecondBestCreature, DNA <string> .CrossoverStrategy.SimplePlusWhatIsLeft, 2);
double rate = (1.0 / Math.Pow(Generations[Generations.Length - 1].Fitness, 2)) * Math.Pow(BestCreature.Fitness, 2);
rate *= 0.0045;
child.Mutate(rate, 10, DNA <string> .MutationStrategy.SegmentSwap, 2);
Generations[i] = new DNA <string>(new LinearConverter())
{
FullSequence = child.FullSequence,
FullLength = BestCreature.FullLength,
SegmentLength = BestCreature.SegmentLength,
IterationLength = BestCreature.IterationLength,
};
}
}