public DNA <T> Crossover(DNA <T> otherParent)
{
DNA <T> child = new DNA <T>(Genes.Length, getRandomGene, fitnessFunction, shouldInitGenes: false);
for (int i = 0; i < Genes.Length; i++)
{
child.Genes[i] = betterRandom.NextDouble() < 0.5 ? Genes[i] : otherParent.Genes[i];
}
return(child);
}
public static double RandomNext()
{
double one = BetterRandom.NextDouble();
double two = BetterRandom.NextDouble();
return(Math.Sqrt(-2.0 * Math.Log(one)) * Math.Cos(6.2831853071795862 * two));
}
private DNA <T> ChooseParent()
{
double randomNumber = betterRandom.NextDouble() * fitnessSum;
for (int i = 0; i < Population.Count; i++)
{
if (randomNumber < Population[i].Fitness)
{
return(Population[i]);
}
randomNumber -= Population[i].Fitness;
}
return(null);
}