/// <summary>
///
/// </summary>
/// <param name="indiv"></param>
private static void Mutate(Individual indiv)
{
Random rndgen = new Random();
for (int i = 0; i < indiv.Size(); i++)
{
if (rndgen.NextDouble() <= mutationRate)
{
byte gene = (byte)Math.Round((float)rndgen.NextDouble());
indiv.SetGene(i, gene);
}
}
}
/// <summary>
///
/// </summary>
/// <param name="individual"></param>
/// <returns></returns>
public static int GetFitness(Individual individual)
{
int fitness = 0;
for (int i = 0; i < individual.Size() && i < solution.Length; i++)
{
if (individual.GetGene(i) == solution[i])
{
fitness++;
}
}
return(fitness);
}
/// <summary>
///
/// </summary>
/// <param name="indiv1"></param>
/// <param name="indiv2"></param>
/// <returns></returns>
private static Individual Crossover(Individual indiv1, Individual indiv2)
{
Individual newSolution = new Individual();
Random rndgen = new Random();
for (int i = 0; i < indiv1.Size(); i++)
{
if (rndgen.NextDouble() <= uniformRate)
{
newSolution.SetGene(i, indiv1.GetGene(i));
}
else
{
newSolution.SetGene(i, indiv2.GetGene(i));
}
}
return(newSolution);
}