public GA(IGAFunctions functions)
{
m_Functions = functions;
Chromosomes = new List<Chromosome>();
for (int i = 0; i < functions.PopulationSize; i++)
{
Chromosome chromosome = new Chromosome(functions.ChromosoneLength);
chromosome.Fitness = m_Functions.CalculateFitness(chromosome.Data);
Chromosomes.Add(chromosome);
}
}
private void Mutate(Chromosome c)
{
for (int i = 0; i < c.Data.Length; i++)
{
if (TossTheDice(m_Functions.MutationRate))
c.Data.Set(i, !c.Data[i]);
}
}
private void UpdateBestFit(Chromosome c)
{
if (c.Fitness > BestFit)
{
BestFit = c.Fitness;
Best = c;
if (OnBestFitChanged != null)
OnBestFitChanged(this, EventArgs.Empty);
}
}
private Chromosome CrossOver(Chromosome p1, Chromosome p2)
{
Chromosome c = new Chromosome();
c.Data = p1.Data.Clone() as BitArray;
int index = m_Rand.Next(c.Data.Length);
for (int i = 0; i < index; i++)
c.Data.Set(i, p2.Data[i]);
return c;
}
