public State <T> Step()
{
State = Killer.Kill(State);
State = CrossOver.CrossOver(State);
//State = Mutator.Mutate(State);
return(State);
}
public void Run()
{
for (int i = 0; i < Generations; i++)
{
if (BeforeRun != null)
{
BeforeRun(this, new GeneticEventArgs(i));
}
foreach (var chromosome in Population.Chromosomes)
{
chromosome.Fitness = Evaluator.ComputeFitness(chromosome.Genes);
}
Population.Chromosomes = Population.Chromosomes.OrderByDescending(x => x.Fitness).ToList();
if (BeforeKill != null)
{
BeforeKill(this, EventArgs.Empty);
}
Killer.Kill(Population);
if (AfterKill != null)
{
AfterKill(this, EventArgs.Empty);
}
var selected = Selector.Select(Population.Chromosomes);
if (BeforeCrossOver != null)
{
BeforeCrossOver(this, EventArgs.Empty);
}
foreach (var pair in selected)
{
var offspring = CrossOver.CrossOver(pair.Item1, pair.Item2);
Population.AddChromosome(offspring);
}
if (AfterCrossOver != null)
{
AfterCrossOver(this, EventArgs.Empty);
}
if (BeforeMutate != null)
{
BeforeMutate(this, EventArgs.Empty);
}
MutateStep(Population);
if (AfterMutate != null)
{
AfterMutate(this, EventArgs.Empty);
}
if (AfterRun != null)
{
AfterRun(this, new GeneticEventArgs(i));
}
if (Solution.IsSolution(Population.Best))
{
if (OnSolution != null)
{
OnSolution(this, EventArgs.Empty);
}
return;
}
}
}