protected void RUN <TElement>(IFitnessFunction fitnessFunction, Action <TElement, IFitnessFunction> renderRoute) where TElement : class, IElement
{
_run = true;
Population <TElement> population = Population <TElement> .GetRandomElementsPopulation(Configuration.PopulationSize, fitnessFunction.ElementSize);
fitnessFunction.SetFitness(population);
TElement currentBest = (TElement)population.Best.Copy();
var initElement = ElementFactory.CreateElement <TElement>(Enumerable.Range(0, fitnessFunction.ElementSize).ToList());
renderRoute(initElement as TElement, fitnessFunction);
while (_run)
{
Configuration.CrossoverAlgorithm.Crossover(population, Configuration.CrossoverChance);
var mutationChance = Configuration.MutationChance;
if (Configuration.MutationBasedOnDiversity)
{
var diversity = population.Diversity;
mutationChance = 1 - diversity - Configuration.MutationChance;
}
foreach (var item in population.Elements)
{
if (Random.RandomPercent() < mutationChance)
{
Configuration.MutationAlgorithm.Mutate(item);
}
}
fitnessFunction.SetFitness(population);
population = Configuration.SelectionAlgorithm.Select(population, Configuration.PopulationSize);
if (Configuration.Elitism)
{
int elitism = (int)(Configuration.ElitismFactor * population.Size);
for (int j = 0; j < elitism; j++)
{
population.Add(population.Best.Copy());
}
}
if (population.Best.Value < currentBest.Value)
{
currentBest = (TElement)population.Best.Copy();
renderRoute(currentBest, fitnessFunction);
}
}
}
