public void Collect(GeneticAlgorithmStatus status)
{
_iterations.Add(new IterationData()
{
AverageFitness = status.CurrentPopulation.AvgFitness,
PopulationFitness = status.CurrentPopulation.Fitness,
NumberOfIteration = status.IterationNumber,
BestChromosomeValue = status.BestChromosome.Value,
SelectionOverhead = status.SelectionOverhead,
CrossoverOverhead = status.CrossoverOverhead,
MutationOverhead = status.MutationOverhead,
RepairOverhead = status.RepairOverhead,
TransformOverhead = status.TransformOverhead,
EvaluationOverhead = status.EvaluationOverhead,
IterationTimeInMillis = status.IterationTimeInMillis
});
if (status.BestChromosome.Value > _bestChromosomeValue)
{
_bestChromosomeValue = status.BestChromosome.Value;
_bestChromosome = status.BestChromosome.Clone();
}
}
private void AlgorithmStatus(GeneticAlgorithmStatus status)
{
Console.CursorTop = 0;
Console.CursorLeft = 0;
Console.WriteLine("Iteration: {0}", status.IterationNumber);
Console.WriteLine("Crossover overhead: {0:0.000}", status.CrossoverOverhead);
Console.WriteLine("Evaluation overhead: {0:0.000}", status.EvaluationOverhead);
Console.WriteLine("Mutation overhead: {0:0.000}", status.MutationOverhead);
Console.WriteLine("Repair overhead: {0:0.000}", status.RepairOverhead);
Console.WriteLine("Population fitness: {0:0.000}", status.CurrentPopulation.Fitness);
Console.WriteLine("Population avg fitness: {0:0.000}", status.CurrentPopulation.AvgFitness);
Console.WriteLine("Best population chromosome value: {0:0.000}", status.CurrentPopulation.BestChromosome.Value);
Console.WriteLine("Best algorithm chromosome value: {0:0.000}", status.BestChromosome.Value);
}
/// <summary>
/// Applies final solution to building view model.
/// </summary>
private void OnGeneticCompleted(GeneticAlgorithmStatus status)
{
CurrentBuilding.SetFenotype(((BinaryChromosome)status.BestChromosome).Genotype.ToFenotype());
CurrentBuilding.DrawSolution();
}
private void CollectAlgorithmStatus(GeneticAlgorithmStatus status)
{
_statistics.Collect(status);
}
private void OnReportStatus(GeneticAlgorithmStatus status)
{
var pointHelper = new PointHelper(status.IterationNumber);
AvgFitness.Add(pointHelper.Create(status.CurrentPopulation.AvgFitness));
BestChromosome.Add(pointHelper.Create(status.BestChromosome.Value));
Selection.Add(pointHelper.Create(status.SelectionOverhead));
Crossover.Add(pointHelper.Create(status.CrossoverOverhead));
Mutation.Add(pointHelper.Create(status.MutationOverhead));
Repair.Add(pointHelper.Create(status.RepairOverhead));
Transform.Add(pointHelper.Create(status.TransformOverhead));
Evaluation.Add(pointHelper.Create(status.EvaluationOverhead));
SelectionOverhead = status.SelectionOverhead;
CrossoverOverhead = status.CrossoverOverhead;
MutationOverhead = status.MutationOverhead;
RepairOverhead = status.RepairOverhead;
TransformOverhead = status.TransformOverhead;
EvaluationOverhead = status.EvaluationOverhead;
MaxIterations = status.MaxIterations;
CurrentIteration = status.IterationNumber;
PercentCompleted = (CurrentIteration * 100) / MaxIterations;
BestChromosomeValue = status.BestChromosome.Value;
ProgressInfo = String.Format("Iteration {0} of {1}", CurrentIteration, MaxIterations);
OnPropertyChanged("StatisticsChanged");
}