private PathPTSPTour(PathPTSPTour original, Cloner cloner)
: base(original, cloner)
{
this.coordinates = cloner.Clone(original.coordinates);
this.probabilities = cloner.Clone(original.probabilities);
this.permutation = cloner.Clone(original.permutation);
this.quality = cloner.Clone(original.quality);
Initialize();
}
public override IOperation Apply()
{
var coordinates = CoordinatesParameter.ActualValue;
var permutations = PermutationParameter.ActualValue;
var qualities = QualityParameter.ActualValue;
var probabilities = ProbabilitiesParameter.ActualValue;
var results = ResultsParameter.ActualValue;
var max = MaximizationParameter.ActualValue.Value;
var bestKnownQuality = BestKnownQualityParameter.ActualValue;
var i = !max?qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index
: qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
if (bestKnownQuality == null ||
max && qualities[i].Value > bestKnownQuality.Value ||
!max && qualities[i].Value < bestKnownQuality.Value)
{
BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
BestKnownSolutionParameter.ActualValue = (Permutation)permutations[i].Clone();
}
var tour = BestSolutionParameter.ActualValue;
if (tour == null)
{
tour = new PathPTSPTour(coordinates, probabilities, (Permutation)permutations[i].Clone(), new DoubleValue(qualities[i].Value));
BestSolutionParameter.ActualValue = tour;
results.Add(new Result("Best PTSP Solution", tour));
}
else
{
if (max && tour.Quality.Value < qualities[i].Value ||
!max && tour.Quality.Value > qualities[i].Value)
{
tour.Coordinates = coordinates;
tour.Permutation = (Permutation)permutations[i].Clone();
tour.Quality.Value = qualities[i].Value;
}
}
return(base.Apply());
}
private PathPTSPTour(PathPTSPTour original, Cloner cloner)
: base(original, cloner) {
this.coordinates = cloner.Clone(original.coordinates);
this.probabilities = cloner.Clone(original.probabilities);
this.permutation = cloner.Clone(original.permutation);
this.quality = cloner.Clone(original.quality);
Initialize();
}
public override IOperation Apply() {
var coordinates = CoordinatesParameter.ActualValue;
var permutations = PermutationParameter.ActualValue;
var qualities = QualityParameter.ActualValue;
var probabilities = ProbabilitiesParameter.ActualValue;
var results = ResultsParameter.ActualValue;
var max = MaximizationParameter.ActualValue.Value;
var bestKnownQuality = BestKnownQualityParameter.ActualValue;
var i = !max ? qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index
: qualities.Select((x, index) => new { index, x.Value }).OrderByDescending(x => x.Value).First().index;
if (bestKnownQuality == null ||
max && qualities[i].Value > bestKnownQuality.Value ||
!max && qualities[i].Value < bestKnownQuality.Value) {
BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
BestKnownSolutionParameter.ActualValue = (Permutation)permutations[i].Clone();
}
var tour = BestSolutionParameter.ActualValue;
if (tour == null) {
tour = new PathPTSPTour(coordinates, probabilities, (Permutation)permutations[i].Clone(), new DoubleValue(qualities[i].Value));
BestSolutionParameter.ActualValue = tour;
results.Add(new Result("Best PTSP Solution", tour));
} else {
if (max && tour.Quality.Value < qualities[i].Value ||
!max && tour.Quality.Value > qualities[i].Value) {
tour.Coordinates = coordinates;
tour.Permutation = (Permutation)permutations[i].Clone();
tour.Quality.Value = qualities[i].Value;
}
}
return base.Apply();
}
