protected override double[] GetProbabilities(IDataDescriptor descriptor, PTSPData instance)
{
var ptspDesc = descriptor as TSPLIBHomogeneousPTSPDataDescriptor;
return(ptspDesc != null?Enumerable.Range(0, instance.Dimension).Select(_ => ptspDesc.Probability).ToArray()
: Enumerable.Range(0, instance.Dimension).Select(_ => 0.5).ToArray());
}
public override void Load(PTSPData data)
{
base.Load(data);
UpdateRealizations();
foreach (var op in Operators.OfType <IEstimatedPTSPOperator>())
{
op.RealizationsParameter.ActualName = RealizationsParameter.Name;
}
}
protected override double[] GetProbabilities(IDataDescriptor descriptor, PTSPData instance) {
var random = new MarsagliaRandom(GetInstanceHash(instance.Name));
return Enumerable.Range(0, instance.Dimension).Select(_ => (int)Math.Round((0.1 + 0.9 * random.NextDouble()) * 100) / 100.0).ToArray();
}
public virtual void Load(PTSPData data)
{
try {
SuppressEvents = true;
if (data.Coordinates == null && data.Distances == null)
{
throw new System.IO.InvalidDataException("The given instance specifies neither coordinates nor distances!");
}
if (data.Dimension > DistanceMatrixSizeLimit && (data.Coordinates == null || data.Coordinates.GetLength(0) != data.Dimension || data.Coordinates.GetLength(1) != 2))
{
throw new System.IO.InvalidDataException("The given instance is too large for using a distance matrix and there is a problem with the coordinates.");
}
if (data.Coordinates != null && (data.Coordinates.GetLength(0) != data.Dimension || data.Coordinates.GetLength(1) != 2))
{
throw new System.IO.InvalidDataException("The coordinates of the given instance are not in the right format, there need to be one row for each customer and two columns for the x and y coordinates respectively.");
}
switch (data.DistanceMeasure)
{
case DistanceMeasure.Direct:
DistanceCalculator = null;
if (data.Dimension > DistanceMatrixSizeLimit && Coordinates != null)
{
DistanceCalculator = new EuclideanDistance();
UseDistanceMatrix = false;
}
else
{
UseDistanceMatrix = true;
}
break;
case DistanceMeasure.Att: DistanceCalculator = new AttDistance(); break;
case DistanceMeasure.Euclidean: DistanceCalculator = new EuclideanDistance(); break;
case DistanceMeasure.Geo: DistanceCalculator = new GeoDistance(); break;
case DistanceMeasure.Manhattan: DistanceCalculator = new ManhattanDistance(); break;
case DistanceMeasure.Maximum: DistanceCalculator = new MaximumDistance(); break;
case DistanceMeasure.RoundedEuclidean: DistanceCalculator = new RoundedEuclideanDistance(); break;
case DistanceMeasure.UpperEuclidean: DistanceCalculator = new UpperEuclideanDistance(); break;
default: throw new ArgumentException("Distance measure is unknown");
}
Name = data.Name;
Description = data.Description;
Probabilities = new DoubleArray(data.Probabilities);
BestKnownSolution = data.BestKnownTour != null ? new Permutation(PermutationTypes.RelativeUndirected, data.BestKnownTour) : null;
Coordinates = data.Coordinates != null && data.Coordinates.GetLength(0) > 0 ? new DoubleMatrix(data.Coordinates) : null;
DistanceMatrix = data.Dimension <= DistanceMatrixSizeLimit && UseDistanceMatrix ? new DistanceMatrix(data.GetDistanceMatrix()) : null;
Encoding.Length = data.Dimension;
} finally { SuppressEvents = false; }
OnReset();
}
protected override double[] GetProbabilities(IDataDescriptor descriptor, PTSPData instance)
{
var random = new MarsagliaRandom(GetInstanceHash(instance.Name));
return(Enumerable.Range(0, instance.Dimension).Select(_ => (int)Math.Round((0.1 + 0.9 * random.NextDouble()) * 100) / 100.0).ToArray());
}
protected override double[] GetProbabilities(IDataDescriptor descriptor, PTSPData instance) {
var ptspDesc = descriptor as TSPLIBHomogeneousPTSPDataDescriptor;
return ptspDesc != null ? Enumerable.Range(0, instance.Dimension).Select(_ => ptspDesc.Probability).ToArray()
: Enumerable.Range(0, instance.Dimension).Select(_ => 0.5).ToArray();
}
