#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
*
* This file is part of HeuristicLab.
*
* HeuristicLab is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* HeuristicLab is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with HeuristicLab. If not, see .
*/
#endregion
using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.TravelingSalesman {
///
/// A base class for operators which evaluate TSP solutions.
///
[Item("TSPMoveEvaluator", "A base class for operators which evaluate TSP moves.")]
[StorableClass]
public abstract class TSPPathMoveEvaluator : TSPMoveEvaluator, ITSPPathMoveEvaluator {
public ILookupParameter PermutationParameter {
get { return (ILookupParameter)Parameters["Permutation"]; }
}
public ILookupParameter CoordinatesParameter {
get { return (ILookupParameter)Parameters["Coordinates"]; }
}
public ILookupParameter DistanceMatrixParameter {
get { return (ILookupParameter)Parameters["DistanceMatrix"]; }
}
public ILookupParameter UseDistanceMatrixParameter {
get { return (ILookupParameter)Parameters["UseDistanceMatrix"]; }
}
[StorableConstructor]
protected TSPPathMoveEvaluator(bool deserializing) : base(deserializing) { }
protected TSPPathMoveEvaluator(TSPPathMoveEvaluator original, Cloner cloner) : base(original, cloner) { }
protected TSPPathMoveEvaluator()
: base() {
Parameters.Add(new LookupParameter("Permutation", "The solution as permutation."));
Parameters.Add(new LookupParameter("Coordinates", "The city's coordinates."));
Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities."));
Parameters.Add(new LookupParameter("UseDistanceMatrix", "True if a distance matrix should be calculated (if it does not exist already) and used for evaluation, otherwise false."));
}
[StorableHook(HookType.AfterDeserialization)]
private void AfterDeserialization() {
// BackwardsCompatibility3.3
#region Backwards compatible code (remove with 3.4)
LookupParameter oldDistanceMatrixParameter = Parameters["DistanceMatrix"] as LookupParameter;
if (oldDistanceMatrixParameter != null) {
Parameters.Remove(oldDistanceMatrixParameter);
Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities."));
DistanceMatrixParameter.ActualName = oldDistanceMatrixParameter.ActualName;
}
#endregion
}
public override IOperation Apply() {
Permutation permutation = PermutationParameter.ActualValue;
DoubleMatrix coordinates = CoordinatesParameter.ActualValue;
double relativeQualityDifference = 0;
if (UseDistanceMatrixParameter.ActualValue.Value) {
DistanceMatrix distanceMatrix = DistanceMatrixParameter.ActualValue;
if (distanceMatrix == null) {
if (coordinates == null) throw new InvalidOperationException("Neither a distance matrix nor coordinates were given.");
distanceMatrix = CalculateDistanceMatrix(coordinates);
DistanceMatrixParameter.ActualValue = distanceMatrix;
}
relativeQualityDifference = EvaluateByDistanceMatrix(permutation, distanceMatrix);
} else {
if (coordinates == null) throw new InvalidOperationException("No coordinates were given.");
relativeQualityDifference = EvaluateByCoordinates(permutation, coordinates);
}
DoubleValue moveQuality = MoveQualityParameter.ActualValue;
if (moveQuality == null) MoveQualityParameter.ActualValue = new DoubleValue(QualityParameter.ActualValue.Value + relativeQualityDifference);
else moveQuality.Value = QualityParameter.ActualValue.Value + relativeQualityDifference;
return base.Apply();
}
protected abstract double CalculateDistance(double x1, double y1, double x2, double y2);
protected abstract double EvaluateByDistanceMatrix(Permutation permutation, DistanceMatrix distanceMatrix);
protected abstract double EvaluateByCoordinates(Permutation permutation, DoubleMatrix coordinates);
private DistanceMatrix CalculateDistanceMatrix(DoubleMatrix c) {
DistanceMatrix distanceMatrix = new DistanceMatrix(c.Rows, c.Rows);
for (int i = 0; i < distanceMatrix.Rows; i++) {
for (int j = 0; j < distanceMatrix.Columns; j++)
distanceMatrix[i, j] = CalculateDistance(c[i, 0], c[i, 1], c[j, 0], c[j, 1]);
}
return (DistanceMatrix)distanceMatrix.AsReadOnly();
}
}
}