#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 given in path representation using a distance matrix.
///
[Item("TSPDistanceMatrixEvaluator", "Evaluate TSP solutions given in path representation using the distance matrix.")]
[StorableType("94453741-C017-435E-A447-F8262D59E6BF")]
public sealed class TSPDistanceMatrixEvaluator : TSPEvaluator, ITSPDistanceMatrixEvaluator {
public ILookupParameter PermutationParameter {
get { return (ILookupParameter)Parameters["Permutation"]; }
}
public ILookupParameter DistanceMatrixParameter {
get { return (ILookupParameter)Parameters["DistanceMatrix"]; }
}
[StorableConstructor]
private TSPDistanceMatrixEvaluator(bool deserializing) : base(deserializing) { }
private TSPDistanceMatrixEvaluator(TSPDistanceMatrixEvaluator original, Cloner cloner) : base(original, cloner) { }
public TSPDistanceMatrixEvaluator()
: base() {
Parameters.Add(new LookupParameter("Permutation", "The TSP solution given in path representation which should be evaluated."));
Parameters.Add(new LookupParameter("DistanceMatrix", "The matrix which contains the distances between the cities."));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new TSPDistanceMatrixEvaluator(this, cloner);
}
public static double Apply(DistanceMatrix distances, Permutation tour) {
if (distances == null || distances.Rows == 0 || distances.Columns == 0
|| distances.Rows != distances.Columns)
throw new InvalidOperationException("TSPDistanceMatrixEvaluator: The distance matrix is empty or not square");
if (tour == null) throw new ArgumentNullException("tour", "TSPDistanceMatrixEvaluator: No tour is given.");
Permutation p = tour;
double length = 0;
for (int i = 0; i < p.Length - 1; i++)
length += distances[p[i], p[i + 1]];
length += distances[p[p.Length - 1], p[0]];
return length;
}
public override IOperation InstrumentedApply() {
Permutation p = PermutationParameter.ActualValue;
DistanceMatrix dm = DistanceMatrixParameter.ActualValue;
QualityParameter.ActualValue = new DoubleValue(Apply(dm, p));
return base.InstrumentedApply();
}
}
}