[7558] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Encodings.PermutationEncoding;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.TravelingSalesman {
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| 31 | /// <summary>
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| 32 | /// A base class for operators which evaluate TSP solutions given in path representation using a distance matrix.
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| 33 | /// </summary>
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| 34 | [Item("TSPDistanceMatrixEvaluator", "Evaluate TSP solutions given in path representation using the distance matrix.")]
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| 35 | [StorableClass]
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| 36 | public sealed class TSPDistanceMatrixEvaluator : TSPEvaluator, ITSPDistanceMatrixEvaluator {
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| 37 |
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| 38 | public ILookupParameter<Permutation> PermutationParameter {
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| 39 | get { return (ILookupParameter<Permutation>)Parameters["Permutation"]; }
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| 40 | }
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| 41 | public ILookupParameter<DistanceMatrix> DistanceMatrixParameter {
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| 42 | get { return (ILookupParameter<DistanceMatrix>)Parameters["DistanceMatrix"]; }
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| 43 | }
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| 44 |
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| 45 | [StorableConstructor]
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| 46 | private TSPDistanceMatrixEvaluator(bool deserializing) : base(deserializing) { }
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| 47 | private TSPDistanceMatrixEvaluator(TSPDistanceMatrixEvaluator original, Cloner cloner) : base(original, cloner) { }
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| 48 | public TSPDistanceMatrixEvaluator()
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| 49 | : base() {
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| 50 | Parameters.Add(new LookupParameter<Permutation>("Permutation", "The TSP solution given in path representation which should be evaluated."));
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| 51 | Parameters.Add(new LookupParameter<DistanceMatrix>("DistanceMatrix", "The matrix which contains the distances between the cities."));
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| 52 | }
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| 53 |
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| 54 | public override IDeepCloneable Clone(Cloner cloner) {
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| 55 | return new TSPDistanceMatrixEvaluator(this, cloner);
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| 56 | }
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| 57 |
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| 58 | public static double Apply(DistanceMatrix distances, Permutation tour) {
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| 59 | if (distances == null || distances.Rows == 0 || distances.Columns == 0
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| 60 | || distances.Rows != distances.Columns)
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[8221] | 61 | throw new InvalidOperationException("TSPDistanceMatrixEvaluator: The distance matrix is empty or not square");
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| 62 | if (tour == null) throw new ArgumentNullException("tour", "TSPDistanceMatrixEvaluator: No tour is given.");
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[7558] | 63 | Permutation p = tour;
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| 64 | double length = 0;
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| 65 | for (int i = 0; i < p.Length - 1; i++)
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| 66 | length += distances[p[i], p[i + 1]];
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| 67 | length += distances[p[p.Length - 1], p[0]];
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| 68 | return length;
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| 69 | }
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| 70 |
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| 71 | public override IOperation Apply() {
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| 72 | Permutation p = PermutationParameter.ActualValue;
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| 73 | DistanceMatrix dm = DistanceMatrixParameter.ActualValue;
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| 74 |
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| 75 | QualityParameter.ActualValue = new DoubleValue(Apply(dm, p));
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| 76 | return base.Apply();
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| 77 | }
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| 78 | }
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| 79 | }
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