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.Data;
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25 | using HeuristicLab.Encodings.PermutationEncoding;
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26 | using HeuristicLab.Problems.TravelingSalesman;
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27 | using HeuristicLab.Random;
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28 | using Microsoft.VisualStudio.TestTools.UnitTesting;
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29 |
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30 | namespace HeuristicLab.Problems.TravelingSalesman_33.Tests {
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31 |
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32 | /// <summary>
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33 | ///This is a test class for TSP move evaluators
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34 | ///</summary>
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35 | [TestClass()]
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36 | public class TSPMoveEvaluatorTest {
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37 | private const int ProblemSize = 10;
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38 | private static DoubleMatrix coordinates;
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39 | private static DistanceMatrix distances;
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40 | private static Permutation tour;
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41 | private static MersenneTwister random;
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42 |
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43 | private TestContext testContextInstance;
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44 | /// <summary>
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45 | ///Gets or sets the test context which provides
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46 | ///information about and functionality for the current test run.
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47 | ///</summary>
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48 | public TestContext TestContext {
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49 | get { return testContextInstance; }
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50 | set { testContextInstance = value; }
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51 | }
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52 |
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53 | [ClassInitialize]
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54 | public static void MyClassInitialize(TestContext testContext) {
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55 | random = new MersenneTwister();
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56 | coordinates = new DoubleMatrix(ProblemSize, 2);
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57 | distances = new DistanceMatrix(ProblemSize, ProblemSize);
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58 | for (int i = 0; i < ProblemSize; i++) {
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59 | coordinates[i, 0] = random.Next(ProblemSize * 10);
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60 | coordinates[i, 1] = random.Next(ProblemSize * 10);
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61 | }
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62 | for (int i = 0; i < ProblemSize - 1; i++) {
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63 | for (int j = i + 1; j < ProblemSize; j++) {
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64 | distances[i, j] = Math.Round(Math.Sqrt(Math.Pow(coordinates[i, 0] - coordinates[j, 0], 2) + Math.Pow(coordinates[i, 1] - coordinates[j, 1], 2)));
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65 | distances[j, i] = distances[i, j];
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66 | }
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67 | }
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68 | tour = new Permutation(PermutationTypes.RelativeUndirected, ProblemSize, random);
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69 | }
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70 |
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71 | [TestMethod]
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72 | public void InversionMoveEvaluatorTest() {
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73 | var evaluator = new TSPRoundedEuclideanPathEvaluator();
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74 | var moveEvaluator = new TSPInversionMoveRoundedEuclideanPathEvaluator();
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75 | double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
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76 | double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
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77 | Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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78 |
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79 | for (int i = 0; i < 500; i++) {
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80 | var move = StochasticInversionSingleMoveGenerator.Apply(tour, random);
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81 |
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82 | double moveMatrix = TSPInversionMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
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83 | double moveCoordinates = TSPInversionMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
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84 | Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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85 |
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86 | string failureString = string.Format(@"Inversion move is calculated with quality {0}, but actual difference is {4}.
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87 | The move would invert the tour {1} between values {2} and {3}.", moveMatrix.ToString(), tour.ToString(), tour[move.Index1].ToString(), tour[move.Index2].ToString(), "{0}");
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88 |
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89 | InversionManipulator.Apply(tour, move.Index1, move.Index2);
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90 |
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91 | double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
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92 | double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
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93 | Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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94 |
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95 | Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));
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96 |
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97 | beforeMatrix = afterMatrix;
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98 | beforeCoordinates = afterCoordinates;
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99 | }
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100 | }
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101 |
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102 | [TestMethod]
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103 | public void TranslocationMoveEvaluatorTest() {
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104 | var evaluator = new TSPRoundedEuclideanPathEvaluator();
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105 | var moveEvaluator = new TSPTranslocationMoveRoundedEuclideanPathEvaluator();
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106 | double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
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107 | double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
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108 | Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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109 |
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110 | for (int i = 0; i < 500; i++) {
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111 | var move = StochasticTranslocationSingleMoveGenerator.Apply(tour, random);
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112 |
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113 | double moveMatrix = TSPTranslocationMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
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114 | double moveCoordinates = TSPTranslocationMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
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115 | Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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116 |
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117 | string failureString = string.Format(@"Translocation move is calculated with quality {0}, but actual difference is {5}.
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118 | The move would move the segment between {1} and {2} in the tour {3} to the new index {4}.", moveMatrix.ToString(), tour[move.Index1].ToString(), tour[move.Index2].ToString(), tour.ToString(), move.Index3.ToString(), "{0}");
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119 | TranslocationManipulator.Apply(tour, move.Index1, move.Index2, move.Index3);
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120 |
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121 | double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
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122 | double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
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123 | Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
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124 |
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125 | Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));
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126 |
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127 | beforeMatrix = afterMatrix;
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128 | beforeCoordinates = afterCoordinates;
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129 | }
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130 | }
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131 |
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132 | }
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133 | }
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