1 | #region License Information
|
---|
2 | /* HeuristicLab
|
---|
3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
---|
4 | *
|
---|
5 | * This file is part of HeuristicLab.
|
---|
6 | *
|
---|
7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
---|
8 | * it under the terms of the GNU General Public License as published by
|
---|
9 | * the Free Software Foundation, either version 3 of the License, or
|
---|
10 | * (at your option) any later version.
|
---|
11 | *
|
---|
12 | * HeuristicLab is distributed in the hope that it will be useful,
|
---|
13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
---|
14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
---|
15 | * GNU General Public License for more details.
|
---|
16 | *
|
---|
17 | * You should have received a copy of the GNU General Public License
|
---|
18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
---|
19 | */
|
---|
20 | #endregion
|
---|
21 |
|
---|
22 | using System;
|
---|
23 | using HeuristicLab.Common;
|
---|
24 | using HeuristicLab.Data;
|
---|
25 | using HeuristicLab.Encodings.PermutationEncoding;
|
---|
26 | using HeuristicLab.Problems.TravelingSalesman;
|
---|
27 | using HeuristicLab.Random;
|
---|
28 | using Microsoft.VisualStudio.TestTools.UnitTesting;
|
---|
29 |
|
---|
30 | namespace HeuristicLab.Problems.TravelingSalesman_33.Tests {
|
---|
31 |
|
---|
32 | /// <summary>
|
---|
33 | ///This is a test class for TSP move evaluators
|
---|
34 | ///</summary>
|
---|
35 | [TestClass()]
|
---|
36 | public class TSPMoveEvaluatorTest {
|
---|
37 | private const int ProblemSize = 10;
|
---|
38 | private static DoubleMatrix coordinates;
|
---|
39 | private static DistanceMatrix distances;
|
---|
40 | private static Permutation tour;
|
---|
41 | private static MersenneTwister random;
|
---|
42 |
|
---|
43 | private TestContext testContextInstance;
|
---|
44 | /// <summary>
|
---|
45 | ///Gets or sets the test context which provides
|
---|
46 | ///information about and functionality for the current test run.
|
---|
47 | ///</summary>
|
---|
48 | public TestContext TestContext {
|
---|
49 | get { return testContextInstance; }
|
---|
50 | set { testContextInstance = value; }
|
---|
51 | }
|
---|
52 |
|
---|
53 | [ClassInitialize]
|
---|
54 | public static void MyClassInitialize(TestContext testContext) {
|
---|
55 | random = new MersenneTwister();
|
---|
56 | coordinates = new DoubleMatrix(ProblemSize, 2);
|
---|
57 | distances = new DistanceMatrix(ProblemSize, ProblemSize);
|
---|
58 | for (int i = 0; i < ProblemSize; i++) {
|
---|
59 | coordinates[i, 0] = random.Next(ProblemSize * 10);
|
---|
60 | coordinates[i, 1] = random.Next(ProblemSize * 10);
|
---|
61 | }
|
---|
62 | for (int i = 0; i < ProblemSize - 1; i++) {
|
---|
63 | for (int j = i + 1; j < ProblemSize; j++) {
|
---|
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)));
|
---|
65 | distances[j, i] = distances[i, j];
|
---|
66 | }
|
---|
67 | }
|
---|
68 | tour = new Permutation(PermutationTypes.RelativeUndirected, ProblemSize, random);
|
---|
69 | }
|
---|
70 |
|
---|
71 | [TestMethod]
|
---|
72 | public void InversionMoveEvaluatorTest() {
|
---|
73 | var evaluator = new TSPRoundedEuclideanPathEvaluator();
|
---|
74 | var moveEvaluator = new TSPInversionMoveRoundedEuclideanPathEvaluator();
|
---|
75 | double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
|
---|
76 | double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
|
---|
77 | Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
78 |
|
---|
79 | for (int i = 0; i < 500; i++) {
|
---|
80 | var move = StochasticInversionSingleMoveGenerator.Apply(tour, random);
|
---|
81 |
|
---|
82 | double moveMatrix = TSPInversionMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
|
---|
83 | double moveCoordinates = TSPInversionMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
|
---|
84 | Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
85 |
|
---|
86 | string failureString = string.Format(@"Inversion move is calculated with quality {0}, but actual difference is {4}.
|
---|
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}");
|
---|
88 |
|
---|
89 | InversionManipulator.Apply(tour, move.Index1, move.Index2);
|
---|
90 |
|
---|
91 | double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
|
---|
92 | double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
|
---|
93 | Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
94 |
|
---|
95 | Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));
|
---|
96 |
|
---|
97 | beforeMatrix = afterMatrix;
|
---|
98 | beforeCoordinates = afterCoordinates;
|
---|
99 | }
|
---|
100 | }
|
---|
101 |
|
---|
102 | [TestMethod]
|
---|
103 | public void TranslocationMoveEvaluatorTest() {
|
---|
104 | var evaluator = new TSPRoundedEuclideanPathEvaluator();
|
---|
105 | var moveEvaluator = new TSPTranslocationMoveRoundedEuclideanPathEvaluator();
|
---|
106 | double beforeMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
|
---|
107 | double beforeCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
|
---|
108 | Assert.IsTrue(beforeMatrix.IsAlmost(beforeCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
109 |
|
---|
110 | for (int i = 0; i < 500; i++) {
|
---|
111 | var move = StochasticTranslocationSingleMoveGenerator.Apply(tour, random);
|
---|
112 |
|
---|
113 | double moveMatrix = TSPTranslocationMovePathEvaluator.EvaluateByDistanceMatrix(tour, move, distances);
|
---|
114 | double moveCoordinates = TSPTranslocationMovePathEvaluator.EvaluateByCoordinates(tour, move, coordinates, moveEvaluator);
|
---|
115 | Assert.IsTrue(moveMatrix.IsAlmost(moveCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
116 |
|
---|
117 | string failureString = string.Format(@"Translocation move is calculated with quality {0}, but actual difference is {5}.
|
---|
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}");
|
---|
119 | TranslocationManipulator.Apply(tour, move.Index1, move.Index2, move.Index3);
|
---|
120 |
|
---|
121 | double afterMatrix = TSPDistanceMatrixEvaluator.Apply(distances, tour);
|
---|
122 | double afterCoordinates = TSPCoordinatesPathEvaluator.Apply(evaluator, coordinates, tour);
|
---|
123 | Assert.IsTrue(afterMatrix.IsAlmost(afterCoordinates), "Evaluation differs between using the coordinates and using the distance matrix.");
|
---|
124 |
|
---|
125 | Assert.IsTrue(moveMatrix.IsAlmost(afterMatrix - beforeMatrix), string.Format(failureString, (afterMatrix - beforeMatrix).ToString()));
|
---|
126 |
|
---|
127 | beforeMatrix = afterMatrix;
|
---|
128 | beforeCoordinates = afterCoordinates;
|
---|
129 | }
|
---|
130 | }
|
---|
131 |
|
---|
132 | }
|
---|
133 | }
|
---|