1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 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.Threading;
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23 | using HEAL.Attic;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Encodings.PermutationEncoding;
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27 |
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28 | namespace HeuristicLab.Problems.PTSP {
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29 | [Item("Analytical Probabilistic TSP (pTSP)", "Represents a probabilistic traveling salesman problem where the expected tour length is calculated exactly.")]
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30 | [Creatable(CreatableAttribute.Categories.CombinatorialProblems)]
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31 | [StorableType("509B6AB5-F4DE-4144-A031-43EEBAD02CA6")]
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32 | public sealed class AnalyticalPTSP : ProbabilisticTSP {
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33 |
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34 | [StorableConstructor]
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35 | private AnalyticalPTSP(StorableConstructorFlag _) : base(_) { }
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36 | private AnalyticalPTSP(AnalyticalPTSP original, Cloner cloner) : base(original, cloner) { }
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37 | public AnalyticalPTSP() {
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38 | Operators.Add(new PTSPAnalyticalInversionMoveEvaluator());
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39 | Operators.Add(new PTSPAnalyticalInsertionMoveEvaluator());
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40 | Operators.Add(new PTSPAnalyticalInversionLocalImprovement());
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41 | Operators.Add(new PTSPAnalyticalInsertionLocalImprovement());
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42 | Operators.Add(new PTSPAnalyticalTwoPointFiveLocalImprovement());
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43 |
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44 | Operators.Add(new ExhaustiveTwoPointFiveMoveGenerator());
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45 | Operators.Add(new StochasticTwoPointFiveMultiMoveGenerator());
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46 | Operators.Add(new StochasticTwoPointFiveSingleMoveGenerator());
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47 | Operators.Add(new TwoPointFiveMoveMaker());
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48 | Operators.Add(new PTSPAnalyticalTwoPointFiveMoveEvaluator());
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49 |
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50 | Encoding.ConfigureOperators(Operators);
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51 | }
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52 |
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53 | public override IDeepCloneable Clone(Cloner cloner) {
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54 | return new AnalyticalPTSP(this, cloner);
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55 | }
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56 |
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57 | protected override void OnEncodingChanged() {
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58 | base.OnEncodingChanged();
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59 | Encoding.ConfigureOperators(Operators);
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60 | }
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61 |
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62 | public override double Evaluate(Permutation tour, IRandom random, CancellationToken cancellationToken) {
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63 | return Evaluate(tour, ProbabilisticTSPData, cancellationToken);
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64 | }
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65 |
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66 | public static double Evaluate(Permutation tour, IProbabilisticTSPData data, CancellationToken cancellationToken) {
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67 | // Analytical evaluation
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68 | var firstSum = 0.0;
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69 | for (var i = 0; i < tour.Length - 1; i++) {
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70 | for (var j = i + 1; j < tour.Length; j++) {
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71 | var prod1 = data.TSPData.GetDistance(tour[i], tour[j]) * data.GetProbability(tour[i]) * data.GetProbability(tour[j]);
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72 | for (var k = i + 1; k < j; k++) {
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73 | prod1 *= (1 - data.GetProbability(tour[k]));
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74 | }
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75 | firstSum += prod1;
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76 | }
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77 | }
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78 | var secondSum = 0.0;
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79 | for (var j = 0; j < tour.Length; j++) {
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80 | for (var i = 0; i < j; i++) {
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81 | var prod2 = data.TSPData.GetDistance(tour[j], tour[i]) * data.GetProbability(tour[i]) * data.GetProbability(tour[j]);
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82 | for (var k = j + 1; k < tour.Length; k++) {
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83 | prod2 *= (1 - data.GetProbability(tour[k]));
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84 | }
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85 | for (var k = 0; k < i; k++) {
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86 | prod2 *= (1 - data.GetProbability(tour[k]));
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87 | }
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88 | secondSum += prod2;
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89 | }
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90 | }
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91 | return firstSum + secondSum;
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92 | }
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93 | }
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94 | }
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