1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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 HeuristicLab.Common;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Encodings.PermutationEncoding;
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26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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27 | using System.Drawing;
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28 | using System.Collections.Generic;
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29 | using HeuristicLab.Problems.VehicleRouting.Encodings.General;
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30 | using HeuristicLab.Problems.VehicleRouting.Variants;
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31 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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32 | using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
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33 |
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34 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
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35 | [Item("PotvinEncoding", "Represents a potvin encoding of VRP solutions. It is implemented as described in Potvin, J.-Y. and Bengio, S. (1996). The Vehicle Routing Problem with Time Windows - Part II: Genetic Search. INFORMS Journal of Computing, 8:165–172.")]
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36 | [StorableClass]
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37 | public class PotvinEncoding : TourEncoding, ISingleDepotEncoding, ITimeWindowedEncoding, IHomogenousCapacitatedEncoding {
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38 | [Storable]
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39 | public List<int> Unrouted { get; set; }
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40 |
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41 | [Storable]
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42 | public double PenaltyFactor { get; set; }
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43 |
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44 | public PotvinEncoding(IVRPProblemInstance instance)
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45 | : base(instance) {
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46 | Unrouted = new List<int>();
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47 | PenaltyFactor = 1;
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48 | }
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49 |
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50 | [StorableConstructor]
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51 | private PotvinEncoding(bool serializing)
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52 | : base(serializing) {
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53 | }
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54 |
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55 | public override IDeepCloneable Clone(Cloner cloner) {
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56 | return new PotvinEncoding(this, cloner);
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57 | }
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58 |
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59 | protected PotvinEncoding(PotvinEncoding original, Cloner cloner)
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60 | : base(original, cloner) {
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61 | this.Unrouted = new List<int>(original.Unrouted);
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62 | this.PenaltyFactor = original.PenaltyFactor;
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63 | }
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64 |
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65 | public static PotvinEncoding ConvertFrom(IVRPEncoding encoding, IVRPProblemInstance instance) {
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66 | PotvinEncoding solution = new PotvinEncoding(instance);
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67 |
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68 | TourEncoding.ConvertFrom(encoding, solution, instance);
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69 |
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70 | return solution;
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71 | }
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72 |
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73 | public static PotvinEncoding ConvertFrom(List<int> route, IVRPProblemInstance instance) {
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74 | PotvinEncoding solution = new PotvinEncoding(instance);
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75 |
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76 | TourEncoding.ConvertFrom(route, solution);
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77 |
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78 | return solution;
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79 | }
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80 |
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81 | public double GetTourLength(Tour tour) {
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82 | double length = 0;
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83 |
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84 | if (tour.Stops.Count > 0) {
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85 | List<int> cities = new List<int>();
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86 | cities.Add(0);
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87 | foreach (int city in tour.Stops) {
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88 | cities.Add(city);
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89 | }
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90 | cities.Add(0);
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91 |
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92 | for (int i = 1; i < cities.Count; i++) {
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93 | length += ProblemInstance.GetDistance(cities[i - 1], cities[i]);
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94 | }
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95 | }
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96 |
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97 | return length;
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98 | }
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99 |
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100 | public int FindBestInsertionPlace(Tour tour, int city) {
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101 | int place = -1;
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102 | double minQuality = -1;
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103 |
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104 | for (int i = 0; i <= tour.Stops.Count; i++) {
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105 | tour.Stops.Insert(i, city);
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106 |
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107 | VRPEvaluation eval = ProblemInstance.EvaluatorParameter.Value.Evaluate(ProblemInstance, tour);
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108 | double quality = eval.Quality + eval.Penalty * (PenaltyFactor - 1.0);
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109 |
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110 | if (place < 0 || quality < minQuality) {
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111 | place = i;
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112 | minQuality = quality;
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113 | }
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114 |
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115 | tour.Stops.RemoveAt(i);
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116 | }
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117 |
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118 | if (place == -1)
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119 | place = 0;
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120 |
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121 | return place;
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122 | }
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123 |
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124 | public bool FindInsertionPlace(int city, int routeToAvoid, out int route, out int place) {
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125 | route = -1;
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126 | place = -1;
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127 | double minDetour = 0;
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128 |
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129 | for (int tour = 0; tour < Tours.Count; tour++) {
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130 | if (tour != routeToAvoid) {
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131 | double length = GetTourLength(Tours[tour]);
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132 |
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133 | for (int i = 0; i <= Tours[tour].Stops.Count; i++) {
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134 | Tours[tour].Stops.Insert(i, city);
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135 |
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136 | VRPEvaluation eval = ProblemInstance.EvaluatorParameter.Value.Evaluate(
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137 | ProblemInstance, Tours[tour]);
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138 | if (ProblemInstance.EvaluatorParameter.Value.Feasible(eval)) {
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139 | double newLength = eval.Distance;
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140 |
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141 | double detour = newLength - length;
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142 |
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143 | if (route <= 0 || detour < minDetour) {
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144 | route = tour;
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145 | place = i;
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146 | minDetour = detour;
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147 | }
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148 | }
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149 |
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150 | Tours[tour].Stops.RemoveAt(i);
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151 | }
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152 | }
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153 | }
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154 |
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155 | return route >= 0 && place >= 0;
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156 | }
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157 | }
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158 | }
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