1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 System.Collections.Generic;
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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 | using HeuristicLab.Persistence;
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28 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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29 | using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
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30 |
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31 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Prins {
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32 | [Item("PrinsEncoding", "Represents an Prins encoding of VRP solutions. It is implemented as described in Prins, C. (2004). A simple and effective evolutionary algorithm for the vehicle routing problem. Computers & Operations Research, 12:1985-2002.")]
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33 | [StorableType("89634df3-7e25-4a6c-861e-903310ad7819")]
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34 | public class PrinsEncoding : General.PermutationEncoding {
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35 | #region IVRPEncoding Members
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36 | public override int GetTourIndex(Tour tour) {
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37 | return 0;
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38 | }
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39 |
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40 | public override List<Tour> GetTours() {
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41 | List<Tour> result = new List<Tour>();
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42 |
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43 | int cities = ProblemInstance.Cities.Value;
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44 |
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45 | //Split permutation into vector P
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46 | int[] P = new int[cities + 1];
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47 | for (int i = 0; i <= cities; i++)
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48 | P[i] = -1;
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49 |
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50 | double[] V = new double[cities + 1];
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51 | V[0] = 0;
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52 | for (int i = 1; i <= cities; i++) {
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53 | V[i] = double.MaxValue;
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54 | }
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55 |
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56 | for (int i = 1; i <= cities; i++) {
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57 | int j = i;
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58 | Tour tour = new Tour();
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59 | bool feasible = true;
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60 |
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61 | do {
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62 | tour.Stops.Add(this[j - 1] + 1);
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63 |
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64 | VRPEvaluation eval =
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65 | ProblemInstance.EvaluateTour(tour, this);
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66 |
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67 | double cost = eval.Quality;
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68 | feasible = ProblemInstance.Feasible(eval);
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69 |
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70 | if (feasible || j == i) {
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71 | if (V[i - 1] + cost < V[j]) {
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72 | V[j] = V[i - 1] + cost;
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73 | P[j] = i - 1;
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74 | }
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75 | j++;
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76 | }
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77 |
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78 | } while (j <= cities && feasible);
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79 | }
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80 |
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81 | //extract VRP solution from vector P
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82 | int index = 0;
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83 | int index2 = cities;
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84 | Tour trip = null;
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85 | do {
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86 | index = P[index2];
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87 | trip = new Tour();
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88 |
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89 | for (int k = index + 1; k <= index2; k++) {
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90 | trip.Stops.Add(this[k - 1] + 1);
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91 | }
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92 |
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93 | if (trip.Stops.Count > 0)
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94 | result.Add(trip);
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95 |
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96 | index2 = index;
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97 | } while (index != 0);
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98 |
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99 | //if there are too many vehicles - repair
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100 | while (result.Count > ProblemInstance.Vehicles.Value) {
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101 | Tour tour = result[result.Count - 1];
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102 |
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103 | //find predecessor / successor in permutation
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104 | int predecessorIndex = Array.IndexOf(this.array, tour.Stops[0] - 1) - 1;
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105 | if (predecessorIndex >= 0) {
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106 | int predecessor = this[predecessorIndex] + 1;
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107 |
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108 | foreach (Tour t in result) {
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109 | int insertPosition = t.Stops.IndexOf(predecessor) + 1;
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110 | if (insertPosition != -1) {
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111 | t.Stops.InsertRange(insertPosition, tour.Stops);
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112 | break;
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113 | }
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114 | }
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115 | } else {
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116 | int successorIndex = Array.IndexOf(this.array,
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117 | tour.Stops[tour.Stops.Count - 1] - 1) + 1;
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118 | int successor = this[successorIndex] + 1;
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119 |
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120 | foreach (Tour t in result) {
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121 | int insertPosition = t.Stops.IndexOf(successor);
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122 | if (insertPosition != -1) {
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123 | t.Stops.InsertRange(insertPosition, tour.Stops);
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124 | break;
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125 | }
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126 | }
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127 | }
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128 |
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129 | result.Remove(tour);
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130 | }
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131 |
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132 | return result;
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133 | }
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134 | #endregion
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135 | public PrinsEncoding(Permutation permutation, IVRPProblemInstance problemInstance)
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136 | : base(permutation, problemInstance) {
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137 | }
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138 |
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139 | [StorableConstructor]
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140 | protected PrinsEncoding(bool serializing)
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141 | : base(serializing) {
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142 | }
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143 |
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144 | public override IDeepCloneable Clone(Cloner cloner) {
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145 | return new PrinsEncoding(this, cloner);
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146 | }
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147 |
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148 | protected PrinsEncoding(PrinsEncoding original, Cloner cloner)
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149 | : base(original, cloner) {
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150 | }
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151 |
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152 | public static PrinsEncoding ConvertFrom(IVRPEncoding encoding, IVRPProblemInstance problemInstance) {
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153 | List<Tour> tours = encoding.GetTours();
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154 | List<int> route = new List<int>();
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155 |
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156 | foreach (Tour tour in tours) {
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157 | foreach (int city in tour.Stops)
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158 | route.Add(city - 1);
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159 | }
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160 |
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161 | return new PrinsEncoding(
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162 | new Permutation(PermutationTypes.RelativeUndirected, route.ToArray()), problemInstance);
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163 | }
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164 |
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165 | public static PrinsEncoding ConvertFrom(List<int> routeParam, IVRPProblemInstance problemInstance) {
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166 | List<int> route = new List<int>(routeParam);
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167 |
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168 | while (route.Remove(0)) { //remove all delimiters (0)
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169 | }
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170 |
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171 | for (int i = 0; i < route.Count; i++)
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172 | route[i]--;
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173 |
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174 | return new PrinsEncoding(
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175 | new Permutation(PermutationTypes.RelativeUndirected, route.ToArray()), problemInstance);
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176 | }
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177 | }
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178 | }
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