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 |
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30 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
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31 | [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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32 | [StorableClass]
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33 | public class PotvinEncoding : Item, IVRPEncoding {
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34 | public override Image ItemImage {
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35 | get { return HeuristicLab.Common.Resources.VS2008ImageLibrary.Class; }
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36 | }
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37 |
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38 | #region IVRPEncoding Members
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39 | [Storable]
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40 | public ItemList<Tour> Tours { get; set; }
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41 |
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42 | public int Cities {
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43 | get
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44 | {
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45 | int cities = 0;
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46 |
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47 | foreach (Tour tour in Tours) {
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48 | cities += tour.Cities.Count;
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49 | }
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50 |
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51 | return cities;
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52 | }
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53 | }
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54 | #endregion
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55 |
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56 | [Storable]
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57 | public List<int> Unrouted { get; set; }
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58 |
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59 | public override IDeepCloneable Clone(HeuristicLab.Common.Cloner cloner) {
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60 | PotvinEncoding clone = new PotvinEncoding();
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61 | cloner.RegisterClonedObject(this, clone);
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62 | clone.Tours = (ItemList<Tour>)cloner.Clone(this.Tours);
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63 | clone.Unrouted = new List<int>(Unrouted);
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64 | return clone;
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65 | }
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66 |
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67 | public PotvinEncoding() {
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68 | Tours = new ItemList<Tour>();
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69 | Unrouted = new List<int>();
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70 | }
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71 |
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72 | public static PotvinEncoding ConvertFrom(IVRPEncoding encoding) {
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73 | PotvinEncoding solution = new PotvinEncoding();
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74 |
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75 | solution.Tours.AddRange(
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76 | encoding.Tours);
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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 static PotvinEncoding ConvertFrom(List<int> route) {
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82 | PotvinEncoding solution = new PotvinEncoding();
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83 |
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84 | Tour tour = new Tour();
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85 | for (int i = 0; i < route.Count; i++) {
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86 | if (route[i] == 0) {
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87 | if (tour.Cities.Count > 0) {
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88 | solution.Tours.Add(tour);
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89 | tour = new Tour();
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90 | }
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91 | } else {
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92 | tour.Cities.Add(route[i]);
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93 | }
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94 | }
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95 |
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96 | return solution;
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97 | }
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98 |
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99 | public bool FindInsertionPlace(
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100 | DoubleArray dueTimeArray,
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101 | DoubleArray serviceTimeArray, DoubleArray readyTimeArray, DoubleArray demandArray, DoubleValue capacity,
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102 | DoubleMatrix coordinates, ILookupParameter<DoubleMatrix> distanceMatrix, BoolValue useDistanceMatrix,
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103 | int city, int routeToAvoid, out int route, out int place) {
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104 | route = -1;
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105 | place = -1;
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106 | double minDetour = 0;
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107 |
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108 | for (int tour = 0; tour < Tours.Count; tour++) {
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109 | if (tour != routeToAvoid) {
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110 | for (int i = 0; i <= Tours[tour].Cities.Count; i++) {
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111 | double length = Tours[tour].GetLength(coordinates, distanceMatrix, useDistanceMatrix);
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112 |
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113 | Tours[tour].Cities.Insert(i, city);
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114 |
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115 | if (Tours[tour].Feasible(dueTimeArray, serviceTimeArray, readyTimeArray, demandArray,
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116 | capacity, coordinates, distanceMatrix, useDistanceMatrix)) {
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117 | double newLength = Tours[tour].GetLength(coordinates, distanceMatrix, useDistanceMatrix);
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118 |
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119 | double detour = newLength - length;
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120 |
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121 | if (route <= 0 || detour < minDetour) {
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122 | route = tour;
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123 | place = i;
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124 | minDetour = detour;
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125 | }
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126 | }
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127 |
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128 | Tours[tour].Cities.RemoveAt(i);
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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 | return route >= 0 && place >= 0;
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134 | }
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135 | }
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136 | }
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