1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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.Collections.Generic;
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23 | using HeuristicLab.Common;
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24 | using HeuristicLab.Core;
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25 | using HeuristicLab.Data;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 | using HeuristicLab.Problems.VehicleRouting.Encodings.General;
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30 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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31 |
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32 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
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33 | [Item("PotvinCrossover", "A VRP crossover operation.")]
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34 | [StorableClass]
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35 | public abstract class PotvinCrossover : VRPCrossover, IStochasticOperator, IPotvinOperator {
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36 | public ILookupParameter<IRandom> RandomParameter {
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37 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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38 | }
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39 |
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40 | public IValueParameter<BoolValue> AllowInfeasibleSolutions {
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41 | get { return (IValueParameter<BoolValue>)Parameters["AllowInfeasibleSolutions"]; }
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42 | }
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43 |
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44 | [StorableConstructor]
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45 | protected PotvinCrossover(bool deserializing) : base(deserializing) { }
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46 |
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47 | public PotvinCrossover() {
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48 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
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49 | Parameters.Add(new ValueParameter<BoolValue>("AllowInfeasibleSolutions", "Indicates if infeasible solutions should be allowed.", new BoolValue(false)));
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50 | }
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51 |
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52 | protected PotvinCrossover(PotvinCrossover original, Cloner cloner)
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53 | : base(original, cloner) {
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54 | }
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55 |
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56 | protected abstract PotvinEncoding Crossover(IRandom random, PotvinEncoding parent1, PotvinEncoding parent2);
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57 |
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58 | protected static bool FindInsertionPlace(PotvinEncoding individual, int city, bool allowInfeasible,
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59 | out int route, out int place) {
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60 | return individual.FindInsertionPlace(
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61 | city, -1, allowInfeasible,
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62 | out route, out place);
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63 | }
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64 |
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65 | protected static Tour FindRoute(PotvinEncoding solution, int city) {
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66 | Tour found = null;
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67 |
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68 | foreach (Tour tour in solution.Tours) {
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69 | if (tour.Stops.Contains(city)) {
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70 | found = tour;
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71 | break;
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72 | }
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73 | }
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74 |
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75 | return found;
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76 | }
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77 |
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78 | protected static bool RouteUnrouted(PotvinEncoding solution, bool allowInfeasible) {
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79 | bool success = true;
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80 | int index = 0;
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81 | while (index < solution.Unrouted.Count && success) {
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82 | int unrouted = solution.Unrouted[index];
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83 |
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84 | int route, place;
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85 | if (FindInsertionPlace(solution, unrouted, allowInfeasible,
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86 | out route, out place)) {
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87 | solution.Tours[route].Stops.Insert(place, unrouted);
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88 | } else {
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89 | success = false;
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90 | }
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91 |
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92 | index++;
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93 | }
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94 |
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95 | for (int i = 0; i < index; i++)
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96 | solution.Unrouted.RemoveAt(0);
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97 |
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98 | return success;
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99 | }
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100 |
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101 | protected static bool Repair(IRandom random, PotvinEncoding solution, Tour newTour, IVRPProblemInstance instance, bool allowInfeasible) {
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102 | bool success = true;
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103 |
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104 | //remove duplicates from new tour
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105 | for (int i = 0; i < newTour.Stops.Count; i++) {
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106 | for (int j = 0; j < newTour.Stops.Count; j++) {
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107 | if (newTour.Stops[i] == newTour.Stops[j] && i != j) {
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108 | if (random.NextDouble() < 0.5)
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109 | newTour.Stops[i] = 0;
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110 | else
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111 | newTour.Stops[j] = 0;
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112 | }
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113 | }
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114 | }
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115 | while (newTour.Stops.Contains(0))
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116 | newTour.Stops.Remove(0);
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117 |
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118 | //remove duplicates from old tours
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119 | for (int i = 0; i < newTour.Stops.Count; i++) {
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120 | foreach (Tour tour in solution.Tours) {
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121 | if (tour != newTour && tour.Stops.Contains(newTour.Stops[i])) {
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122 | tour.Stops.Remove(newTour.Stops[i]);
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123 | }
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124 | }
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125 | }
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126 |
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127 | //remove empty tours
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128 | List<Tour> toBeDeleted = new List<Tour>();
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129 | foreach (Tour tour in solution.Tours) {
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130 | if (tour.Stops.Count == 0)
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131 | toBeDeleted.Add(tour);
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132 | }
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133 | foreach (Tour tour in toBeDeleted) {
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134 | solution.Tours.Remove(tour);
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135 | }
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136 |
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137 | if (newTour.Stops.Count > 0 && !allowInfeasible && !instance.TourFeasible(newTour, solution))
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138 | return false;
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139 |
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140 | //route unrouted vehicles
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141 | success = RouteUnrouted(solution, allowInfeasible);
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142 |
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143 | return success;
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144 | }
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145 |
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146 | public override IOperation InstrumentedApply() {
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147 | ItemArray<IVRPEncoding> parents = new ItemArray<IVRPEncoding>(ParentsParameter.ActualValue.Length);
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148 | for (int i = 0; i < ParentsParameter.ActualValue.Length; i++) {
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149 | IVRPEncoding solution = ParentsParameter.ActualValue[i];
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150 |
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151 | if (!(solution is PotvinEncoding)) {
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152 | parents[i] = PotvinEncoding.ConvertFrom(solution, ProblemInstance);
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153 | } else {
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154 | parents[i] = solution;
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155 | }
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156 | }
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157 | ParentsParameter.ActualValue = parents;
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158 |
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159 | ChildParameter.ActualValue = Crossover(RandomParameter.ActualValue, parents[0] as PotvinEncoding, parents[1] as PotvinEncoding);
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160 | (ChildParameter.ActualValue as PotvinEncoding).Repair();
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161 |
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162 | return base.InstrumentedApply();
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163 | }
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164 | }
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165 | }
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