[4174] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[5445] | 3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[4174] | 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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[4722] | 22 | using System.Collections.Generic;
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| 23 | using HeuristicLab.Common;
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[4174] | 24 | using HeuristicLab.Core;
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[4722] | 25 | using HeuristicLab.Optimization;
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[4174] | 26 | using HeuristicLab.Parameters;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
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[4206] | 30 | [Item("PotvinCrossover", "A VRP crossover operation.")]
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[4174] | 31 | [StorableClass]
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| 32 | public abstract class PotvinCrossover : VRPCrossover, IStochasticOperator {
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| 33 | public ILookupParameter<IRandom> RandomParameter {
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| 34 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 35 | }
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| 36 |
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[4179] | 37 | [StorableConstructor]
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| 38 | protected PotvinCrossover(bool deserializing) : base(deserializing) { }
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[4722] | 39 | protected PotvinCrossover(PotvinCrossover original, Cloner cloner)
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| 40 | : base(original, cloner) {
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| 41 | }
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[4179] | 42 |
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[4174] | 43 | public PotvinCrossover() {
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| 44 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
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| 45 | }
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| 46 |
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| 47 | protected abstract PotvinEncoding Crossover(IRandom random, PotvinEncoding parent1, PotvinEncoding parent2);
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| 48 |
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| 49 | protected bool FindInsertionPlace(PotvinEncoding individual, int city, out int route, out int place) {
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| 50 | return individual.FindInsertionPlace(
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| 51 | DueTimeParameter.ActualValue, ServiceTimeParameter.ActualValue, ReadyTimeParameter.ActualValue,
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| 52 | DemandParameter.ActualValue, CapacityParameter.ActualValue, CoordinatesParameter.ActualValue,
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| 53 | DistanceMatrixParameter, UseDistanceMatrixParameter.ActualValue,
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| 54 | city, -1, out route, out place);
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| 55 | }
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| 56 |
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[4186] | 57 | protected Tour FindRoute(PotvinEncoding solution, int city) {
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| 58 | Tour found = null;
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| 59 |
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| 60 | foreach (Tour tour in solution.Tours) {
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| 61 | if (tour.Cities.Contains(city)) {
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| 62 | found = tour;
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| 63 | break;
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| 64 | }
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| 65 | }
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| 66 |
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| 67 | return found;
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| 68 | }
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| 69 |
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[4174] | 70 | protected bool Repair(IRandom random, PotvinEncoding solution, Tour newTour) {
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| 71 | bool success = true;
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[4722] | 72 |
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[4174] | 73 | //remove duplicates from new tour
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| 74 | for (int i = 0; i < newTour.Cities.Count; i++) {
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| 75 | for (int j = 0; j < newTour.Cities.Count; j++) {
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| 76 | if (newTour.Cities[i] == newTour.Cities[j] && i != j) {
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| 77 | if (random.NextDouble() < 0.5)
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| 78 | newTour.Cities[i] = 0;
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| 79 | else
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| 80 | newTour.Cities[j] = 0;
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| 81 | }
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| 82 | }
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| 83 | }
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[4722] | 84 | while (newTour.Cities.Contains(0))
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[4174] | 85 | newTour.Cities.Remove(0);
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| 86 |
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| 87 | //remove duplicates from old tours
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| 88 | for (int i = 0; i < newTour.Cities.Count; i++) {
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| 89 | foreach (Tour tour in solution.Tours) {
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| 90 | if (tour != newTour && tour.Cities.Contains(newTour.Cities[i])) {
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| 91 | tour.Cities.Remove(newTour.Cities[i]);
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| 92 | }
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| 93 | }
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| 94 | }
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| 95 |
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| 96 | //remove empty tours
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| 97 | List<Tour> toBeDeleted = new List<Tour>();
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| 98 | foreach (Tour tour in solution.Tours) {
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| 99 | if (tour.Cities.Count == 0)
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| 100 | toBeDeleted.Add(tour);
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| 101 | }
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| 102 | foreach (Tour tour in toBeDeleted) {
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| 103 | solution.Tours.Remove(tour);
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| 104 | }
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| 105 |
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| 106 | //route unrouted vehicles
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| 107 | int index = 0;
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| 108 | while (index < solution.Unrouted.Count && success) {
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| 109 | int unrouted = solution.Unrouted[index];
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| 110 |
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| 111 | int route, place;
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[4722] | 112 | if (FindInsertionPlace(solution, unrouted, out route, out place)) {
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[4174] | 113 | solution.Tours[route].Cities.Insert(place, unrouted);
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| 114 | } else {
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| 115 | success = false;
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| 116 | }
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| 117 |
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| 118 | index++;
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| 119 | }
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| 120 |
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| 121 | for (int i = 0; i < index; i++)
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| 122 | solution.Unrouted.RemoveAt(0);
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| 123 |
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| 124 | return success;
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| 125 | }
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| 126 |
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| 127 | public override IOperation Apply() {
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| 128 | ItemArray<IVRPEncoding> parents = new ItemArray<IVRPEncoding>(ParentsParameter.ActualValue.Length);
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| 129 | for (int i = 0; i < ParentsParameter.ActualValue.Length; i++) {
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| 130 | IVRPEncoding solution = ParentsParameter.ActualValue[i];
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| 131 |
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| 132 | if (!(solution is PotvinEncoding)) {
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[4352] | 133 | parents[i] = PotvinEncoding.ConvertFrom(solution, DistanceMatrixParameter);
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[4174] | 134 | } else {
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| 135 | parents[i] = solution;
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| 136 | }
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| 137 | }
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| 138 | ParentsParameter.ActualValue = parents;
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| 139 |
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| 140 | ChildParameter.ActualValue = Crossover(RandomParameter.ActualValue, parents[0] as PotvinEncoding, parents[1] as PotvinEncoding);
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| 141 |
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| 142 | return base.Apply();
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| 143 | }
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| 144 | }
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| 145 | }
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