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source: branches/2521_ProblemRefactoring/HeuristicLab.Problems.VehicleRouting/3.4/Encodings/Potvin/Manipulators/PotvinPairwiseTwoLevelExchangeManipulator.cs @ 17712

Last change on this file since 17712 was 17712, checked in by abeham, 4 years ago

#2521: working on VRP

File size: 8.2 KB
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1#region License Information
2/* HeuristicLab
3 * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
4 *
5 * This file is part of HeuristicLab.
6 *
7 * HeuristicLab is free software: you can redistribute it and/or modify
8 * it under the terms of the GNU General Public License as published by
9 * the Free Software Foundation, either version 3 of the License, or
10 * (at your option) any later version.
11 *
12 * HeuristicLab is distributed in the hope that it will be useful,
13 * but WITHOUT ANY WARRANTY; without even the implied warranty of
14 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
15 * GNU General Public License for more details.
16 *
17 * You should have received a copy of the GNU General Public License
18 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
19 */
20#endregion
21
22using HEAL.Attic;
23using HeuristicLab.Common;
24using HeuristicLab.Core;
25using HeuristicLab.Encodings.PermutationEncoding;
26using HeuristicLab.Problems.VehicleRouting.Interfaces;
27using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
28using HeuristicLab.Problems.VehicleRouting.Variants;
29
30namespace HeuristicLab.Problems.VehicleRouting.Encodings.Potvin {
31  [Item("PotvinPairwiseTwoLevelExchangeManipulator", "The 2M operator which manipulates a VRP representation.   It has been adapted to pickup and delivery from 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.  It was adapted to the PDP formulation.")]
32  [StorableType("8E4D8A17-1204-45CC-8ED7-375FCE0355E8")]
33  public sealed class PotvinPairwiseTwoLevelExchangeManipulator : PotvinManipulator {
34    [StorableConstructor]
35    private PotvinPairwiseTwoLevelExchangeManipulator(StorableConstructorFlag _) : base(_) { }
36
37    public PotvinPairwiseTwoLevelExchangeManipulator() : base() { }
38
39    public override IDeepCloneable Clone(Cloner cloner) {
40      return new PotvinPairwiseTwoLevelExchangeManipulator(this, cloner);
41    }
42
43    private PotvinPairwiseTwoLevelExchangeManipulator(PotvinPairwiseTwoLevelExchangeManipulator original, Cloner cloner)
44      : base(original, cloner) {
45    }
46
47    private static PotvinEncodedSolution ReplacePair(PotvinEncodedSolution individual, IVRPProblemInstance instance, int replaced, int replacing, bool allowInfeasible) {
48      individual = individual.Clone() as PotvinEncodedSolution;
49      IPickupAndDeliveryProblemInstance pdp = instance as IPickupAndDeliveryProblemInstance;
50
51      int replacedDest = pdp.GetPickupDeliveryLocation(replaced);
52      int replacedSource, replacedTarget;
53      if (pdp.GetDemand(replaced) >= 0) {
54        replacedSource = replaced;
55        replacedTarget = replacedDest;
56      } else {
57        replacedSource = replacedDest;
58        replacedTarget = replaced;
59      }
60      Tour replacedSourceTour = individual.Tours.Find(t => t.Stops.Contains(replacedSource));
61      Tour replacedTargetTour = individual.Tours.Find(t => t.Stops.Contains(replacedTarget));
62
63      int replacingDest = pdp.GetPickupDeliveryLocation(replacing);
64      int replacingSource, replacingTarget;
65      if (pdp.GetDemand(replacing) >= 0) {
66        replacingSource = replacing;
67        replacingTarget = replacingDest;
68      } else {
69        replacingSource = replacingDest;
70        replacingTarget = replacing;
71      }
72      Tour replacingSourceTour = individual.Tours.Find(t => t.Stops.Contains(replacingSource));
73      Tour replacingTargetTour = individual.Tours.Find(t => t.Stops.Contains(replacingTarget));
74
75      replacingSourceTour.Stops.Remove(replacingSource);
76      replacingTargetTour.Stops.Remove(replacingTarget);
77
78      replacedSourceTour.Stops[replacedSourceTour.Stops.IndexOf(replacedSource)] = replacingSource;
79      var evalSourceTour = instance.EvaluateTour(replacedSourceTour, individual);
80      if (!allowInfeasible && !evalSourceTour.IsFeasible)
81        return null;
82
83      var evalTargetTour = instance.EvaluateTour(replacedTargetTour, individual);
84      replacedTargetTour.Stops[replacedTargetTour.Stops.IndexOf(replacedTarget)] = replacingTarget;
85      if (!allowInfeasible && !evalTargetTour.IsFeasible)
86        return null;
87
88      double bestQuality = double.MaxValue;
89      int bestTour = -1;
90      int bestPositionSource = -1;
91      int bestPositionTarget = -1;
92
93      int routeToAvoid = individual.Tours.IndexOf(replacingSourceTour);
94
95      for (int tourIdx = 0; tourIdx < individual.Tours.Count; tourIdx++) {
96        if (tourIdx != routeToAvoid) {
97          Tour tour = individual.Tours[tourIdx];
98          VRPEvaluation eval = instance.EvaluateTour(tour, individual);
99          individual.InsertPair(tour, replacedSource, replacedTarget, instance);
100          VRPEvaluation evalNew = instance.EvaluateTour(tour, individual);
101
102          double delta = evalNew.Quality - eval.Quality;
103
104          if (delta < bestQuality &&
105              (evalNew.IsFeasible || allowInfeasible)) {
106            bestQuality = delta;
107            bestTour = tourIdx;
108            bestPositionSource = tour.Stops.IndexOf(replacedSource);
109            bestPositionTarget = tour.Stops.IndexOf(replacedTarget);
110          }
111
112          tour.Stops.Remove(replacedSource);
113          tour.Stops.Remove(replacedTarget);
114        }
115      }
116
117      if (bestTour != -1) {
118        if (bestPositionTarget < bestPositionSource) {
119          individual.Tours[bestTour].Stops.Insert(bestPositionTarget, replacedTarget);
120          individual.Tours[bestTour].Stops.Insert(bestPositionSource, replacedSource);
121        } else {
122          individual.Tours[bestTour].Stops.Insert(bestPositionSource, replacedSource);
123          individual.Tours[bestTour].Stops.Insert(bestPositionTarget, replacedTarget);
124        }
125
126        return individual;
127      } else {
128        return null;
129      }
130    }
131
132    public static PotvinEncodedSolution ApplyManipulation(IRandom random, PotvinEncodedSolution individual, IPickupAndDeliveryProblemInstance pdp, bool allowInfeasible) {
133      PotvinEncodedSolution result = null;
134     
135      int selectedIndex = SelectRandomTourBiasedByLength(random, individual, pdp);
136      if (selectedIndex >= 0) {
137        bool performed = false;
138        Tour route1 = individual.Tours[selectedIndex];
139
140        if (route1.Stops.Count > 0) {
141          //randomize customer selection
142          Permutation perm = new Permutation(PermutationTypes.Absolute, route1.Stops.Count, random);
143          int customer1Position = 0;
144
145          while (customer1Position < route1.Stops.Count) {
146            performed = false;
147
148            int customer1 = route1.Stops[perm[customer1Position]];
149            int customer2 = -1;
150
151            for (int i = 0; i < individual.Tours.Count; i++) {
152              if (i != selectedIndex) {
153                Tour tour = individual.Tours[i];
154                for (int customer2Position = 0; customer2Position < tour.Stops.Count; customer2Position++) {
155                  customer2 = tour.Stops[customer2Position];
156
157                  if (pdp.GetPickupDeliveryLocation(customer1) != customer2) {
158                    result = ReplacePair(individual, pdp, customer2, customer1, allowInfeasible);
159                    if (result != null) {
160                      individual = result;
161
162                      route1 = individual.Tours[selectedIndex];
163                      performed = true;
164                      break;
165                    }
166                  }
167                }
168              }
169
170              if (performed) {
171                break;
172              }
173            }
174
175            if (!performed)
176              customer1Position++;
177            else
178              break;
179          }
180        }
181      }
182
183      return result;
184    }
185
186    protected override void Manipulate(IRandom random, PotvinEncodedSolution individual) {
187      bool allowInfeasible = AllowInfeasibleSolutions.Value.Value;
188      IPickupAndDeliveryProblemInstance pdp = ProblemInstance as IPickupAndDeliveryProblemInstance;
189
190      if (pdp != null) {
191        PotvinEncodedSolution result = ApplyManipulation(random, individual, pdp, allowInfeasible);
192        if (result != null) {
193          VRPToursParameter.ActualValue = result;
194        }       
195      }
196    }
197  }
198}
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