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 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.Persistence.Default.CompositeSerializers.Storable;
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26 |
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27 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.GVR {
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28 | [Item("GVRDisplacementManipulator", "An operator which manipulates a GVR representation by applying a displacement operation. It is implemented as described in Pereira, F.B. et al (2002). GVR: a New Genetic Representation for the Vehicle Routing Problem. AICS 2002, LNAI 2464, pp. 95-102.")]
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29 | [StorableClass]
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30 | public sealed class GVRDisplacementManipulator : GVRManipulator {
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31 | [StorableConstructor]
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32 | private GVRDisplacementManipulator(bool deserializing) : base(deserializing) { }
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33 | private GVRDisplacementManipulator(GVRDisplacementManipulator original, Cloner cloner) : base(original, cloner) { }
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34 | public override IDeepCloneable Clone(Cloner cloner) {
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35 | return new GVRDisplacementManipulator(this, cloner);
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36 | }
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37 | public GVRDisplacementManipulator()
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38 | : base() {
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39 | }
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40 |
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41 | protected override void Manipulate(IRandom random, GVREncoding individual) {
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42 | Tour tour = individual.Tours[random.Next(individual.Tours.Count)];
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43 | int breakPoint1 = random.Next(tour.Cities.Count);
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44 | int length = random.Next(1, tour.Cities.Count - breakPoint1 + 1);
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45 |
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46 | List<int> displaced = tour.Cities.GetRange(breakPoint1, length);
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47 | tour.Cities.RemoveRange(breakPoint1, length);
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48 | //with a probability of 1/(2*V) create a new tour, else insert at another position
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49 | if (individual.GetTours().Count > 0 &&
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50 | individual.GetTours().Count < VehiclesParameter.ActualValue.Value &&
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51 | random.Next(individual.GetTours().Count * 2) == 0) {
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52 | Tour newTour = new Tour();
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53 | newTour.Cities.InsertRange(0, displaced);
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54 |
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55 | individual.Tours.Add(newTour);
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56 | } else {
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57 | Tour newTour = individual.Tours[random.Next(individual.Tours.Count)];
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58 | int newPosition = newTour.Cities.Count;
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59 |
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60 | newTour.Cities.InsertRange(newPosition, displaced);
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61 | }
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62 |
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63 | if (tour.Cities.Count == 0)
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64 | individual.Tours.Remove(tour);
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65 | }
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66 | }
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67 | }
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