1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 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;
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23 | using System.Collections.Generic;
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24 | using HeuristicLab.Common;
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25 | using HeuristicLab.Core;
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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 |
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31 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Alba {
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32 | [Item("AlbaStochasticLambdaInterchangeSingleMoveGenerator", "Generates one random lambda interchange move from a given VRP encoding. It is implemented as described in Alba, E. and Dorronsoro, B. (2004). Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms.")]
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33 | [StorableClass]
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34 | public sealed class AlbaStochasticLambdaInterchangeSingleMoveGenerator : AlbaLambdaInterchangeMoveGenerator,
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35 | IStochasticOperator, ISingleMoveGenerator, IAlbaLambdaInterchangeMoveOperator, IMultiVRPMoveGenerator {
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36 | #region IMultiVRPMoveOperator Members
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37 |
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38 | public ILookupParameter VRPMoveParameter {
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39 | get { return (ILookupParameter)Parameters["AlbaLambdaInterchangeMove"]; }
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40 | }
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41 |
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42 | #endregion
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43 |
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44 | public ILookupParameter<IRandom> RandomParameter {
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45 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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46 | }
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47 |
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48 | [StorableConstructor]
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49 | private AlbaStochasticLambdaInterchangeSingleMoveGenerator(bool deserializing) : base(deserializing) { }
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50 | private AlbaStochasticLambdaInterchangeSingleMoveGenerator(AlbaStochasticLambdaInterchangeSingleMoveGenerator original, Cloner cloner)
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51 | : base(original, cloner) {
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52 | }
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53 | public AlbaStochasticLambdaInterchangeSingleMoveGenerator()
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54 | : base() {
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55 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
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56 | }
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57 |
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58 | public override IDeepCloneable Clone(Cloner cloner) {
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59 | return new AlbaStochasticLambdaInterchangeSingleMoveGenerator(this, cloner);
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60 | }
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61 |
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62 | public static AlbaLambdaInterchangeMove Apply(AlbaEncoding individual, int cities, int lambda, IRandom rand) {
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63 | List<Tour> tours = individual.GetTours();
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64 |
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65 | if (tours.Count > 1) {
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66 | int route1Index = rand.Next(tours.Count);
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67 | Tour route1 = tours[route1Index];
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68 |
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69 | int route2Index = rand.Next(tours.Count - 1);
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70 | if (route2Index >= route1Index)
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71 | route2Index += 1;
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72 | Tour route2 = tours[route2Index];
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73 |
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74 | int length1 = rand.Next(Math.Min(lambda + 1, route1.Cities.Count + 1));
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75 | int index1 = rand.Next(route1.Cities.Count - length1 + 1);
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76 |
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77 | int l2Min = 0;
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78 | if (length1 == 0)
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79 | l2Min = 1;
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80 | int length2 = rand.Next(l2Min, Math.Min(lambda + 1, route2.Cities.Count + 1));
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81 | int index2 = rand.Next(route2.Cities.Count - length2 + 1);
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82 |
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83 | return new AlbaLambdaInterchangeMove(route1Index, index1, length1, route2Index, index2, length2, individual);
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84 | } else {
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85 | return new AlbaLambdaInterchangeMove(0, 0, 0, 0, 0, 0, individual);
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86 | }
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87 | }
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88 |
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89 | protected override AlbaLambdaInterchangeMove[] GenerateMoves(AlbaEncoding individual, int lambda) {
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90 | List<AlbaLambdaInterchangeMove> moves = new List<AlbaLambdaInterchangeMove>();
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91 |
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92 | AlbaLambdaInterchangeMove move = Apply(individual, Cities, lambda, RandomParameter.ActualValue);
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93 | if (move != null)
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94 | moves.Add(move);
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95 |
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96 | return moves.ToArray();
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97 | }
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98 | }
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99 | }
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