1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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 System.Linq;
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25 | using System.Text;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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29 | using HeuristicLab.Data;
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30 | using HeuristicLab.Common;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Operators;
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33 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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34 |
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35 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.Alba {
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36 | [Item("AlbaLambdaInterchangeLocalImprovementOperator", "Takes a solution and finds the local optimum with respect to the lambda interchange neighborhood by decending along the steepest gradient.")]
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37 | [StorableClass]
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38 | public class AlbaLambdaInterchangeLocalImprovementOperator : VRPOperator, IStochasticOperator, ILocalImprovementOperator, ISingleObjectiveOperator {
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39 |
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40 | public IValueLookupParameter<IntValue> MaximumIterationsParameter {
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41 | get { return (IValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
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42 | }
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43 |
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44 | public ILookupParameter<IntValue> EvaluatedSolutionsParameter {
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45 | get { return (ILookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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46 | }
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47 |
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48 | public ILookupParameter<ResultCollection> ResultsParameter {
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49 | get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
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50 | }
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51 |
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52 | public ILookupParameter<IVRPEncoding> VRPToursParameter {
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53 | get { return (ILookupParameter<IVRPEncoding>)Parameters["VRPTours"]; }
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54 | }
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55 |
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56 | public ILookupParameter<DoubleValue> QualityParameter {
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57 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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58 | }
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59 |
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60 | public IValueParameter<IntValue> LambdaParameter {
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61 | get { return (IValueParameter<IntValue>)Parameters["Lambda"]; }
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62 | }
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63 |
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64 | public IValueParameter<IntValue> SampleSizeParameter {
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65 | get { return (IValueParameter<IntValue>)Parameters["SampleSize"]; }
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66 | }
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67 |
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68 | public ILookupParameter<IRandom> RandomParameter {
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69 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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70 | }
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71 |
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72 | [StorableConstructor]
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73 | protected AlbaLambdaInterchangeLocalImprovementOperator(bool deserializing) : base(deserializing) { }
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74 | protected AlbaLambdaInterchangeLocalImprovementOperator(AlbaLambdaInterchangeLocalImprovementOperator original, Cloner cloner)
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75 | : base(original, cloner) {
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76 | }
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77 | public AlbaLambdaInterchangeLocalImprovementOperator()
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78 | : base() {
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79 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum amount of iterations that should be performed (note that this operator will abort earlier when a local optimum is reached.", new IntValue(10000)));
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80 | Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The amount of evaluated solutions (here a move is counted only as 4/n evaluated solutions with n being the length of the permutation)."));
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81 | Parameters.Add(new LookupParameter<ResultCollection>("Results", "The collection where to store results."));
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82 | Parameters.Add(new LookupParameter<IVRPEncoding>("VRPTours", "The VRP tours to be manipulated."));
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83 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The quality value of the assignment."));
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84 | Parameters.Add(new ValueParameter<IntValue>("Lambda", "The lambda value.", new IntValue(1)));
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85 | Parameters.Add(new ValueParameter<IntValue>("SampleSize", "The number of moves to generate.", new IntValue(2000)));
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86 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
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87 | }
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88 |
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89 | public override IDeepCloneable Clone(Cloner cloner) {
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90 | return new AlbaLambdaInterchangeLocalImprovementOperator(this, cloner);
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91 | }
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92 |
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93 | public static void Apply(AlbaEncoding solution, int maxIterations,
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94 | int lambda, int samples, IRandom random, IVRPProblemInstance problemInstance, ref double quality, out int evaluatedSolutions) {
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95 | evaluatedSolutions = 0;
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96 |
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97 | for (int i = 0; i < maxIterations; i++) {
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98 | AlbaLambdaInterchangeMove bestMove = null;
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99 | foreach (AlbaLambdaInterchangeMove move in AlbaStochasticLambdaInterchangeMultiMoveGenerator.GenerateAllMoves(solution, problemInstance, lambda, samples, random)) {
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100 | AlbaEncoding newSolution = solution.Clone() as AlbaEncoding;
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101 | AlbaLambdaInterchangeMoveMaker.Apply(newSolution, move);
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102 | double moveQuality =
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103 | problemInstance.Evaluate(newSolution).Quality;
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104 |
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105 | evaluatedSolutions++;
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106 | if (moveQuality < quality || quality == -1) {
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107 | quality = moveQuality;
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108 | bestMove = move;
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109 | }
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110 | }
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111 | if (bestMove != null)
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112 | AlbaLambdaInterchangeMoveMaker.Apply(solution, bestMove);
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113 | }
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114 | }
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115 |
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116 | public override IOperation InstrumentedApply() {
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117 | int maxIterations = MaximumIterationsParameter.ActualValue.Value;
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118 | AlbaEncoding solution = null;
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119 |
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120 | if (VRPToursParameter.ActualValue is AlbaEncoding)
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121 | solution = VRPToursParameter.ActualValue as AlbaEncoding;
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122 | else
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123 | VRPToursParameter.ActualValue = solution = AlbaEncoding.ConvertFrom(VRPToursParameter.ActualValue, ProblemInstance);
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124 |
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125 | int lambda = LambdaParameter.Value.Value;
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126 | int samples = SampleSizeParameter.Value.Value;
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127 | IRandom random = RandomParameter.ActualValue;
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128 |
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129 | double quality = QualityParameter.ActualValue.Value;
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130 | int evaluatedSolutions;
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131 |
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132 | Apply(solution, maxIterations, lambda, samples, random, ProblemInstance, ref quality, out evaluatedSolutions);
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133 |
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134 | EvaluatedSolutionsParameter.ActualValue.Value += evaluatedSolutions;
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135 | QualityParameter.ActualValue.Value = quality;
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136 |
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137 | return base.InstrumentedApply();
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138 | }
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139 | }
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140 | }
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