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.Linq;
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23 | using HeuristicLab.Core;
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24 | using HeuristicLab.Data;
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25 | using HeuristicLab.Operators;
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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.Interfaces;
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30 | using HeuristicLab.Problems.VehicleRouting.Variants;
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31 | using HeuristicLab.Common;
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32 |
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33 | namespace HeuristicLab.Problems.VehicleRouting {
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34 | /// <summary>
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35 | /// An operator for analyzing the best solution of Vehicle Routing Problems.
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36 | /// </summary>
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37 | [Item("BestVRPSolutionAnalyzer", "An operator for analyzing the best solution of Vehicle Routing Problems.")]
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38 | [StorableClass]
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39 | public sealed class BestVRPSolutionAnalyzer : SingleSuccessorOperator, IAnalyzer, IGeneralVRPOperator {
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40 | public ILookupParameter<IVRPProblemInstance> ProblemInstanceParameter {
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41 | get { return (ILookupParameter<IVRPProblemInstance>)Parameters["ProblemInstance"]; }
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42 | }
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43 | public ScopeTreeLookupParameter<IVRPEncoding> VRPToursParameter {
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44 | get { return (ScopeTreeLookupParameter<IVRPEncoding>)Parameters["VRPTours"]; }
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45 | }
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46 |
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47 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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48 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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49 | }
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50 | public ScopeTreeLookupParameter<DoubleValue> DistanceParameter {
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51 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Distance"]; }
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52 | }
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53 | public ScopeTreeLookupParameter<DoubleValue> VehiclesUtilizedParameter {
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54 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["VehiclesUtilized"]; }
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55 | }
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56 |
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57 | public LookupParameter<VRPSolution> BestSolutionParameter {
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58 | get { return (LookupParameter<VRPSolution>)Parameters["BestSolution"]; }
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59 | }
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60 | public LookupParameter<VRPSolution> BestValidSolutionParameter {
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61 | get { return (LookupParameter<VRPSolution>)Parameters["BestValidSolution"]; }
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62 | }
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63 | public ValueLookupParameter<ResultCollection> ResultsParameter {
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64 | get { return (ValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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65 | }
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66 |
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67 | public LookupParameter<DoubleValue> BestKnownQualityParameter {
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68 | get { return (LookupParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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69 | }
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70 | public LookupParameter<VRPSolution> BestKnownSolutionParameter {
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71 | get { return (LookupParameter<VRPSolution>)Parameters["BestKnownSolution"]; }
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72 | }
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73 |
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74 | public bool EnabledByDefault {
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75 | get { return true; }
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76 | }
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77 |
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78 | [StorableConstructor]
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79 | private BestVRPSolutionAnalyzer(bool deserializing) : base(deserializing) { }
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80 |
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81 | public BestVRPSolutionAnalyzer()
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82 | : base() {
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83 | Parameters.Add(new LookupParameter<IVRPProblemInstance>("ProblemInstance", "The problem instance."));
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84 | Parameters.Add(new ScopeTreeLookupParameter<IVRPEncoding>("VRPTours", "The VRP tours which should be evaluated."));
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85 |
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86 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this VRP instance."));
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87 | Parameters.Add(new LookupParameter<VRPSolution>("BestKnownSolution", "The best known solution of this VRP instance."));
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88 |
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89 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The qualities of the VRP solutions which should be analyzed."));
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90 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Distance", "The distances of the VRP solutions which should be analyzed."));
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91 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("VehiclesUtilized", "The utilized vehicles of the VRP solutions which should be analyzed."));
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92 |
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93 | Parameters.Add(new LookupParameter<VRPSolution>("BestSolution", "The best VRP solution."));
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94 | Parameters.Add(new LookupParameter<VRPSolution>("BestValidSolution", "The best valid VRP solution."));
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95 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the best VRP solution should be stored."));
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96 | }
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97 |
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98 | public override IDeepCloneable Clone(Cloner cloner) {
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99 | return new BestVRPSolutionAnalyzer(this, cloner);
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100 | }
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101 |
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102 | private BestVRPSolutionAnalyzer(BestVRPSolutionAnalyzer original, Cloner cloner)
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103 | : base(original, cloner) {
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104 | }
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105 |
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106 | [StorableHook(HookType.AfterDeserialization)]
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107 | private void AfterDeserializationHook() {
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108 | #region Backwards Compatibility
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109 | if (!Parameters.ContainsKey("BestKnownQuality")) {
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110 | Parameters.Add(new LookupParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this VRP instance."));
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111 | }
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112 | if (!Parameters.ContainsKey("BestKnownSolution")) {
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113 | Parameters.Add(new LookupParameter<VRPSolution>("BestKnownSolution", "The best known solution of this VRP instance."));
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114 | }
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115 | #endregion
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116 | }
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117 |
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118 | public override IOperation Apply() {
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119 | IVRPProblemInstance problemInstance = ProblemInstanceParameter.ActualValue;
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120 | ItemArray<IVRPEncoding> solutions = VRPToursParameter.ActualValue;
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121 | ResultCollection results = ResultsParameter.ActualValue;
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122 |
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123 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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124 | ItemArray<DoubleValue> distances = DistanceParameter.ActualValue;
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125 | ItemArray<DoubleValue> vehiclesUtilizations = VehiclesUtilizedParameter.ActualValue;
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126 |
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127 | int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
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128 |
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129 | DoubleValue bestKnownQuality = BestKnownQualityParameter.ActualValue;
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130 |
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131 | IVRPEncoding best = solutions[i].Clone() as IVRPEncoding;
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132 | VRPSolution solution = BestSolutionParameter.ActualValue;
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133 | if (solution == null) {
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134 | solution = new VRPSolution(problemInstance, best.Clone() as IVRPEncoding, new DoubleValue(qualities[i].Value));
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135 | BestSolutionParameter.ActualValue = solution;
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136 | results.Add(new Result("Best VRP Solution", solution));
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137 |
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138 | results.Add(new Result("Best VRP Solution Distance", new DoubleValue(distances[i].Value)));
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139 | results.Add(new Result("Best VRP Solution VehicleUtilization", new DoubleValue(vehiclesUtilizations[i].Value)));
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140 | } else {
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141 | if (qualities[i].Value <= solution.Quality.Value) {
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142 | solution.ProblemInstance = problemInstance;
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143 | solution.Solution = best.Clone() as IVRPEncoding;
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144 | solution.Quality.Value = qualities[i].Value;
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145 | (results["Best VRP Solution Distance"].Value as DoubleValue).Value = distances[i].Value;
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146 | (results["Best VRP Solution VehicleUtilization"].Value as DoubleValue).Value = vehiclesUtilizations[i].Value;
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147 | }
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148 | }
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149 |
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150 | VRPSolution validSolution = BestValidSolutionParameter.ActualValue;
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151 | if (validSolution == null) {
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152 | if (ProblemInstanceParameter.ActualValue.Feasible(best)) {
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153 | validSolution = new VRPSolution(problemInstance, best.Clone() as IVRPEncoding, new DoubleValue(qualities[i].Value));
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154 | BestValidSolutionParameter.ActualValue = validSolution;
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155 | if (results.ContainsKey("Best valid VRP Solution"))
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156 | results["Best valid VRP Solution"].Value = validSolution;
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157 | else
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158 | results.Add(new Result("Best valid VRP Solution", validSolution));
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159 |
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160 | results.Add(new Result("Best valid VRP Solution Distance", new DoubleValue(distances[i].Value)));
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161 | results.Add(new Result("Best valid VRP Solution VehicleUtilization", new DoubleValue(vehiclesUtilizations[i].Value)));
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162 | }
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163 | } else {
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164 | if (qualities[i].Value <= validSolution.Quality.Value) {
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165 | if (ProblemInstanceParameter.ActualValue.Feasible(best)) {
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166 | validSolution.ProblemInstance = problemInstance;
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167 | validSolution.Solution = best.Clone() as IVRPEncoding;
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168 | validSolution.Quality.Value = qualities[i].Value;
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169 | (results["Best valid VRP Solution Distance"].Value as DoubleValue).Value = distances[i].Value;
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170 | (results["Best valid VRP Solution VehicleUtilization"].Value as DoubleValue).Value = vehiclesUtilizations[i].Value;
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171 | }
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172 | }
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173 | }
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174 |
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175 | if (bestKnownQuality == null ||
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176 | qualities[i].Value < bestKnownQuality.Value) {
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177 | BestKnownQualityParameter.ActualValue = new DoubleValue(qualities[i].Value);
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178 | BestKnownSolutionParameter.ActualValue = (VRPSolution)solution.Clone();
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179 | }
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180 |
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181 | return base.Apply();
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182 | }
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183 | }
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184 | }
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