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;
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23 | using System.Collections.Generic;
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24 | using System.Drawing;
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25 | using System.Linq;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Encodings.PermutationEncoding;
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30 | using HeuristicLab.Optimization;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 | using HeuristicLab.PluginInfrastructure;
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34 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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35 | using HeuristicLab.Problems.VehicleRouting.Parsers;
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36 | using HeuristicLab.Problems.VehicleRouting.ProblemInstances;
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37 | using HeuristicLab.Problems.VehicleRouting.Variants;
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38 | using HeuristicLab.Problems.Instances;
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39 | using System.Reflection;
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40 | using HeuristicLab.Problems.VehicleRouting.Interpreters;
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41 |
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42 | namespace HeuristicLab.Problems.VehicleRouting {
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43 | [Item("Vehicle Routing Problem", "Represents a Vehicle Routing Problem.")]
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44 | [Creatable("Problems")]
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45 | [StorableClass]
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46 | public sealed class VehicleRoutingProblem : ParameterizedNamedItem, ISingleObjectiveHeuristicOptimizationProblem, IStorableContent, IProblemInstanceConsumer<IVRPData> {
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47 | public string Filename { get; set; }
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48 |
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49 | public static new Image StaticItemImage {
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50 | get { return HeuristicLab.Common.Resources.VSImageLibrary.Type; }
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51 | }
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52 |
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53 | #region Parameter Properties
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54 | public ValueParameter<BoolValue> MaximizationParameter {
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55 | get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
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56 | }
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57 | IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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58 | get { return MaximizationParameter; }
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59 | }
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60 | public ValueParameter<IVRPProblemInstance> ProblemInstanceParameter {
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61 | get { return (ValueParameter<IVRPProblemInstance>)Parameters["ProblemInstance"]; }
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62 | }
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63 | public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
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64 | get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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65 | }
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66 | IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
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67 | get { return BestKnownQualityParameter; }
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68 | }
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69 | public OptionalValueParameter<VRPSolution> BestKnownSolutionParameter {
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70 | get { return (OptionalValueParameter<VRPSolution>)Parameters["BestKnownSolution"]; }
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71 | }
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72 | public IValueParameter<IVRPCreator> SolutionCreatorParameter {
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73 | get { return (IValueParameter<IVRPCreator>)Parameters["SolutionCreator"]; }
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74 | }
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75 | IParameter IHeuristicOptimizationProblem.SolutionCreatorParameter {
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76 | get { return SolutionCreatorParameter; }
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77 | }
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78 | public IValueParameter<IVRPEvaluator> EvaluatorParameter {
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79 | get { return (IValueParameter<IVRPEvaluator>)Parameters["Evaluator"]; }
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80 | }
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81 | IParameter IHeuristicOptimizationProblem.EvaluatorParameter {
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82 | get { return EvaluatorParameter; }
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83 | }
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84 | #endregion
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85 |
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86 | #region Properties
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87 | public IVRPProblemInstance ProblemInstance {
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88 | get { return ProblemInstanceParameter.Value; }
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89 | set { ProblemInstanceParameter.Value = value; }
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90 | }
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91 |
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92 | public VRPSolution BestKnownSolution {
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93 | get { return BestKnownSolutionParameter.Value; }
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94 | set { BestKnownSolutionParameter.Value = value; }
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95 | }
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96 |
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97 | public DoubleValue BestKnownQuality {
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98 | get { return BestKnownQualityParameter.Value; }
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99 | set { BestKnownQualityParameter.Value = value; }
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100 | }
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101 |
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102 | public ISingleObjectiveEvaluator Evaluator {
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103 | get { return EvaluatorParameter.Value; }
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104 | }
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105 |
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106 | IEvaluator IHeuristicOptimizationProblem.Evaluator {
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107 | get { return this.Evaluator; }
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108 | }
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109 |
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110 | public ISolutionCreator SolutionCreator {
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111 | get { return SolutionCreatorParameter.Value; }
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112 | }
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113 |
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114 | [Storable]
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115 | private List<IOperator> operators;
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116 |
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117 | public IEnumerable<IOperator> Operators {
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118 | get { return operators; }
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119 | }
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120 | #endregion
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121 |
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122 | [StorableConstructor]
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123 | private VehicleRoutingProblem(bool deserializing) : base(deserializing) { }
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124 | public VehicleRoutingProblem()
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125 | : base() {
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126 | Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the Vehicle Routing Problem is a minimization problem.", new BoolValue(false)));
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127 | Parameters.Add(new ValueParameter<IVRPProblemInstance>("ProblemInstance", "The VRP problem instance"));
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128 | Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The quality of the best known solution of this VRP instance."));
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129 | Parameters.Add(new OptionalValueParameter<VRPSolution>("BestKnownSolution", "The best known solution of this VRP instance."));
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130 |
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131 | Parameters.Add(new ConstrainedValueParameter<IVRPCreator>("SolutionCreator", "The operator which should be used to create new VRP solutions."));
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132 | Parameters.Add(new ValueParameter<IVRPEvaluator>("Evaluator", "The operator which should be used to evaluate VRP solutions."));
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133 |
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134 | EvaluatorParameter.Hidden = true;
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135 |
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136 | operators = new List<IOperator>();
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137 |
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138 | InitializeRandomVRPInstance();
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139 | InitializeOperators();
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140 |
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141 | AttachEventHandlers();
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142 | AttachProblemInstanceEventHandlers();
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143 | }
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144 |
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145 | public override IDeepCloneable Clone(Cloner cloner) {
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146 | return new VehicleRoutingProblem(this, cloner);
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147 | }
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148 |
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149 | private VehicleRoutingProblem(VehicleRoutingProblem original, Cloner cloner)
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150 | : base(original, cloner) {
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151 | this.operators = original.operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
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152 | this.AttachEventHandlers();
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153 | }
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154 |
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155 | #region Events
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156 | public event EventHandler SolutionCreatorChanged;
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157 | private void OnSolutionCreatorChanged() {
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158 | EventHandler handler = SolutionCreatorChanged;
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159 | if (handler != null) handler(this, EventArgs.Empty);
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160 | }
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161 | public event EventHandler EvaluatorChanged;
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162 | private void OnEvaluatorChanged() {
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163 | EventHandler handler = EvaluatorChanged;
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164 | if (handler != null) handler(this, EventArgs.Empty);
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165 | }
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166 | public event EventHandler OperatorsChanged;
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167 | private void OnOperatorsChanged() {
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168 | EventHandler handler = OperatorsChanged;
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169 | if (handler != null) handler(this, EventArgs.Empty);
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170 | }
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171 | public event EventHandler Reset;
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172 | private void OnReset() {
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173 | EventHandler handler = Reset;
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174 | if (handler != null) handler(this, EventArgs.Empty);
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175 | }
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176 | #endregion
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177 |
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178 | #region Helpers
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179 | [StorableHook(HookType.AfterDeserialization)]
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180 | private void AfterDeserializationHook() {
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181 | AttachEventHandlers();
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182 | AttachProblemInstanceEventHandlers();
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183 | }
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184 |
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185 | private void AttachEventHandlers() {
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186 | ProblemInstanceParameter.ValueChanged += new EventHandler(ProblemInstanceParameter_ValueChanged);
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187 | BestKnownSolutionParameter.ValueChanged += new EventHandler(BestKnownSolutionParameter_ValueChanged);
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188 | }
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189 |
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190 | private void AttachProblemInstanceEventHandlers() {
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191 | var solutionCreatorParameter = SolutionCreatorParameter as ConstrainedValueParameter<IVRPCreator>;
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192 | solutionCreatorParameter.ValidValues.Clear();
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193 |
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194 | if (ProblemInstance != null) {
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195 | EvaluatorParameter.Value = ProblemInstance.SolutionEvaluator;
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196 | foreach (IVRPCreator creator in operators.Where(o => o is IVRPCreator)) {
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197 | solutionCreatorParameter.ValidValues.Add(creator);
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198 | }
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199 | ProblemInstance.EvaluationChanged += new EventHandler(ProblemInstance_EvaluationChanged);
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200 | }
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201 | }
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202 |
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203 | private void EvalBestKnownSolution() {
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204 | if (BestKnownSolution != null) {
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205 | //call evaluator
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206 | BestKnownQuality = new DoubleValue(ProblemInstance.Evaluate(BestKnownSolution.Solution).Quality);
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207 | BestKnownSolution.Quality = BestKnownQuality;
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208 | } else {
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209 | BestKnownQuality = null;
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210 | }
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211 | }
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212 |
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213 | void BestKnownSolutionParameter_ValueChanged(object sender, EventArgs e) {
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214 | EvalBestKnownSolution();
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215 | }
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216 |
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217 | void ProblemInstance_EvaluationChanged(object sender, EventArgs e) {
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218 | EvalBestKnownSolution();
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219 | }
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220 |
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221 | void ProblemInstanceParameter_ValueChanged(object sender, EventArgs e) {
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222 | InitializeOperators();
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223 | AttachProblemInstanceEventHandlers();
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224 |
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225 | OnSolutionCreatorChanged();
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226 | OnEvaluatorChanged();
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227 | OnOperatorsChanged();
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228 | }
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229 |
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230 | public void SetProblemInstance(IVRPProblemInstance instance) {
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231 | ProblemInstanceParameter.ValueChanged -= new EventHandler(ProblemInstanceParameter_ValueChanged);
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232 |
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233 | ProblemInstance = instance;
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234 | AttachProblemInstanceEventHandlers();
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235 |
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236 | OnSolutionCreatorChanged();
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237 | OnEvaluatorChanged();
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238 |
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239 | ProblemInstanceParameter.ValueChanged += new EventHandler(ProblemInstanceParameter_ValueChanged);
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240 | }
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241 |
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242 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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243 | ParameterizeSolutionCreator();
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244 |
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245 | OnSolutionCreatorChanged();
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246 | }
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247 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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248 | OnEvaluatorChanged();
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249 | }
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250 |
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251 | private void InitializeOperators() {
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252 | operators = new List<IOperator>();
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253 |
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254 | if (ProblemInstance != null) {
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255 | operators.AddRange(
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256 | ProblemInstance.Operators.Concat(
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257 | ApplicationManager.Manager.GetInstances<IGeneralVRPOperator>().Cast<IOperator>()).OrderBy(op => op.Name));
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258 | }
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259 |
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260 | ParameterizeOperators();
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261 | }
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262 |
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263 | private void ParameterizeSolutionCreator() {
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264 | if (SolutionCreator is IMultiVRPOperator) {
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265 | (SolutionCreator as IMultiVRPOperator).SetOperators(Operators);
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266 | }
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267 | }
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268 |
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269 | private void ParameterizeOperators() {
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270 | foreach (IOperator op in Operators) {
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271 | if (op is IMultiVRPOperator) {
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272 | (op as IMultiVRPOperator).SetOperators(Operators);
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273 | }
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274 | }
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275 | }
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276 | #endregion
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277 |
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278 | public void ImportFromCordeau(string cordeauFileName) {
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279 | CordeauParser parser = new CordeauParser(cordeauFileName);
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280 | parser.Parse();
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281 |
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282 | this.Name = parser.ProblemName;
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283 | MDCVRPTWProblemInstance problem = new MDCVRPTWProblemInstance();
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284 |
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285 | problem.Coordinates = new DoubleMatrix(parser.Coordinates);
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286 | problem.Vehicles.Value = parser.Vehicles;
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287 | problem.Capacity = new DoubleArray(parser.Capacity);
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288 | problem.Demand = new DoubleArray(parser.Demands);
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289 | problem.Depots.Value = parser.Depots;
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290 | problem.VehicleDepotAssignment = new IntArray(parser.Vehicles);
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291 | problem.ReadyTime = new DoubleArray(parser.Readytimes);
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292 | problem.ServiceTime = new DoubleArray(parser.Servicetimes);
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293 | problem.DueTime = new DoubleArray(parser.Duetimes);
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294 |
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295 | int depot = 0;
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296 | int i = 0;
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297 | while(i < parser.Vehicles) {
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298 | problem.VehicleDepotAssignment[i] = depot;
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299 |
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300 | i++;
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301 | if (i % (parser.Vehicles / parser.Depots) == 0)
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302 | depot++;
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303 | }
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304 |
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305 | this.ProblemInstance = problem;
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306 |
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307 | OnReset();
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308 | }
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309 |
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310 | public void ImportFromLiLim(string liLimFileName) {
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311 | LiLimParser parser = new LiLimParser(liLimFileName);
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312 | parser.Parse();
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313 |
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314 | this.Name = parser.ProblemName;
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315 | CVRPPDTWProblemInstance problem = new CVRPPDTWProblemInstance();
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316 |
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317 | problem.Coordinates = new DoubleMatrix(parser.Coordinates);
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318 | problem.Vehicles.Value = parser.Vehicles;
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319 | problem.Capacity.Value = parser.Capacity;
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320 | problem.Demand = new DoubleArray(parser.Demands);
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321 | problem.ReadyTime = new DoubleArray(parser.Readytimes);
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322 | problem.DueTime = new DoubleArray(parser.Duetimes);
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323 | problem.ServiceTime = new DoubleArray(parser.Servicetimes);
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324 | problem.PickupDeliveryLocation = new IntArray(parser.PickupDeliveryLocations);
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325 |
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326 | this.ProblemInstance = problem;
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327 |
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328 | OnReset();
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329 | }
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330 |
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331 | public void ImportFromSolomon(string solomonFileName) {
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332 | SolomonParser parser = new SolomonParser(solomonFileName);
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333 | parser.Parse();
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334 |
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335 | this.Name = parser.ProblemName;
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336 | CVRPTWProblemInstance problem = new CVRPTWProblemInstance();
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337 |
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338 | problem.Coordinates = new DoubleMatrix(parser.Coordinates);
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339 | problem.Vehicles.Value = parser.Vehicles;
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340 | problem.Capacity.Value = parser.Capacity;
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341 | problem.Demand = new DoubleArray(parser.Demands);
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342 | problem.ReadyTime = new DoubleArray(parser.Readytimes);
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343 | problem.DueTime = new DoubleArray(parser.Duetimes);
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344 | problem.ServiceTime = new DoubleArray(parser.Servicetimes);
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345 |
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346 | this.ProblemInstance = problem;
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347 |
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348 | OnReset();
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349 | }
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350 |
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351 | public void ImportFromTSPLib(string tspFileName) {
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352 | TSPLIBParser parser = new TSPLIBParser(tspFileName);
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353 | parser.Parse();
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354 |
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355 | this.Name = parser.Name;
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356 | int problemSize = parser.Demands.Length;
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357 |
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358 | if (parser.Depot != 1) {
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359 | ErrorHandling.ShowErrorDialog(new Exception("Invalid depot specification"));
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360 | return;
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361 | }
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362 |
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363 | if (parser.WeightType != TSPLIBParser.TSPLIBEdgeWeightType.EUC_2D) {
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364 | ErrorHandling.ShowErrorDialog(new Exception("Invalid weight type"));
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365 | return;
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366 | }
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367 |
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368 | CVRPTWProblemInstance problem = new CVRPTWProblemInstance();
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369 | problem.Coordinates = new DoubleMatrix(parser.Vertices);
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370 | if (parser.Vehicles != -1)
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371 | problem.Vehicles.Value = parser.Vehicles;
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372 | else
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373 | problem.Vehicles.Value = problemSize - 1;
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374 | problem.Capacity.Value = parser.Capacity;
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375 | problem.Demand = new DoubleArray(parser.Demands);
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376 | problem.ReadyTime = new DoubleArray(problemSize);
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377 | problem.DueTime = new DoubleArray(problemSize);
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378 | problem.ServiceTime = new DoubleArray(problemSize);
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379 |
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380 | for (int i = 0; i < problemSize; i++) {
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381 | problem.ReadyTime[i] = 0;
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382 | problem.DueTime[i] = int.MaxValue;
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383 | problem.ServiceTime[i] = 0;
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384 | }
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385 |
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386 | if (parser.Distance != -1) {
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387 | problem.DueTime[0] = parser.Distance;
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388 | }
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389 |
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390 | this.ProblemInstance = problem;
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391 |
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392 | OnReset();
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393 | }
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394 |
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395 | public void ImportFromORLib(string orFileName) {
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396 | ORLIBParser parser = new ORLIBParser(orFileName);
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397 | parser.Parse();
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398 |
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399 | this.Name = parser.Name;
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400 | int problemSize = parser.Demands.Length;
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401 |
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402 | CVRPProblemInstance problem = new CVRPProblemInstance();
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403 |
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404 | problem.Coordinates = new DoubleMatrix(parser.Vertices);
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405 | problem.Vehicles.Value = problemSize - 1;
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406 | problem.Capacity.Value = parser.Capacity;
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407 | problem.Demand = new DoubleArray(parser.Demands);
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408 |
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409 | this.ProblemInstance = problem;
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410 |
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411 | OnReset();
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412 | }
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413 |
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414 | private void InitializeRandomVRPInstance() {
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415 | System.Random rand = new System.Random();
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416 |
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417 | CVRPTWProblemInstance problem = new CVRPTWProblemInstance();
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418 | int cities = 100;
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419 |
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420 | problem.Coordinates = new DoubleMatrix(cities + 1, 2);
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421 | problem.Demand = new DoubleArray(cities + 1);
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422 | problem.DueTime = new DoubleArray(cities + 1);
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423 | problem.ReadyTime = new DoubleArray(cities + 1);
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424 | problem.ServiceTime = new DoubleArray(cities + 1);
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425 |
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426 | problem.Vehicles.Value = 100;
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427 | problem.Capacity.Value = 200;
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428 |
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429 | for (int i = 0; i <= cities; i++) {
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430 | problem.Coordinates[i, 0] = rand.Next(0, 100);
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431 | problem.Coordinates[i, 1] = rand.Next(0, 100);
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432 |
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433 | if (i == 0) {
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434 | problem.Demand[i] = 0;
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435 | problem.DueTime[i] = Int16.MaxValue;
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436 | problem.ReadyTime[i] = 0;
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437 | problem.ServiceTime[i] = 0;
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438 | } else {
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439 | problem.Demand[i] = rand.Next(10, 50);
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440 | problem.DueTime[i] = rand.Next((int)Math.Ceiling(problem.GetDistance(0, i, null)), 1200);
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441 | problem.ReadyTime[i] = problem.DueTime[i] - rand.Next(0, 100);
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442 | problem.ServiceTime[i] = 90;
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443 | }
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444 | }
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445 |
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446 | this.ProblemInstance = problem;
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447 | }
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448 |
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449 | public void ImportSolution(string solutionFileName) {
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450 | SolutionParser parser = new SolutionParser(solutionFileName);
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451 | parser.Parse();
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452 |
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453 | HeuristicLab.Problems.VehicleRouting.Encodings.Potvin.PotvinEncoding encoding = new Encodings.Potvin.PotvinEncoding(ProblemInstance);
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454 |
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455 | int cities = 0;
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456 | foreach (List<int> route in parser.Routes) {
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457 | Tour tour = new Tour();
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458 | tour.Stops.AddRange(route);
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459 | cities += tour.Stops.Count;
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460 |
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461 | encoding.Tours.Add(tour);
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462 | }
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463 |
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464 | if (cities != ProblemInstance.Coordinates.Rows - 1)
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465 | ErrorHandling.ShowErrorDialog(new Exception("The optimal solution does not seem to correspond with the problem data"));
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466 | else {
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467 | VRPSolution solution = new VRPSolution(ProblemInstance, encoding, new DoubleValue(0));
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468 | BestKnownSolutionParameter.Value = solution;
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469 | }
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470 | }
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471 |
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472 | public void Load(IVRPData data) {
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473 | Type interpreterType = typeof(IVRPDataInterpreter<>).MakeGenericType(data.GetType());
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474 | var interpreters = ApplicationManager.Manager.GetInstances(interpreterType);
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475 | if (interpreters.Count() > 0) {
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476 | IVRPDataInterpreter interpreter = interpreters.First() as IVRPDataInterpreter;
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477 | VRPInstanceDescription instance = interpreter.Interpret(data);
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478 |
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479 | Name = instance.Name;
|
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480 | Description = instance.Description;
|
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481 | ProblemInstance = instance.ProblemInstance;
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482 |
|
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483 | OnReset();
|
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484 |
|
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485 | if (instance.BestKnownQuality != null) {
|
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486 | BestKnownQuality = new DoubleValue((double)instance.BestKnownQuality);
|
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487 | }
|
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488 |
|
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489 | if (instance.BestKnownSolution != null) {
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490 | VRPSolution solution = new VRPSolution(ProblemInstance, instance.BestKnownSolution, new DoubleValue(0));
|
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491 | BestKnownSolutionParameter.Value = solution;
|
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492 | }
|
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493 | } else {
|
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494 | throw new Exception("Cannot find an interpreter for " + data.GetType());
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495 | }
|
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496 | }
|
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497 | }
|
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498 | }
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