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.Linq;
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24 | using HeuristicLab.Analysis;
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25 | using HeuristicLab.Collections;
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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.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence;
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32 | using HeuristicLab.Random;
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33 |
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34 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.General {
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35 | [Item("BiasedMultiVRPSolutionManipulator", "Randomly selects and applies one of its crossovers every time it is called based on the success progress.")]
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36 | [StorableType("118b236d-7696-4eba-85e5-6826f2ec2d25")]
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37 | public class BiasedMultiVRPSolutionManipulator : MultiVRPSolutionManipulator {
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38 | public ValueLookupParameter<DoubleArray> ActualProbabilitiesParameter {
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39 | get { return (ValueLookupParameter<DoubleArray>)Parameters["ActualProbabilities"]; }
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40 | }
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41 |
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42 | public ValueLookupParameter<StringValue> SuccessProgressAnalyisis {
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43 | get { return (ValueLookupParameter<StringValue>)Parameters["SuccessProgressAnalysis"]; }
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44 | }
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45 |
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46 | public ValueLookupParameter<DoubleValue> Factor {
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47 | get { return (ValueLookupParameter<DoubleValue>)Parameters["Factor"]; }
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48 | }
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49 |
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50 | public ValueParameter<DoubleValue> LowerBoundParameter {
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51 | get { return (ValueParameter<DoubleValue>)Parameters["LowerBound"]; }
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52 | }
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53 |
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54 | public ValueParameter<IntValue> DepthParameter {
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55 | get { return (ValueParameter<IntValue>)Parameters["Depth"]; }
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56 | }
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57 |
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58 | [StorableConstructor]
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59 | protected BiasedMultiVRPSolutionManipulator(StorableConstructorFlag deserializing) : base(deserializing) { }
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60 | protected BiasedMultiVRPSolutionManipulator(BiasedMultiVRPSolutionManipulator original, Cloner cloner) : base(original, cloner) { }
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61 | public BiasedMultiVRPSolutionManipulator()
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62 | : base() {
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63 | Parameters.Add(new ValueLookupParameter<DoubleArray>("ActualProbabilities", "The array of relative probabilities for each operator."));
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64 | Parameters.Add(new ValueLookupParameter<StringValue>("SuccessProgressAnalysis", "The success progress analyisis to be considered",
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65 | new StringValue("ExecutedMutationOperator")));
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66 |
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67 | Parameters.Add(new ValueLookupParameter<DoubleValue>("Factor", "The factor with which the probabilities should be updated", new DoubleValue(0.2)));
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68 | Parameters.Add(new ValueParameter<DoubleValue>("LowerBound", "The depth of the individuals in the scope tree.", new DoubleValue(0.01)));
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69 | Parameters.Add(new ValueParameter<IntValue>("Depth", "The depth of the individuals in the scope tree.", new IntValue(1)));
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70 |
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71 | SelectedOperatorParameter.ActualName = "SelectedManipulationOperator";
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72 | }
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73 |
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74 | public override IDeepCloneable Clone(Cloner cloner) {
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75 | return new BiasedMultiVRPSolutionManipulator(this, cloner);
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76 | }
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77 |
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78 | public override void InitializeState() {
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79 | base.InitializeState();
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80 |
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81 | ActualProbabilitiesParameter.Value = null;
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82 | }
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83 |
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84 | public override IOperation InstrumentedApply() {
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85 | IOperator successor = null;
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86 |
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87 | if (ActualProbabilitiesParameter.ActualValue == null) {
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88 | ActualProbabilitiesParameter.Value = ProbabilitiesParameter.ActualValue.Clone() as DoubleArray;
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89 | } else {
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90 | String key = "SuccessfulOffspringAnalyzer Results";
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91 |
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92 | ResultCollection results = null;
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93 | IScope scope = ExecutionContext.Parent.Scope;
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94 | int depth = 1;
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95 | while (scope != null && depth < DepthParameter.Value.Value) {
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96 | scope = scope.Parent;
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97 | depth++;
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98 | }
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99 | if (scope != null)
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100 | results = scope.Variables["Results"].Value as ResultCollection;
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101 |
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102 | if (results != null && results.ContainsKey(key)) {
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103 | ResultCollection successProgressAnalysisResult = results[key].Value as ResultCollection;
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104 | key = SuccessProgressAnalyisis.Value.Value;
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105 |
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106 | if (successProgressAnalysisResult.ContainsKey(key)) {
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107 | DataTable successProgressAnalysis = successProgressAnalysisResult[key].Value as DataTable;
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108 |
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109 | for (int i = 0; i < Operators.Count; i++) {
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110 | IOperator current = Operators[i];
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111 |
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112 | if (successProgressAnalysis.Rows.ContainsKey(current.Name)) {
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113 | DataRow row = successProgressAnalysis.Rows[current.Name];
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114 |
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115 | double sum = 0.0;
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116 | ObservableList<double> usages = row.Values;
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117 |
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118 | sum += usages.Last();
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119 |
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120 | ActualProbabilitiesParameter.ActualValue[i] += (sum / ActualProbabilitiesParameter.ActualValue[i]) * Factor.Value.Value;
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121 | }
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122 | }
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123 | }
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124 | }
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125 |
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126 | //normalize
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127 | double max = ActualProbabilitiesParameter.ActualValue.Max();
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128 | for (int i = 0; i < ActualProbabilitiesParameter.ActualValue.Length; i++) {
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129 | ActualProbabilitiesParameter.ActualValue[i] /= max;
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130 | ActualProbabilitiesParameter.ActualValue[i] =
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131 | Math.Max(LowerBoundParameter.Value.Value,
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132 | ActualProbabilitiesParameter.ActualValue[i]);
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133 | }
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134 | }
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135 |
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136 | //////////////// code has to be duplicated since ActualProbabilitiesParameter.ActualValue are updated and used for operator selection
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137 | IRandom random = RandomParameter.ActualValue;
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138 | DoubleArray probabilities = ActualProbabilitiesParameter.ActualValue;
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139 | if (probabilities.Length != Operators.Count) {
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140 | throw new InvalidOperationException(Name + ": The list of probabilities has to match the number of operators");
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141 | }
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142 | var checkedOperators = Operators.CheckedItems;
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143 | if (checkedOperators.Count() > 0) {
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144 | // select a random operator from the checked operators
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145 | successor =
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146 | checkedOperators.SampleProportional(random, 1, checkedOperators.Select(x => probabilities[x.Index]), false, false).First().Value;
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147 | }
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148 |
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149 | IOperation successorOp = null;
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150 | if (Successor != null)
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151 | successorOp = ExecutionContext.CreateOperation(Successor);
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152 | OperationCollection next = new OperationCollection(successorOp);
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153 | if (successor != null) {
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154 | SelectedOperatorParameter.ActualValue = new StringValue(successor.Name);
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155 |
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156 | if (CreateChildOperation)
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157 | next.Insert(0, ExecutionContext.CreateChildOperation(successor));
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158 | else next.Insert(0, ExecutionContext.CreateOperation(successor));
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159 | } else {
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160 | SelectedOperatorParameter.ActualValue = new StringValue("");
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161 | }
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162 |
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163 | return next;
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164 | }
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165 | }
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166 | }
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