1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2011 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Linq;
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24 | using HeuristicLab.Analysis;
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25 | using HeuristicLab.Common;
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26 | using HeuristicLab.Core;
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27 | using HeuristicLab.Data;
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28 | using HeuristicLab.Operators;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Optimization.Operators;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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33 |
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34 | namespace HeuristicLab.Algorithms.LocalSearch {
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35 | /// <summary>
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36 | /// A local search improvement operator.
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37 | /// </summary>
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38 | [Item("LocalSearchImprovementOperator", "A local search improvement operator.")]
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39 | [StorableClass]
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40 | public sealed class LocalSearchImprovementOperator : SingleSuccessorOperator, ILocalImprovementOperator, IStochasticOperator {
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41 | #region IGenericLocalImprovementOperator Properties
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42 | public Type ProblemType { get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); } }
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43 | public IProblem Problem {
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44 | get { return problem; }
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45 | set {
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46 | if (problem != value) {
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47 | if (value != null && !(value is ISingleObjectiveHeuristicOptimizationProblem))
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48 | throw new ArgumentException("Only problems of type " + ProblemType.ToString() + " can be assigned.");
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49 | if (problem != null) DeregisterProblemEventHandlers();
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50 | problem = (ISingleObjectiveHeuristicOptimizationProblem)value;
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51 | if (problem != null) RegisterProblemEventHandlers();
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52 | UpdateProblem();
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53 | }
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54 | }
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55 | }
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56 | #endregion
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57 |
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58 | [Storable]
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59 | private ISingleObjectiveHeuristicOptimizationProblem problem;
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60 | [Storable]
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61 | private LocalSearchMainLoop loop;
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62 | [Storable]
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63 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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64 |
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65 | #region Parameter Properties
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66 | public ConstrainedValueParameter<IMoveGenerator> MoveGeneratorParameter {
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67 | get { return (ConstrainedValueParameter<IMoveGenerator>)Parameters["MoveGenerator"]; }
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68 | }
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69 | public ConstrainedValueParameter<IMoveMaker> MoveMakerParameter {
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70 | get { return (ConstrainedValueParameter<IMoveMaker>)Parameters["MoveMaker"]; }
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71 | }
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72 | public ConstrainedValueParameter<ISingleObjectiveMoveEvaluator> MoveEvaluatorParameter {
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73 | get { return (ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>)Parameters["MoveEvaluator"]; }
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74 | }
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75 | public IValueLookupParameter<IntValue> SampleSizeParameter {
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76 | get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
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77 | }
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78 | public ValueParameter<MultiAnalyzer> AnalyzerParameter {
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79 | get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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80 | }
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81 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
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82 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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83 | }
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84 | public ILookupParameter<IRandom> RandomParameter {
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85 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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86 | }
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87 | #region ILocalImprovementOperator Parameters
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88 | public IValueLookupParameter<IntValue> MaximumIterationsParameter {
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89 | get { return (IValueLookupParameter<IntValue>)Parameters["MaximumIterations"]; }
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90 | }
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91 | public ILookupParameter<IntValue> EvaluatedSolutionsParameter {
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92 | get { return (ILookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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93 | }
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94 | public ILookupParameter<ResultCollection> ResultsParameter {
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95 | get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
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96 | }
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97 | #endregion
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98 | #endregion
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99 |
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100 | #region Properties
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101 | public IMoveGenerator MoveGenerator {
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102 | get { return MoveGeneratorParameter.Value; }
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103 | set { MoveGeneratorParameter.Value = value; }
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104 | }
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105 | public IMoveMaker MoveMaker {
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106 | get { return MoveMakerParameter.Value; }
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107 | set { MoveMakerParameter.Value = value; }
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108 | }
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109 | public ISingleObjectiveMoveEvaluator MoveEvaluator {
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110 | get { return MoveEvaluatorParameter.Value; }
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111 | set { MoveEvaluatorParameter.Value = value; }
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112 | }
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113 | public MultiAnalyzer Analyzer {
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114 | get { return AnalyzerParameter.Value; }
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115 | set { AnalyzerParameter.Value = value; }
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116 | }
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117 | #endregion
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118 |
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119 | [StorableConstructor]
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120 | private LocalSearchImprovementOperator(bool deserializing) : base(deserializing) { }
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121 | private LocalSearchImprovementOperator(LocalSearchImprovementOperator original, Cloner cloner)
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122 | : base(original, cloner) {
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123 | this.loop = cloner.Clone(original.loop);
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124 | this.qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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125 | this.problem = cloner.Clone(original.problem);
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126 | RegisterEventHandlers();
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127 | }
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128 | public LocalSearchImprovementOperator()
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129 | : base() {
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130 | Parameters.Add(new ConstrainedValueParameter<IMoveGenerator>("MoveGenerator", "The operator used to generate moves to the neighborhood of the current solution."));
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131 | Parameters.Add(new ConstrainedValueParameter<IMoveMaker>("MoveMaker", "The operator used to perform a move."));
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132 | Parameters.Add(new ConstrainedValueParameter<ISingleObjectiveMoveEvaluator>("MoveEvaluator", "The operator used to evaluate a move."));
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133 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumIterations", "The maximum number of generations which should be processed.", new IntValue(150)));
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134 | Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "Number of moves that MultiMoveGenerators should create. This is ignored for Exhaustive- and SingleMoveGenerators.", new IntValue(300)));
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135 | Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions", "The number of evaluated moves."));
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136 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the solution.", new MultiAnalyzer()));
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137 | Parameters.Add(new LookupParameter<ResultCollection>("Results", "The name of the collection where the results are stored."));
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138 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The quality/fitness value of a solution."));
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139 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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140 |
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141 | loop = new LocalSearchMainLoop();
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142 | ((ResultsCollector)((SingleSuccessorOperator)loop.OperatorGraph.InitialOperator).Successor).CollectedValues.Remove(loop.BestLocalQualityParameter.Name);
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143 | ParameterizeLSMainLoop();
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144 |
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145 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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146 | Analyzer.Operators.Add(qualityAnalyzer);
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147 |
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148 | RegisterEventHandlers();
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149 | }
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150 |
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151 | public override IDeepCloneable Clone(Cloner cloner) {
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152 | return new LocalSearchImprovementOperator(this, cloner);
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153 | }
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154 |
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155 | [StorableHook(HookType.AfterDeserialization)]
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156 | private void AfterDeserialization() {
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157 | RegisterEventHandlers();
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158 | }
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159 |
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160 | #region Event Handler Registration
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161 | private void RegisterEventHandlers() {
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162 | MoveGeneratorParameter.ValueChanged += new EventHandler(MoveGeneratorParameter_ValueChanged);
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163 | if (problem != null)
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164 | RegisterProblemEventHandlers();
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165 | }
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166 |
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167 | private void RegisterProblemEventHandlers() {
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168 | problem.Reset += new EventHandler(problem_Reset);
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169 | problem.OperatorsChanged += new EventHandler(problem_OperatorsChanged);
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170 | }
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171 |
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172 | private void DeregisterProblemEventHandlers() {
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173 | problem.Reset -= new EventHandler(problem_Reset);
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174 | problem.OperatorsChanged -= new EventHandler(problem_OperatorsChanged);
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175 | }
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176 | #endregion
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177 |
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178 | #region Event Handlers
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179 | private void MoveGeneratorParameter_ValueChanged(object sender, EventArgs e) {
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180 | ChooseMoveOperators();
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181 | ParameterizeLSMainLoop();
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182 | }
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183 |
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184 | private void problem_Reset(object sender, EventArgs e) {
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185 | UpdateProblem();
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186 | }
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187 |
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188 | private void problem_OperatorsChanged(object sender, EventArgs e) {
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189 | UpdateProblem();
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190 | }
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191 | #endregion
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192 |
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193 | #region Parameterize and Update Methods
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194 | private void UpdateProblem() {
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195 | UpdateMoveOperators();
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196 | ChooseMoveOperators();
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197 |
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198 | ParameterizeMoveGenerators();
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199 |
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200 | ParameterizeLSMainLoop();
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201 | ParameterizeAnalyzers();
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202 | UpdateAnalyzers();
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203 | }
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204 |
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205 | private void ParameterizeLSMainLoop() {
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206 | loop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
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207 | loop.BestLocalQualityParameter.ActualName = QualityParameter.Name;
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208 | loop.EvaluatedMovesParameter.ActualName = EvaluatedSolutionsParameter.Name;
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209 | loop.IterationsParameter.ActualName = "LocalIterations";
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210 | loop.MaximumIterationsParameter.ActualName = MaximumIterationsParameter.Name;
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211 | loop.MoveEvaluatorParameter.ActualName = MoveEvaluatorParameter.Name;
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212 | loop.MoveGeneratorParameter.ActualName = MoveGeneratorParameter.Name;
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213 | loop.MoveMakerParameter.ActualName = MoveMakerParameter.Name;
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214 | loop.QualityParameter.ActualName = QualityParameter.Name;
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215 | loop.RandomParameter.ActualName = RandomParameter.Name;
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216 | loop.ResultsParameter.ActualName = ResultsParameter.Name;
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217 |
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218 | if (problem != null) {
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219 | loop.BestKnownQualityParameter.ActualName = problem.BestKnownQualityParameter.Name;
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220 | loop.MaximizationParameter.ActualName = problem.MaximizationParameter.Name;
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221 | }
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222 | if (MoveEvaluator != null) {
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223 | loop.MoveQualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
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224 | }
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225 | }
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226 |
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227 | private void ParameterizeAnalyzers() {
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228 | qualityAnalyzer.ResultsParameter.ActualName = ResultsParameter.Name;
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229 | if (problem != null) {
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230 | qualityAnalyzer.MaximizationParameter.ActualName = problem.MaximizationParameter.Name;
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231 | if (MoveEvaluator != null)
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232 | qualityAnalyzer.QualityParameter.ActualName = MoveEvaluator.MoveQualityParameter.ActualName;
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233 | qualityAnalyzer.BestKnownQualityParameter.ActualName = problem.BestKnownQualityParameter.Name;
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234 | }
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235 | }
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236 |
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237 | private bool IsSubclassOfGeneric(Type generic, Type toCheck) {
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238 | while (toCheck != typeof(object)) {
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239 | var cur = toCheck.IsGenericType ? toCheck.GetGenericTypeDefinition() : toCheck;
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240 | if (generic == cur) {
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241 | return true;
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242 | }
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243 | toCheck = toCheck.BaseType;
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244 | }
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245 | return false;
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246 | }
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247 |
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248 | private void UpdateAnalyzers() {
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249 | Analyzer.Operators.Clear();
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250 | if (problem != null) {
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251 | foreach (IAnalyzer analyzer in problem.Operators.OfType<IAnalyzer>()) {
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252 | if (!IsSubclassOfGeneric(typeof(AlleleFrequencyAnalyzer<>), analyzer.GetType()) &&
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253 | !IsSubclassOfGeneric(typeof(PopulationDiversityAnalyzer<>), analyzer.GetType())) {
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254 | IAnalyzer clone = analyzer.Clone() as IAnalyzer;
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255 | foreach (IScopeTreeLookupParameter param in clone.Parameters.OfType<IScopeTreeLookupParameter>())
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256 | param.Depth = 0;
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257 | Analyzer.Operators.Add(clone, clone.EnabledByDefault);
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258 | }
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259 | }
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260 | }
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261 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
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262 | }
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263 |
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264 | private void UpdateMoveOperators() {
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265 | IMoveGenerator oldMoveGenerator = MoveGenerator;
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266 | IMoveMaker oldMoveMaker = MoveMaker;
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267 | ISingleObjectiveMoveEvaluator oldMoveEvaluator = MoveEvaluator;
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268 |
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269 | ClearMoveParameters();
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270 |
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271 | if (problem != null) {
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272 | foreach (IMultiMoveGenerator generator in problem.Operators.OfType<IMultiMoveGenerator>().OrderBy(x => x.Name))
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273 | MoveGeneratorParameter.ValidValues.Add(generator);
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274 | foreach (IExhaustiveMoveGenerator generator in problem.Operators.OfType<IExhaustiveMoveGenerator>().OrderBy(x => x.Name))
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275 | MoveGeneratorParameter.ValidValues.Add(generator);
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276 |
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277 | if (oldMoveGenerator != null) {
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278 | IMoveGenerator newMoveGenerator = MoveGeneratorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveGenerator.GetType());
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279 | if (newMoveGenerator != null) MoveGenerator = newMoveGenerator;
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280 | }
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281 |
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282 | ChooseMoveOperators(oldMoveMaker, oldMoveEvaluator);
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283 | }
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284 | }
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285 |
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286 | private void ChooseMoveOperators(IMoveMaker oldMoveMaker = null, ISingleObjectiveMoveEvaluator oldMoveEvaluator = null) {
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287 | if (oldMoveMaker == null) oldMoveMaker = MoveMaker;
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288 | if (oldMoveEvaluator == null) oldMoveEvaluator = MoveEvaluator;
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289 | MoveMakerParameter.ValidValues.Clear();
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290 | MoveEvaluatorParameter.ValidValues.Clear();
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291 |
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292 | if (MoveGenerator != null && Problem != null) {
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293 | IMoveGenerator generator = MoveGeneratorParameter.Value;
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294 | foreach (IMoveMaker moveMaker in MoveHelper.GetCompatibleMoveMakers(generator, Problem.Operators).OrderBy(x => x.Name))
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295 | MoveMakerParameter.ValidValues.Add(moveMaker);
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296 | foreach (ISingleObjectiveMoveEvaluator moveEvaluator in MoveHelper.GetCompatibleSingleObjectiveMoveEvaluators(generator, Problem.Operators).OrderBy(x => x.Name))
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297 | MoveEvaluatorParameter.ValidValues.Add(moveEvaluator);
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298 |
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299 | if (oldMoveMaker != null) {
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300 | IMoveMaker mm = MoveMakerParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveMaker.GetType());
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301 | if (mm != null) MoveMaker = mm;
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302 | }
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303 | if (oldMoveEvaluator != null) {
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304 | ISingleObjectiveMoveEvaluator me = MoveEvaluatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMoveEvaluator.GetType());
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305 | if (me != null) MoveEvaluator = me;
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306 | }
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307 | }
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308 | }
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309 |
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310 | private void ClearMoveParameters() {
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311 | MoveGeneratorParameter.ValidValues.Clear();
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312 | MoveMakerParameter.ValidValues.Clear();
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313 | MoveEvaluatorParameter.ValidValues.Clear();
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314 | }
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315 |
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316 | private void ParameterizeMoveGenerators() {
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317 | if (problem != null) {
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318 | foreach (IMultiMoveGenerator generator in problem.Operators.OfType<IMultiMoveGenerator>())
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319 | generator.SampleSizeParameter.ActualName = SampleSizeParameter.Name;
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320 | }
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321 | }
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322 | #endregion
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323 |
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324 | public override IOperation Apply() {
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325 | IScope currentScope = ExecutionContext.Scope;
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326 |
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327 | Scope localScope = new Scope();
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328 | Scope individual = new Scope();
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329 |
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330 | foreach (IVariable var in currentScope.Variables)
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331 | individual.Variables.Add(var); // add reference to variable otherwise the analyzer fails (it's looking down the tree)
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332 |
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333 | localScope.SubScopes.Add(individual);
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334 | currentScope.SubScopes.Add(localScope);
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335 | int index = currentScope.SubScopes.Count - 1;
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336 |
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337 | SubScopesProcessor processor = new SubScopesProcessor();
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338 | SubScopesRemover remover = new SubScopesRemover();
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339 |
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340 | remover.RemoveAllSubScopes = false;
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341 | remover.SubScopeIndexParameter.Value = new IntValue(index);
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342 |
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343 | if (index > 0) {
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344 | EmptyOperator eo = new EmptyOperator();
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345 | for (int i = 0; i < index - 1; i++) {
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346 | processor.Operators.Add(eo);
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347 | }
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348 | }
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349 |
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350 | VariableCreator variableCreator = new VariableCreator();
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351 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>(loop.IterationsParameter.ActualName, new IntValue(0)));
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352 | variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>(loop.BestLocalQualityParameter.ActualName, new DoubleValue(0)));
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353 |
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354 | variableCreator.Successor = loop;
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355 |
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356 | processor.Operators.Add(variableCreator);
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357 | processor.Successor = remover;
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358 |
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359 | OperationCollection next = new OperationCollection(base.Apply());
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360 | next.Insert(0, ExecutionContext.CreateChildOperation(processor));
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361 |
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362 | return next;
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363 | }
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364 | }
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365 | }
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