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.Linq;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Operators;
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28 | using HeuristicLab.Optimization;
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29 | using HeuristicLab.Optimization.Operators;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 | using HeuristicLab.PluginInfrastructure;
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33 |
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34 | namespace HeuristicLab.Algorithms.SGA {
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35 | /// <summary>
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36 | /// A standard genetic algorithm.
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37 | /// </summary>
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38 | [Item("SGA", "A standard genetic algorithm.")]
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39 | [Creatable("Algorithms")]
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40 | [StorableClass]
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41 | public sealed class SGA : EngineAlgorithm {
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42 | #region Problem Properties
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43 | public override Type ProblemType {
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44 | get { return typeof(ISingleObjectiveProblem); }
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45 | }
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46 | public new ISingleObjectiveProblem Problem {
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47 | get { return (ISingleObjectiveProblem)base.Problem; }
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48 | set { base.Problem = value; }
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49 | }
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50 | #endregion
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51 |
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52 | #region Parameter Properties
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53 | private ValueParameter<IntValue> SeedParameter {
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54 | get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
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55 | }
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56 | private ValueParameter<BoolValue> SetSeedRandomlyParameter {
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57 | get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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58 | }
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59 | private ValueParameter<IntValue> PopulationSizeParameter {
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60 | get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
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61 | }
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62 | private ConstrainedValueParameter<ISelector> SelectorParameter {
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63 | get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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64 | }
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65 | private ConstrainedValueParameter<ICrossover> CrossoverParameter {
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66 | get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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67 | }
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68 | private ValueParameter<DoubleValue> MutationProbabilityParameter {
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69 | get { return (ValueParameter<DoubleValue>)Parameters["MutationProbability"]; }
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70 | }
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71 | private OptionalConstrainedValueParameter<IManipulator> MutatorParameter {
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72 | get { return (OptionalConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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73 | }
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74 | private ValueParameter<IntValue> ElitesParameter {
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75 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
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76 | }
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77 | private ValueParameter<IntValue> MaximumGenerationsParameter {
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78 | get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
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79 | }
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80 | #endregion
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81 |
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82 | #region Properties
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83 | public IntValue Seed {
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84 | get { return SeedParameter.Value; }
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85 | set { SeedParameter.Value = value; }
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86 | }
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87 | public BoolValue SetSeedRandomly {
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88 | get { return SetSeedRandomlyParameter.Value; }
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89 | set { SetSeedRandomlyParameter.Value = value; }
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90 | }
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91 | public IntValue PopulationSize {
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92 | get { return PopulationSizeParameter.Value; }
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93 | set { PopulationSizeParameter.Value = value; }
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94 | }
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95 | public ISelector Selector {
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96 | get { return SelectorParameter.Value; }
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97 | set { SelectorParameter.Value = value; }
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98 | }
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99 | public ICrossover Crossover {
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100 | get { return CrossoverParameter.Value; }
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101 | set { CrossoverParameter.Value = value; }
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102 | }
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103 | public DoubleValue MutationProbability {
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104 | get { return MutationProbabilityParameter.Value; }
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105 | set { MutationProbabilityParameter.Value = value; }
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106 | }
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107 | public IManipulator Mutator {
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108 | get { return MutatorParameter.Value; }
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109 | set { MutatorParameter.Value = value; }
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110 | }
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111 | public IntValue Elites {
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112 | get { return ElitesParameter.Value; }
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113 | set { ElitesParameter.Value = value; }
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114 | }
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115 | public IntValue MaximumGenerations {
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116 | get { return MaximumGenerationsParameter.Value; }
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117 | set { MaximumGenerationsParameter.Value = value; }
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118 | }
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119 | private RandomCreator RandomCreator {
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120 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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121 | }
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122 | private SolutionsCreator SolutionsCreator {
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123 | get { return (SolutionsCreator)RandomCreator.Successor; }
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124 | }
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125 | private SGAMainLoop SGAMainLoop {
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126 | get { return (SGAMainLoop)SolutionsCreator.Successor; }
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127 | }
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128 | private List<ISelector> selectors;
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129 | private IEnumerable<ISelector> Selectors {
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130 | get { return selectors; }
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131 | }
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132 | #endregion
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133 |
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134 | public SGA()
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135 | : base() {
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136 | Parameters.Add(new ValueParameter<IntValue>("Seed", "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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137 | Parameters.Add(new ValueParameter<BoolValue>("SetSeedRandomly", "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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138 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
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139 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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140 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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141 | Parameters.Add(new ValueParameter<DoubleValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new DoubleValue(0.05)));
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142 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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143 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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144 | Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed.", new IntValue(1000)));
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145 |
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146 | RandomCreator randomCreator = new RandomCreator();
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147 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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148 | SGAMainLoop sgaMainLoop = new SGAMainLoop();
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149 | OperatorGraph.InitialOperator = randomCreator;
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150 |
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151 | randomCreator.RandomParameter.ActualName = "Random";
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152 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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153 | randomCreator.SeedParameter.Value = null;
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154 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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155 | randomCreator.SetSeedRandomlyParameter.Value = null;
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156 | randomCreator.Successor = solutionsCreator;
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157 |
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158 | solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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159 | solutionsCreator.Successor = sgaMainLoop;
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160 |
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161 | sgaMainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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162 | sgaMainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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163 | sgaMainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
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164 | sgaMainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
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165 | sgaMainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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166 | sgaMainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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167 | sgaMainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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168 | sgaMainLoop.ResultsParameter.ActualName = "Results";
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169 |
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170 | Initialze();
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171 | }
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172 | [StorableConstructor]
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173 | private SGA(bool deserializing) : base() { }
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174 |
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175 | public override IDeepCloneable Clone(Cloner cloner) {
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176 | SGA clone = (SGA)base.Clone(cloner);
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177 | clone.Initialze();
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178 | return clone;
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179 | }
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180 |
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181 | #region Events
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182 | protected override void OnProblemChanged() {
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183 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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184 | ParameterizeStochasticOperator(Problem.Evaluator);
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185 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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186 | ParameterizeSolutionsCreator();
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187 | ParameterizeSGAMainLoop();
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188 | ParameterizeSelectors();
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189 | UpdateCrossovers();
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190 | UpdateMutators();
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191 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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192 | base.OnProblemChanged();
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193 | }
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194 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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195 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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196 | ParameterizeSolutionsCreator();
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197 | base.Problem_SolutionCreatorChanged(sender, e);
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198 | }
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199 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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200 | ParameterizeStochasticOperator(Problem.Evaluator);
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201 | ParameterizeSolutionsCreator();
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202 | ParameterizeSGAMainLoop();
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203 | ParameterizeSelectors();
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204 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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205 | base.Problem_EvaluatorChanged(sender, e);
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206 | }
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207 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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208 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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209 | UpdateCrossovers();
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210 | UpdateMutators();
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211 | base.Problem_OperatorsChanged(sender, e);
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212 | }
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213 | private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
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214 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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215 | ParameterizeSelectors();
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216 | }
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217 | private void Elites_ValueChanged(object sender, EventArgs e) {
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218 | ParameterizeSelectors();
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219 | }
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220 | private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
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221 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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222 | ParameterizeSelectors();
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223 | }
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224 | private void PopulationSize_ValueChanged(object sender, EventArgs e) {
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225 | ParameterizeSelectors();
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226 | }
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227 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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228 | ParameterizeSGAMainLoop();
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229 | ParameterizeSelectors();
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230 | }
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231 | #endregion
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232 |
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233 | #region Helpers
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234 | [StorableHook(HookType.AfterDeserialization)]
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235 | private void Initialze() {
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236 | InitializeSelectors();
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237 | UpdateSelectors();
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238 | PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
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239 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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240 | ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
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241 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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242 | if (Problem != null)
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243 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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244 | }
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245 |
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246 | private void ParameterizeSolutionsCreator() {
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247 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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248 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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249 | }
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250 | private void ParameterizeSGAMainLoop() {
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251 | SGAMainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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252 | SGAMainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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253 | SGAMainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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254 | }
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255 | private void ParameterizeStochasticOperator(IOperator op) {
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256 | if (op is IStochasticOperator)
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257 | ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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258 | }
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259 | private void InitializeSelectors() {
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260 | selectors = new List<ISelector>();
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261 | if (ApplicationManager.Manager != null) {
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262 | selectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
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263 | ParameterizeSelectors();
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264 | }
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265 | }
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266 | private void ParameterizeSelectors() {
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267 | foreach (ISelector selector in Selectors) {
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268 | selector.CopySelected = new BoolValue(true);
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269 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
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270 | ParameterizeStochasticOperator(selector);
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271 | }
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272 | if (Problem != null) {
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273 | foreach (ISingleObjectiveSelector selector in Selectors.OfType<ISingleObjectiveSelector>()) {
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274 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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275 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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276 | }
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277 | }
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278 | }
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279 | private void UpdateSelectors() {
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280 | if (ApplicationManager.Manager != null) {
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281 | ISelector oldSelector = SelectorParameter.Value;
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282 | SelectorParameter.ValidValues.Clear();
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283 | foreach (ISelector selector in Selectors.OrderBy(x => x.Name))
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284 | SelectorParameter.ValidValues.Add(selector);
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285 | if (oldSelector != null)
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286 | SelectorParameter.Value = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
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287 | }
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288 | }
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289 | private void UpdateCrossovers() {
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290 | ICrossover oldCrossover = CrossoverParameter.Value;
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291 | CrossoverParameter.ValidValues.Clear();
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292 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
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293 | CrossoverParameter.ValidValues.Add(crossover);
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294 | if (oldCrossover != null)
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295 | CrossoverParameter.Value = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
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296 | }
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297 | private void UpdateMutators() {
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298 | IManipulator oldMutator = MutatorParameter.Value;
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299 | MutatorParameter.ValidValues.Clear();
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300 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
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301 | MutatorParameter.ValidValues.Add(mutator);
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302 | if (oldMutator != null)
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303 | MutatorParameter.Value = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
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304 | }
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305 | #endregion
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306 | }
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307 | }
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