| 1 | #region License Information
|
|---|
| 2 | /* HeuristicLab
|
|---|
| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
|---|
| 4 | *
|
|---|
| 5 | * This file is part of HeuristicLab.
|
|---|
| 6 | *
|
|---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
|---|
| 8 | * it under the terms of the GNU General Public License as published by
|
|---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
|---|
| 10 | * (at your option) any later version.
|
|---|
| 11 | *
|
|---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
|---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|---|
| 15 | * GNU General Public License for more details.
|
|---|
| 16 | *
|
|---|
| 17 | * You should have received a copy of the GNU General Public License
|
|---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
|---|
| 19 | */
|
|---|
| 20 | #endregion
|
|---|
| 21 |
|
|---|
| 22 | using HeuristicLab.Analysis;
|
|---|
| 23 | using HeuristicLab.Core;
|
|---|
| 24 | using HeuristicLab.Data;
|
|---|
| 25 | using HeuristicLab.Operators;
|
|---|
| 26 | using HeuristicLab.Optimization.Operators;
|
|---|
| 27 | using HeuristicLab.Parameters;
|
|---|
| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
|
|---|
| 29 | using HeuristicLab.Selection;
|
|---|
| 30 |
|
|---|
| 31 | namespace HeuristicLab.Algorithms.OffspringSelectionGeneticAlgorithm {
|
|---|
| 32 | /// <summary>
|
|---|
| 33 | /// An operator which represents the main loop of an offspring selection genetic algorithm.
|
|---|
| 34 | /// </summary>
|
|---|
| 35 | [Item("OffspringSelectionGeneticAlgorithmMainLoop", "An operator which represents the main loop of an offspring selection genetic algorithm.")]
|
|---|
| 36 | [StorableClass]
|
|---|
| 37 | public sealed class OffspringSelectionGeneticAlgorithmMainLoop : AlgorithmOperator {
|
|---|
| 38 | #region Parameter properties
|
|---|
| 39 | public ValueLookupParameter<IRandom> RandomParameter {
|
|---|
| 40 | get { return (ValueLookupParameter<IRandom>)Parameters["Random"]; }
|
|---|
| 41 | }
|
|---|
| 42 | public ValueLookupParameter<BoolValue> MaximizationParameter {
|
|---|
| 43 | get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
|
|---|
| 44 | }
|
|---|
| 45 | public ScopeTreeLookupParameter<DoubleValue> QualityParameter {
|
|---|
| 46 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
|
|---|
| 47 | }
|
|---|
| 48 | public ValueLookupParameter<IOperator> SelectorParameter {
|
|---|
| 49 | get { return (ValueLookupParameter<IOperator>)Parameters["Selector"]; }
|
|---|
| 50 | }
|
|---|
| 51 | public ValueLookupParameter<IOperator> CrossoverParameter {
|
|---|
| 52 | get { return (ValueLookupParameter<IOperator>)Parameters["Crossover"]; }
|
|---|
| 53 | }
|
|---|
| 54 | public ValueLookupParameter<PercentValue> MutationProbabilityParameter {
|
|---|
| 55 | get { return (ValueLookupParameter<PercentValue>)Parameters["MutationProbability"]; }
|
|---|
| 56 | }
|
|---|
| 57 | public ValueLookupParameter<IOperator> MutatorParameter {
|
|---|
| 58 | get { return (ValueLookupParameter<IOperator>)Parameters["Mutator"]; }
|
|---|
| 59 | }
|
|---|
| 60 | public ValueLookupParameter<IOperator> EvaluatorParameter {
|
|---|
| 61 | get { return (ValueLookupParameter<IOperator>)Parameters["Evaluator"]; }
|
|---|
| 62 | }
|
|---|
| 63 | public ValueLookupParameter<IntValue> ElitesParameter {
|
|---|
| 64 | get { return (ValueLookupParameter<IntValue>)Parameters["Elites"]; }
|
|---|
| 65 | }
|
|---|
| 66 | public ValueLookupParameter<IntValue> MaximumGenerationsParameter {
|
|---|
| 67 | get { return (ValueLookupParameter<IntValue>)Parameters["MaximumGenerations"]; }
|
|---|
| 68 | }
|
|---|
| 69 | public ValueLookupParameter<VariableCollection> ResultsParameter {
|
|---|
| 70 | get { return (ValueLookupParameter<VariableCollection>)Parameters["Results"]; }
|
|---|
| 71 | }
|
|---|
| 72 | public ValueLookupParameter<IOperator> AnalyzerParameter {
|
|---|
| 73 | get { return (ValueLookupParameter<IOperator>)Parameters["Analyzer"]; }
|
|---|
| 74 | }
|
|---|
| 75 | public ValueLookupParameter<DoubleValue> SuccessRatioParameter {
|
|---|
| 76 | get { return (ValueLookupParameter<DoubleValue>)Parameters["SuccessRatio"]; }
|
|---|
| 77 | }
|
|---|
| 78 | public ValueLookupParameter<IOperator> ComparisonFactorModifierParameter {
|
|---|
| 79 | get { return (ValueLookupParameter<IOperator>)Parameters["ComparisonFactorModifier"]; }
|
|---|
| 80 | }
|
|---|
| 81 | public ValueLookupParameter<DoubleValue> MaximumSelectionPressureParameter {
|
|---|
| 82 | get { return (ValueLookupParameter<DoubleValue>)Parameters["MaximumSelectionPressure"]; }
|
|---|
| 83 | }
|
|---|
| 84 | public ValueLookupParameter<BoolValue> OffspringSelectionBeforeMutationParameter {
|
|---|
| 85 | get { return (ValueLookupParameter<BoolValue>)Parameters["OffspringSelectionBeforeMutation"]; }
|
|---|
| 86 | }
|
|---|
| 87 | #endregion
|
|---|
| 88 |
|
|---|
| 89 | [StorableConstructor]
|
|---|
| 90 | private OffspringSelectionGeneticAlgorithmMainLoop(bool deserializing) : base() { }
|
|---|
| 91 | public OffspringSelectionGeneticAlgorithmMainLoop()
|
|---|
| 92 | : base() {
|
|---|
| 93 | Initialize();
|
|---|
| 94 | }
|
|---|
| 95 |
|
|---|
| 96 | private void Initialize() {
|
|---|
| 97 | #region Create parameters
|
|---|
| 98 | Parameters.Add(new ValueLookupParameter<IRandom>("Random", "A pseudo random number generator."));
|
|---|
| 99 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
|
|---|
| 100 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality", "The value which represents the quality of a solution."));
|
|---|
| 101 | Parameters.Add(new ValueLookupParameter<DoubleValue>("BestKnownQuality", "The best known quality value found so far."));
|
|---|
| 102 | Parameters.Add(new ValueLookupParameter<IOperator>("Selector", "The operator used to select solutions for reproduction."));
|
|---|
| 103 | Parameters.Add(new ValueLookupParameter<IOperator>("Crossover", "The operator used to cross solutions."));
|
|---|
| 104 | Parameters.Add(new ValueLookupParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution."));
|
|---|
| 105 | Parameters.Add(new ValueLookupParameter<IOperator>("Mutator", "The operator used to mutate solutions."));
|
|---|
| 106 | Parameters.Add(new ValueLookupParameter<IOperator>("Evaluator", "The operator used to evaluate solutions."));
|
|---|
| 107 | Parameters.Add(new ValueLookupParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation."));
|
|---|
| 108 | Parameters.Add(new ValueLookupParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed."));
|
|---|
| 109 | Parameters.Add(new ValueLookupParameter<VariableCollection>("Results", "The variable collection where results should be stored."));
|
|---|
| 110 | Parameters.Add(new ValueLookupParameter<IOperator>("Analyzer", "The operator used to analyze each generation."));
|
|---|
| 111 | Parameters.Add(new ValueLookupParameter<DoubleValue>("SuccessRatio", "The ratio of successful to total children that should be achieved."));
|
|---|
| 112 | Parameters.Add(new ValueLookupParameter<IOperator>("ComparisonFactorModifier", "The operator used to modify the comparison factor."));
|
|---|
| 113 | Parameters.Add(new ValueLookupParameter<DoubleValue>("MaximumSelectionPressure", "The maximum selection pressure that terminates the algorithm."));
|
|---|
| 114 | Parameters.Add(new ValueLookupParameter<BoolValue>("OffspringSelectionBeforeMutation", "True if the offspring selection step should be applied before mutation, false if it should be applied after mutation."));
|
|---|
| 115 | #endregion
|
|---|
| 116 |
|
|---|
| 117 | #region Create operators
|
|---|
| 118 | VariableCreator variableCreator = new VariableCreator();
|
|---|
| 119 | Placeholder comparisonFactorModifier1 = new Placeholder();
|
|---|
| 120 | Placeholder analyzer1 = new Placeholder();
|
|---|
| 121 | ResultsCollector resultsCollector1 = new ResultsCollector();
|
|---|
| 122 | ResultsCollector resultsCollector2 = new ResultsCollector();
|
|---|
| 123 | OffspringSelectionGeneticAlgorithmMainOperator mainOperator = new OffspringSelectionGeneticAlgorithmMainOperator();
|
|---|
| 124 | IntCounter generationsCounter = new IntCounter();
|
|---|
| 125 | Comparator maxGenerationsComparator = new Comparator();
|
|---|
| 126 | Comparator maxSelectionPressureComparator = new Comparator();
|
|---|
| 127 | Placeholder comparisonFactorModifier2 = new Placeholder();
|
|---|
| 128 | Placeholder analyzer2 = new Placeholder();
|
|---|
| 129 | ResultsCollector resultsCollector3 = new ResultsCollector();
|
|---|
| 130 | ConditionalBranch conditionalBranch1 = new ConditionalBranch();
|
|---|
| 131 | ConditionalBranch conditionalBranch2 = new ConditionalBranch();
|
|---|
| 132 |
|
|---|
| 133 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Generations", new IntValue(0)));
|
|---|
| 134 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue(0)));
|
|---|
| 135 | variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("SelectionPressure", new DoubleValue(0)));
|
|---|
| 136 | variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("CurrentSuccessRatio", new DoubleValue(0)));
|
|---|
| 137 | variableCreator.CollectedValues.Add(new ValueParameter<DoubleValue>("ComparisonFactor", new DoubleValue(0)));
|
|---|
| 138 |
|
|---|
| 139 | comparisonFactorModifier1.Name = "Initialize ComparisonFactor (placeholder)";
|
|---|
| 140 | comparisonFactorModifier1.OperatorParameter.ActualName = ComparisonFactorModifierParameter.Name;
|
|---|
| 141 |
|
|---|
| 142 | analyzer1.Name = "Analyzer (placeholder)";
|
|---|
| 143 | analyzer1.OperatorParameter.ActualName = AnalyzerParameter.Name;
|
|---|
| 144 |
|
|---|
| 145 | resultsCollector1.CopyValue = new BoolValue(false);
|
|---|
| 146 | resultsCollector1.CollectedValues.Add(new LookupParameter<IntValue>("Generations"));
|
|---|
| 147 | resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Curent Comparison Factor", null, "ComparisonFactor"));
|
|---|
| 148 | resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Selection Pressure", null, "SelectionPressure"));
|
|---|
| 149 | resultsCollector1.CollectedValues.Add(new LookupParameter<DoubleValue>("Current Success Ratio", null, "CurrentSuccessRatio"));
|
|---|
| 150 | resultsCollector1.ResultsParameter.ActualName = ResultsParameter.Name;
|
|---|
| 151 |
|
|---|
| 152 | resultsCollector2.CopyValue = new BoolValue(true);
|
|---|
| 153 | resultsCollector2.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
|
|---|
| 154 | resultsCollector2.ResultsParameter.ActualName = ResultsParameter.Name;
|
|---|
| 155 |
|
|---|
| 156 | mainOperator.ComparisonFactorParameter.ActualName = "ComparisonFactor";
|
|---|
| 157 | mainOperator.CrossoverParameter.ActualName = CrossoverParameter.Name;
|
|---|
| 158 | mainOperator.CurrentSuccessRatioParameter.ActualName = "CurrentSuccessRatio";
|
|---|
| 159 | mainOperator.ElitesParameter.ActualName = ElitesParameter.Name;
|
|---|
| 160 | mainOperator.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
|
|---|
| 161 | mainOperator.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
|
|---|
| 162 | mainOperator.MaximizationParameter.ActualName = MaximizationParameter.Name;
|
|---|
| 163 | mainOperator.MaximumSelectionPressureParameter.ActualName = MaximumSelectionPressureParameter.Name;
|
|---|
| 164 | mainOperator.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
|
|---|
| 165 | mainOperator.MutatorParameter.ActualName = MutatorParameter.Name;
|
|---|
| 166 | mainOperator.OffspringSelectionBeforeMutationParameter.ActualName = OffspringSelectionBeforeMutationParameter.Name;
|
|---|
| 167 | mainOperator.QualityParameter.ActualName = QualityParameter.Name;
|
|---|
| 168 | mainOperator.RandomParameter.ActualName = RandomParameter.Name;
|
|---|
| 169 | mainOperator.SelectionPressureParameter.ActualName = "SelectionPressure";
|
|---|
| 170 | mainOperator.SelectorParameter.ActualName = SelectorParameter.Name;
|
|---|
| 171 | mainOperator.SuccessRatioParameter.ActualName = SuccessRatioParameter.Name;
|
|---|
| 172 |
|
|---|
| 173 | generationsCounter.Increment = new IntValue(1);
|
|---|
| 174 | generationsCounter.ValueParameter.ActualName = "Generations";
|
|---|
| 175 |
|
|---|
| 176 | maxGenerationsComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
|
|---|
| 177 | maxGenerationsComparator.LeftSideParameter.ActualName = "Generations";
|
|---|
| 178 | maxGenerationsComparator.ResultParameter.ActualName = "TerminateMaximumGenerations";
|
|---|
| 179 | maxGenerationsComparator.RightSideParameter.ActualName = MaximumGenerationsParameter.Name;
|
|---|
| 180 |
|
|---|
| 181 | maxSelectionPressureComparator.Comparison = new Comparison(ComparisonType.GreaterOrEqual);
|
|---|
| 182 | maxSelectionPressureComparator.LeftSideParameter.ActualName = "SelectionPressure";
|
|---|
| 183 | maxSelectionPressureComparator.ResultParameter.ActualName = "TerminateSelectionPressure";
|
|---|
| 184 | maxSelectionPressureComparator.RightSideParameter.ActualName = MaximumSelectionPressureParameter.Name;
|
|---|
| 185 |
|
|---|
| 186 | comparisonFactorModifier2.Name = "Update ComparisonFactor (placeholder)";
|
|---|
| 187 | comparisonFactorModifier2.OperatorParameter.ActualName = ComparisonFactorModifierParameter.Name;
|
|---|
| 188 |
|
|---|
| 189 | analyzer2.Name = "Analyzer (placeholder)";
|
|---|
| 190 | analyzer2.OperatorParameter.ActualName = AnalyzerParameter.Name;
|
|---|
| 191 |
|
|---|
| 192 | resultsCollector3.CopyValue = new BoolValue(true);
|
|---|
| 193 | resultsCollector3.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
|
|---|
| 194 | resultsCollector3.ResultsParameter.ActualName = ResultsParameter.Name;
|
|---|
| 195 |
|
|---|
| 196 | conditionalBranch1.Name = "MaximumSelectionPressure reached?";
|
|---|
| 197 | conditionalBranch1.ConditionParameter.ActualName = "TerminateSelectionPressure";
|
|---|
| 198 |
|
|---|
| 199 | conditionalBranch2.Name = "MaximumGenerations reached?";
|
|---|
| 200 | conditionalBranch2.ConditionParameter.ActualName = "TerminateMaximumGenerations";
|
|---|
| 201 | #endregion
|
|---|
| 202 |
|
|---|
| 203 | #region Create operator graph
|
|---|
| 204 | OperatorGraph.InitialOperator = variableCreator;
|
|---|
| 205 | variableCreator.Successor = comparisonFactorModifier1;
|
|---|
| 206 | comparisonFactorModifier1.Successor = analyzer1;
|
|---|
| 207 | analyzer1.Successor = resultsCollector1;
|
|---|
| 208 | resultsCollector1.Successor = resultsCollector2;
|
|---|
| 209 | resultsCollector2.Successor = mainOperator;
|
|---|
| 210 | mainOperator.Successor = generationsCounter;
|
|---|
| 211 | generationsCounter.Successor = maxGenerationsComparator;
|
|---|
| 212 | maxGenerationsComparator.Successor = maxSelectionPressureComparator;
|
|---|
| 213 | maxSelectionPressureComparator.Successor = comparisonFactorModifier2;
|
|---|
| 214 | comparisonFactorModifier2.Successor = analyzer2;
|
|---|
| 215 | analyzer2.Successor = resultsCollector3;
|
|---|
| 216 | resultsCollector3.Successor = conditionalBranch1;
|
|---|
| 217 | conditionalBranch1.FalseBranch = conditionalBranch2;
|
|---|
| 218 | conditionalBranch1.TrueBranch = null;
|
|---|
| 219 | conditionalBranch1.Successor = null;
|
|---|
| 220 | conditionalBranch2.FalseBranch = mainOperator;
|
|---|
| 221 | conditionalBranch2.TrueBranch = null;
|
|---|
| 222 | conditionalBranch2.Successor = null;
|
|---|
| 223 | #endregion
|
|---|
| 224 | }
|
|---|
| 225 | }
|
|---|
| 226 | }
|
|---|
