[2] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7259] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[2] | 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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[2865] | 22 | using System;
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| 23 | using System.Linq;
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[4068] | 24 | using HeuristicLab.Analysis;
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[3376] | 25 | using HeuristicLab.Common;
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[2] | 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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[5346] | 28 | using HeuristicLab.Operators;
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[2851] | 29 | using HeuristicLab.Optimization;
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[3021] | 30 | using HeuristicLab.Optimization.Operators;
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[2852] | 31 | using HeuristicLab.Parameters;
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| 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[2882] | 33 | using HeuristicLab.PluginInfrastructure;
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[3368] | 34 | using HeuristicLab.Random;
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[2] | 35 |
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[3196] | 36 | namespace HeuristicLab.Algorithms.GeneticAlgorithm {
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[1153] | 37 | /// <summary>
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[3198] | 38 | /// A genetic algorithm.
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[1153] | 39 | /// </summary>
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[3198] | 40 | [Item("Genetic Algorithm", "A genetic algorithm.")]
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[2851] | 41 | [Creatable("Algorithms")]
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[3017] | 42 | [StorableClass]
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[5809] | 43 | public sealed class GeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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[4437] | 44 | public string Filename { get; set; }
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| 45 |
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[2986] | 46 | #region Problem Properties
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| 47 | public override Type ProblemType {
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[5809] | 48 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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[2986] | 49 | }
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[5809] | 50 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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| 51 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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[2986] | 52 | set { base.Problem = value; }
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| 53 | }
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| 54 | #endregion
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[2852] | 55 |
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[2986] | 56 | #region Parameter Properties
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[3048] | 57 | private ValueParameter<IntValue> SeedParameter {
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| 58 | get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
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[2986] | 59 | }
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[3048] | 60 | private ValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 61 | get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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[2986] | 62 | }
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[3048] | 63 | private ValueParameter<IntValue> PopulationSizeParameter {
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| 64 | get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
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[2986] | 65 | }
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[8121] | 66 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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| 67 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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[2986] | 68 | }
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[8121] | 69 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 70 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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[2986] | 71 | }
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[3095] | 72 | private ValueParameter<PercentValue> MutationProbabilityParameter {
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| 73 | get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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[2986] | 74 | }
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[8121] | 75 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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| 76 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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[2986] | 77 | }
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[3048] | 78 | private ValueParameter<IntValue> ElitesParameter {
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| 79 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
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[2986] | 80 | }
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[3658] | 81 | private ValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 82 | get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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[3616] | 83 | }
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[3048] | 84 | private ValueParameter<IntValue> MaximumGenerationsParameter {
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| 85 | get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
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[2986] | 86 | }
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| 87 | #endregion
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[2865] | 88 |
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[2986] | 89 | #region Properties
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[3048] | 90 | public IntValue Seed {
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[2986] | 91 | get { return SeedParameter.Value; }
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| 92 | set { SeedParameter.Value = value; }
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| 93 | }
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[3048] | 94 | public BoolValue SetSeedRandomly {
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[2986] | 95 | get { return SetSeedRandomlyParameter.Value; }
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| 96 | set { SetSeedRandomlyParameter.Value = value; }
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| 97 | }
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[3048] | 98 | public IntValue PopulationSize {
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[2986] | 99 | get { return PopulationSizeParameter.Value; }
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| 100 | set { PopulationSizeParameter.Value = value; }
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| 101 | }
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| 102 | public ISelector Selector {
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| 103 | get { return SelectorParameter.Value; }
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| 104 | set { SelectorParameter.Value = value; }
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| 105 | }
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| 106 | public ICrossover Crossover {
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| 107 | get { return CrossoverParameter.Value; }
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| 108 | set { CrossoverParameter.Value = value; }
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| 109 | }
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[3095] | 110 | public PercentValue MutationProbability {
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[2986] | 111 | get { return MutationProbabilityParameter.Value; }
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| 112 | set { MutationProbabilityParameter.Value = value; }
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| 113 | }
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| 114 | public IManipulator Mutator {
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| 115 | get { return MutatorParameter.Value; }
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| 116 | set { MutatorParameter.Value = value; }
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| 117 | }
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[3048] | 118 | public IntValue Elites {
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[2986] | 119 | get { return ElitesParameter.Value; }
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| 120 | set { ElitesParameter.Value = value; }
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| 121 | }
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[3658] | 122 | public MultiAnalyzer Analyzer {
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[3616] | 123 | get { return AnalyzerParameter.Value; }
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| 124 | set { AnalyzerParameter.Value = value; }
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| 125 | }
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[3048] | 126 | public IntValue MaximumGenerations {
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[2986] | 127 | get { return MaximumGenerationsParameter.Value; }
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| 128 | set { MaximumGenerationsParameter.Value = value; }
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| 129 | }
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| 130 | private RandomCreator RandomCreator {
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| 131 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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| 132 | }
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[3023] | 133 | private SolutionsCreator SolutionsCreator {
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| 134 | get { return (SolutionsCreator)RandomCreator.Successor; }
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[2986] | 135 | }
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[3198] | 136 | private GeneticAlgorithmMainLoop GeneticAlgorithmMainLoop {
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[5366] | 137 | get { return FindMainLoop(SolutionsCreator.Successor); }
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[2986] | 138 | }
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[3680] | 139 | [Storable]
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[3662] | 140 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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[2986] | 141 | #endregion
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[2852] | 142 |
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[3198] | 143 | public GeneticAlgorithm()
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[2986] | 144 | : base() {
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[3048] | 145 | 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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| 146 | 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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| 147 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
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[2986] | 148 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 149 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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[3095] | 150 | Parameters.Add(new ValueParameter<PercentValue>("MutationProbability", "The probability that the mutation operator is applied on a solution.", new PercentValue(0.05)));
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[2986] | 151 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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[3048] | 152 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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[3658] | 153 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
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[3048] | 154 | Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations which should be processed.", new IntValue(1000)));
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[2] | 155 |
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[2986] | 156 | RandomCreator randomCreator = new RandomCreator();
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[3023] | 157 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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[5352] | 158 | SubScopesCounter subScopesCounter = new SubScopesCounter();
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[5356] | 159 | ResultsCollector resultsCollector = new ResultsCollector();
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| 160 | GeneticAlgorithmMainLoop mainLoop = new GeneticAlgorithmMainLoop();
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[2986] | 161 | OperatorGraph.InitialOperator = randomCreator;
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[2882] | 162 |
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[2986] | 163 | randomCreator.RandomParameter.ActualName = "Random";
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| 164 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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| 165 | randomCreator.SeedParameter.Value = null;
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| 166 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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| 167 | randomCreator.SetSeedRandomlyParameter.Value = null;
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[3023] | 168 | randomCreator.Successor = solutionsCreator;
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[2] | 169 |
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[3023] | 170 | solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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[5352] | 171 | solutionsCreator.Successor = subScopesCounter;
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[2] | 172 |
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[5352] | 173 | subScopesCounter.Name = "Initialize EvaluatedSolutions";
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| 174 | subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
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[5356] | 175 | subScopesCounter.Successor = resultsCollector;
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[5346] | 176 |
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[5356] | 177 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
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| 178 | resultsCollector.ResultsParameter.ActualName = "Results";
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| 179 | resultsCollector.Successor = mainLoop;
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[2] | 180 |
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[5356] | 181 | mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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| 182 | mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 183 | mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
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| 184 | mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
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| 185 | mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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| 186 | mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 187 | mainLoop.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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| 188 | mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
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| 189 | mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
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| 190 | mainLoop.PopulationSizeParameter.ActualName = PopulationSizeParameter.Name;
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| 191 | mainLoop.ResultsParameter.ActualName = "Results";
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| 192 |
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[3680] | 193 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
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| 194 | SelectorParameter.ValidValues.Add(selector);
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| 195 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
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| 196 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
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| 197 | ParameterizeSelectors();
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| 198 |
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| 199 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 200 | ParameterizeAnalyzers();
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| 201 | UpdateAnalyzers();
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| 202 |
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[3280] | 203 | Initialize();
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[2986] | 204 | }
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| 205 | [StorableConstructor]
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[3280] | 206 | private GeneticAlgorithm(bool deserializing) : base(deserializing) { }
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[4722] | 207 | [StorableHook(HookType.AfterDeserialization)]
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| 208 | private void AfterDeserialization() {
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| 209 | Initialize();
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| 210 | }
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[2] | 211 |
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[4722] | 212 | private GeneticAlgorithm(GeneticAlgorithm original, Cloner cloner)
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| 213 | : base(original, cloner) {
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| 214 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 215 | Initialize();
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| 216 | }
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[2986] | 217 | public override IDeepCloneable Clone(Cloner cloner) {
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[4722] | 218 | return new GeneticAlgorithm(this, cloner);
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[2986] | 219 | }
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[2882] | 220 |
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[3275] | 221 | public override void Prepare() {
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| 222 | if (Problem != null) base.Prepare();
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[3188] | 223 | }
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| 224 |
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[2986] | 225 | #region Events
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| 226 | protected override void OnProblemChanged() {
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| 227 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 228 | ParameterizeStochasticOperator(Problem.Evaluator);
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[7999] | 229 | foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
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[3023] | 230 | ParameterizeSolutionsCreator();
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[3198] | 231 | ParameterizeGeneticAlgorithmMainLoop();
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[2986] | 232 | ParameterizeSelectors();
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[3616] | 233 | ParameterizeAnalyzers();
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[3750] | 234 | ParameterizeIterationBasedOperators();
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[2986] | 235 | UpdateCrossovers();
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| 236 | UpdateMutators();
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[3616] | 237 | UpdateAnalyzers();
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[2986] | 238 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 239 | base.OnProblemChanged();
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| 240 | }
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[3139] | 241 |
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[2986] | 242 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 243 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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[3023] | 244 | ParameterizeSolutionsCreator();
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[2986] | 245 | base.Problem_SolutionCreatorChanged(sender, e);
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| 246 | }
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| 247 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 248 | ParameterizeStochasticOperator(Problem.Evaluator);
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[3023] | 249 | ParameterizeSolutionsCreator();
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[3198] | 250 | ParameterizeGeneticAlgorithmMainLoop();
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[2986] | 251 | ParameterizeSelectors();
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[3616] | 252 | ParameterizeAnalyzers();
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[2986] | 253 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 254 | base.Problem_EvaluatorChanged(sender, e);
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| 255 | }
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| 256 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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[9363] | 257 | foreach (IOperator op in Problem.Operators.OfType<IOperator>()) ParameterizeStochasticOperator(op);
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[3750] | 258 | ParameterizeIterationBasedOperators();
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[2986] | 259 | UpdateCrossovers();
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| 260 | UpdateMutators();
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[3616] | 261 | UpdateAnalyzers();
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[2986] | 262 | base.Problem_OperatorsChanged(sender, e);
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| 263 | }
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| 264 | private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
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| 265 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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| 266 | ParameterizeSelectors();
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| 267 | }
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| 268 | private void Elites_ValueChanged(object sender, EventArgs e) {
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| 269 | ParameterizeSelectors();
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| 270 | }
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[5206] | 271 |
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[2986] | 272 | private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
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| 273 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 274 | ParameterizeSelectors();
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| 275 | }
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| 276 | private void PopulationSize_ValueChanged(object sender, EventArgs e) {
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| 277 | ParameterizeSelectors();
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| 278 | }
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| 279 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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[3198] | 280 | ParameterizeGeneticAlgorithmMainLoop();
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[2986] | 281 | ParameterizeSelectors();
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[3616] | 282 | ParameterizeAnalyzers();
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[2986] | 283 | }
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| 284 | #endregion
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[2852] | 285 |
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[2986] | 286 | #region Helpers
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[3280] | 287 | private void Initialize() {
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[2986] | 288 | PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
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| 289 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 290 | ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
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| 291 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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[3139] | 292 | if (Problem != null) {
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[2986] | 293 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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[3139] | 294 | }
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[2986] | 295 | }
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[2852] | 296 |
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[3023] | 297 | private void ParameterizeSolutionsCreator() {
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| 298 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 299 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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[2986] | 300 | }
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[3198] | 301 | private void ParameterizeGeneticAlgorithmMainLoop() {
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| 302 | GeneticAlgorithmMainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 303 | GeneticAlgorithmMainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 304 | GeneticAlgorithmMainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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[2986] | 305 | }
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| 306 | private void ParameterizeStochasticOperator(IOperator op) {
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[6051] | 307 | IStochasticOperator stochasticOp = op as IStochasticOperator;
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| 308 | if (stochasticOp != null) {
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| 309 | stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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| 310 | stochasticOp.RandomParameter.Hidden = true;
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| 311 | }
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[2986] | 312 | }
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| 313 | private void ParameterizeSelectors() {
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[3680] | 314 | foreach (ISelector selector in SelectorParameter.ValidValues) {
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[3048] | 315 | selector.CopySelected = new BoolValue(true);
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| 316 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
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[6051] | 317 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
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[2986] | 318 | ParameterizeStochasticOperator(selector);
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| 319 | }
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| 320 | if (Problem != null) {
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[3680] | 321 | foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
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[2986] | 322 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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[6051] | 323 | selector.MaximizationParameter.Hidden = true;
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[2986] | 324 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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[6051] | 325 | selector.QualityParameter.Hidden = true;
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[2986] | 326 | }
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| 327 | }
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| 328 | }
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[3616] | 329 | private void ParameterizeAnalyzers() {
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| 330 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
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[6051] | 331 | qualityAnalyzer.ResultsParameter.Hidden = true;
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[3616] | 332 | if (Problem != null) {
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| 333 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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[6051] | 334 | qualityAnalyzer.MaximizationParameter.Hidden = true;
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[3616] | 335 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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[3662] | 336 | qualityAnalyzer.QualityParameter.Depth = 1;
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[6051] | 337 | qualityAnalyzer.QualityParameter.Hidden = true;
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[3616] | 338 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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[6051] | 339 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
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[3616] | 340 | }
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| 341 | }
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[3750] | 342 | private void ParameterizeIterationBasedOperators() {
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| 343 | if (Problem != null) {
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| 344 | foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
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| 345 | op.IterationsParameter.ActualName = "Generations";
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[6051] | 346 | op.IterationsParameter.Hidden = true;
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[3750] | 347 | op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
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[6051] | 348 | op.MaximumIterationsParameter.Hidden = true;
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[3750] | 349 | }
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| 350 | }
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| 351 | }
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[2986] | 352 | private void UpdateCrossovers() {
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[3303] | 353 | ICrossover oldCrossover = CrossoverParameter.Value;
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| 354 | CrossoverParameter.ValidValues.Clear();
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[7493] | 355 | ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
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| 356 |
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[3303] | 357 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
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| 358 | CrossoverParameter.ValidValues.Add(crossover);
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[7493] | 359 |
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[3303] | 360 | if (oldCrossover != null) {
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| 361 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
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| 362 | if (crossover != null) CrossoverParameter.Value = crossover;
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[7509] | 363 | else oldCrossover = null;
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| 364 | }
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| 365 | if (oldCrossover == null && defaultCrossover != null)
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[7493] | 366 | CrossoverParameter.Value = defaultCrossover;
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[2986] | 367 | }
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| 368 | private void UpdateMutators() {
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[3303] | 369 | IManipulator oldMutator = MutatorParameter.Value;
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| 370 | MutatorParameter.ValidValues.Clear();
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| 371 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
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| 372 | MutatorParameter.ValidValues.Add(mutator);
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| 373 | if (oldMutator != null) {
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| 374 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
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| 375 | if (mutator != null) MutatorParameter.Value = mutator;
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[3076] | 376 | }
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[2986] | 377 | }
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[3616] | 378 | private void UpdateAnalyzers() {
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| 379 | Analyzer.Operators.Clear();
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| 380 | if (Problem != null) {
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[3816] | 381 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
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[3663] | 382 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
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| 383 | param.Depth = 1;
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[7172] | 384 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
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[3662] | 385 | }
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[3616] | 386 | }
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[7172] | 387 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
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[3616] | 388 | }
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[5366] | 389 | private GeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
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| 390 | IOperator mainLoop = start;
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| 391 | while (mainLoop != null && !(mainLoop is GeneticAlgorithmMainLoop))
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| 392 | mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
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| 393 | if (mainLoop == null) return null;
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| 394 | else return (GeneticAlgorithmMainLoop)mainLoop;
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| 395 | }
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[2986] | 396 | #endregion
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[2] | 397 | }
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| 398 | }
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