[3356] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[7270] | 3 | * Copyright (C) 2002-2012 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3356] | 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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[4068] | 24 | using HeuristicLab.Analysis;
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[3376] | 25 | using HeuristicLab.Common;
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[3356] | 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 | using HeuristicLab.PluginInfrastructure;
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[3368] | 34 | using HeuristicLab.Random;
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[3356] | 35 |
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| 36 | namespace HeuristicLab.Algorithms.GeneticAlgorithm {
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| 37 | /// <summary>
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| 38 | /// An island genetic algorithm.
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| 39 | /// </summary>
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| 40 | [Item("Island Genetic Algorithm", "An island genetic algorithm.")]
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| 41 | [Creatable("Algorithms")]
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| 42 | [StorableClass]
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[5809] | 43 | public sealed class IslandGeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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[4437] | 44 | public string Filename { get; set; }
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[3356] | 45 |
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| 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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[3356] | 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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[3356] | 52 | set { base.Problem = value; }
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| 53 | }
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| 54 | #endregion
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| 55 |
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| 56 | #region Parameter Properties
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| 57 | private ValueParameter<IntValue> SeedParameter {
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| 58 | get { return (ValueParameter<IntValue>)Parameters["Seed"]; }
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| 59 | }
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| 60 | private ValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 61 | get { return (ValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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| 62 | }
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| 63 | private ValueParameter<IntValue> NumberOfIslandsParameter {
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| 64 | get { return (ValueParameter<IntValue>)Parameters["NumberOfIslands"]; }
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| 65 | }
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| 66 | private ValueParameter<IntValue> MigrationIntervalParameter {
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| 67 | get { return (ValueParameter<IntValue>)Parameters["MigrationInterval"]; }
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| 68 | }
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| 69 | private ValueParameter<PercentValue> MigrationRateParameter {
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| 70 | get { return (ValueParameter<PercentValue>)Parameters["MigrationRate"]; }
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| 71 | }
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[6476] | 72 | public ConstrainedValueParameter<IMigrator> MigratorParameter {
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[3356] | 73 | get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
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| 74 | }
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[6476] | 75 | public ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
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[3356] | 76 | get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
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| 77 | }
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[6476] | 78 | public ConstrainedValueParameter<IReplacer> ImmigrationReplacerParameter {
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[3601] | 79 | get { return (ConstrainedValueParameter<IReplacer>)Parameters["ImmigrationReplacer"]; }
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[3356] | 80 | }
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| 81 | private ValueParameter<IntValue> PopulationSizeParameter {
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| 82 | get { return (ValueParameter<IntValue>)Parameters["PopulationSize"]; }
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| 83 | }
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[3609] | 84 | private ValueParameter<IntValue> MaximumGenerationsParameter {
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| 85 | get { return (ValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
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[3356] | 86 | }
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[6476] | 87 | public ConstrainedValueParameter<ISelector> SelectorParameter {
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[3356] | 88 | get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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| 89 | }
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[6476] | 90 | public ConstrainedValueParameter<ICrossover> CrossoverParameter {
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[3356] | 91 | get { return (ConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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| 92 | }
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| 93 | private ValueParameter<PercentValue> MutationProbabilityParameter {
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| 94 | get { return (ValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 95 | }
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[6476] | 96 | public OptionalConstrainedValueParameter<IManipulator> MutatorParameter {
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[3356] | 97 | get { return (OptionalConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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| 98 | }
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| 99 | private ValueParameter<IntValue> ElitesParameter {
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| 100 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
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| 101 | }
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[3658] | 102 | private ValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 103 | get { return (ValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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[3650] | 104 | }
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[3658] | 105 | private ValueParameter<MultiAnalyzer> IslandAnalyzerParameter {
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| 106 | get { return (ValueParameter<MultiAnalyzer>)Parameters["IslandAnalyzer"]; }
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[3650] | 107 | }
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[3356] | 108 | #endregion
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| 109 |
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| 110 | #region Properties
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| 111 | public IntValue Seed {
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| 112 | get { return SeedParameter.Value; }
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| 113 | set { SeedParameter.Value = value; }
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| 114 | }
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| 115 | public BoolValue SetSeedRandomly {
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| 116 | get { return SetSeedRandomlyParameter.Value; }
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| 117 | set { SetSeedRandomlyParameter.Value = value; }
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| 118 | }
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| 119 | public IntValue NumberOfIslands {
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| 120 | get { return NumberOfIslandsParameter.Value; }
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| 121 | set { NumberOfIslandsParameter.Value = value; }
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| 122 | }
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| 123 | public IntValue MigrationInterval {
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| 124 | get { return MigrationIntervalParameter.Value; }
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| 125 | set { MigrationIntervalParameter.Value = value; }
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| 126 | }
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| 127 | public PercentValue MigrationRate {
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| 128 | get { return MigrationRateParameter.Value; }
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| 129 | set { MigrationRateParameter.Value = value; }
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| 130 | }
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| 131 | public IMigrator Migrator {
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| 132 | get { return MigratorParameter.Value; }
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| 133 | set { MigratorParameter.Value = value; }
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| 134 | }
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| 135 | public ISelector EmigrantsSelector {
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| 136 | get { return EmigrantsSelectorParameter.Value; }
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| 137 | set { EmigrantsSelectorParameter.Value = value; }
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| 138 | }
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[3601] | 139 | public IReplacer ImmigrationReplacer {
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| 140 | get { return ImmigrationReplacerParameter.Value; }
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| 141 | set { ImmigrationReplacerParameter.Value = value; }
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[3356] | 142 | }
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| 143 | public IntValue PopulationSize {
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| 144 | get { return PopulationSizeParameter.Value; }
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| 145 | set { PopulationSizeParameter.Value = value; }
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| 146 | }
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[3609] | 147 | public IntValue MaximumGenerations {
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| 148 | get { return MaximumGenerationsParameter.Value; }
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| 149 | set { MaximumGenerationsParameter.Value = value; }
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[3356] | 150 | }
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| 151 | public ISelector Selector {
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| 152 | get { return SelectorParameter.Value; }
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| 153 | set { SelectorParameter.Value = value; }
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| 154 | }
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| 155 | public ICrossover Crossover {
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| 156 | get { return CrossoverParameter.Value; }
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| 157 | set { CrossoverParameter.Value = value; }
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| 158 | }
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| 159 | public PercentValue MutationProbability {
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| 160 | get { return MutationProbabilityParameter.Value; }
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| 161 | set { MutationProbabilityParameter.Value = value; }
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| 162 | }
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| 163 | public IManipulator Mutator {
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| 164 | get { return MutatorParameter.Value; }
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| 165 | set { MutatorParameter.Value = value; }
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| 166 | }
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| 167 | public IntValue Elites {
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| 168 | get { return ElitesParameter.Value; }
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| 169 | set { ElitesParameter.Value = value; }
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| 170 | }
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[3658] | 171 | public MultiAnalyzer Analyzer {
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[3650] | 172 | get { return AnalyzerParameter.Value; }
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| 173 | set { AnalyzerParameter.Value = value; }
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| 174 | }
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[3658] | 175 | public MultiAnalyzer IslandAnalyzer {
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[3650] | 176 | get { return IslandAnalyzerParameter.Value; }
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| 177 | set { IslandAnalyzerParameter.Value = value; }
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| 178 | }
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[3359] | 179 | private RandomCreator RandomCreator {
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| 180 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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| 181 | }
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[3429] | 182 | private UniformSubScopesProcessor IslandProcessor {
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| 183 | get { return ((RandomCreator.Successor as SubScopesCreator).Successor as UniformSubScopesProcessor); }
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| 184 | }
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[3359] | 185 | private SolutionsCreator SolutionsCreator {
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[3429] | 186 | get { return (SolutionsCreator)IslandProcessor.Operator; }
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[3359] | 187 | }
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| 188 | private IslandGeneticAlgorithmMainLoop MainLoop {
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[5366] | 189 | get { return FindMainLoop(IslandProcessor.Successor); }
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[3359] | 190 | }
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[3689] | 191 | [Storable]
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[3662] | 192 | private BestAverageWorstQualityAnalyzer islandQualityAnalyzer;
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[3689] | 193 | [Storable]
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[3671] | 194 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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[3356] | 195 | #endregion
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| 196 |
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| 197 | [StorableConstructor]
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| 198 | private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
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[4722] | 199 | [StorableHook(HookType.AfterDeserialization)]
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| 200 | private void AfterDeserialization() {
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| 201 | Initialize();
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| 202 | }
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| 203 | private IslandGeneticAlgorithm(IslandGeneticAlgorithm original, Cloner cloner)
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| 204 | : base(original, cloner) {
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| 205 | islandQualityAnalyzer = cloner.Clone(original.islandQualityAnalyzer);
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| 206 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 207 | Initialize();
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| 208 | }
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| 209 | public override IDeepCloneable Clone(Cloner cloner) {
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| 210 | return new IslandGeneticAlgorithm(this, cloner);
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| 211 | }
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| 212 |
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[3356] | 213 | public IslandGeneticAlgorithm()
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| 214 | : base() {
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| 215 | 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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| 216 | 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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| 217 | Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
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| 218 | Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
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| 219 | Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
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| 220 | Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
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| 221 | Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
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[3601] | 222 | Parameters.Add(new ConstrainedValueParameter<IReplacer>("ImmigrationReplacer", "Selects the population from the unification of the original population and the immigrants."));
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[3356] | 223 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
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[3609] | 224 | Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
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[3356] | 225 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 226 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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| 227 | 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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| 228 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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| 229 | 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] | 230 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
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| 231 | Parameters.Add(new ValueParameter<MultiAnalyzer>("IslandAnalyzer", "The operator used to analyze each island.", new MultiAnalyzer()));
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[4068] | 232 |
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[3359] | 233 | RandomCreator randomCreator = new RandomCreator();
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[3356] | 234 | SubScopesCreator populationCreator = new SubScopesCreator();
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| 235 | UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
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[3359] | 236 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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[5351] | 237 | VariableCreator variableCreator = new VariableCreator();
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| 238 | UniformSubScopesProcessor ussp2 = new UniformSubScopesProcessor();
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| 239 | SubScopesCounter subScopesCounter = new SubScopesCounter();
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[5356] | 240 | ResultsCollector resultsCollector = new ResultsCollector();
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[3359] | 241 | IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
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[3356] | 242 | OperatorGraph.InitialOperator = randomCreator;
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| 243 |
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| 244 | randomCreator.RandomParameter.ActualName = "Random";
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| 245 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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| 246 | randomCreator.SeedParameter.Value = null;
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| 247 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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| 248 | randomCreator.SetSeedRandomlyParameter.Value = null;
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| 249 | randomCreator.Successor = populationCreator;
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| 250 |
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| 251 | populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
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| 252 | populationCreator.Successor = ussp1;
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| 253 |
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| 254 | ussp1.Operator = solutionsCreator;
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[5351] | 255 | ussp1.Successor = variableCreator;
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[3356] | 256 |
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| 257 | solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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| 258 | solutionsCreator.Successor = null;
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| 259 |
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[5351] | 260 | variableCreator.Name = "Initialize EvaluatedSolutions";
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| 261 | variableCreator.CollectedValues.Add(new ValueParameter<IntValue>("EvaluatedSolutions", new IntValue()));
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| 262 | variableCreator.Successor = ussp2;
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| 263 |
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| 264 | ussp2.Operator = subScopesCounter;
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[5356] | 265 | ussp2.Successor = resultsCollector;
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[5351] | 266 |
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| 267 | subScopesCounter.Name = "Count EvaluatedSolutions";
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| 268 | subScopesCounter.ValueParameter.ActualName = "EvaluatedSolutions";
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| 269 | subScopesCounter.Successor = null;
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| 270 |
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[5356] | 271 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
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| 272 | resultsCollector.ResultsParameter.ActualName = "Results";
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| 273 | resultsCollector.Successor = mainLoop;
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| 274 |
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[3356] | 275 | mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
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[3601] | 276 | mainLoop.ImmigrationReplacerParameter.ActualName = ImmigrationReplacerParameter.Name;
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[3609] | 277 | mainLoop.MaximumGenerationsParameter.ActualName = MaximumGenerationsParameter.Name;
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[3356] | 278 | mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
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| 279 | mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
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| 280 | mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
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| 281 | mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
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| 282 | mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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| 283 | mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 284 | mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
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| 285 | mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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| 286 | mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 287 | mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
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| 288 | mainLoop.ResultsParameter.ActualName = "Results";
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[3650] | 289 | mainLoop.AnalyzerParameter.ActualName = AnalyzerParameter.Name;
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| 290 | mainLoop.IslandAnalyzerParameter.ActualName = IslandAnalyzerParameter.Name;
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[5351] | 291 | mainLoop.EvaluatedSolutionsParameter.ActualName = "EvaluatedSolutions";
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[3356] | 292 | mainLoop.Successor = null;
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| 293 |
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[3689] | 294 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
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| 295 | SelectorParameter.ValidValues.Add(selector);
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| 296 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
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| 297 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
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| 298 |
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| 299 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
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| 300 | EmigrantsSelectorParameter.ValidValues.Add(selector);
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| 301 |
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| 302 | foreach (IReplacer replacer in ApplicationManager.Manager.GetInstances<IReplacer>().OrderBy(x => x.Name))
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| 303 | ImmigrationReplacerParameter.ValidValues.Add(replacer);
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| 304 |
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| 305 | ParameterizeSelectors();
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| 306 |
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| 307 | foreach (IMigrator migrator in ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name))
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| 308 | MigratorParameter.ValidValues.Add(migrator);
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| 309 |
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| 310 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 311 | islandQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 312 | ParameterizeAnalyzers();
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| 313 | UpdateAnalyzers();
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| 314 |
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[3356] | 315 | Initialize();
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| 316 | }
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| 317 |
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| 318 | public override void Prepare() {
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| 319 | if (Problem != null) base.Prepare();
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| 320 | }
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| 321 |
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| 322 | #region Events
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| 323 | protected override void OnProblemChanged() {
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| 324 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 325 | ParameterizeStochasticOperator(Problem.Evaluator);
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| 326 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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| 327 | ParameterizeSolutionsCreator();
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| 328 | ParameterizeMainLoop();
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| 329 | ParameterizeSelectors();
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[3650] | 330 | ParameterizeAnalyzers();
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[3750] | 331 | ParameterizeIterationBasedOperators();
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[3356] | 332 | UpdateCrossovers();
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| 333 | UpdateMutators();
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[3650] | 334 | UpdateAnalyzers();
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[3356] | 335 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 336 | base.OnProblemChanged();
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| 337 | }
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| 338 |
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| 339 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 340 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 341 | ParameterizeSolutionsCreator();
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| 342 | base.Problem_SolutionCreatorChanged(sender, e);
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| 343 | }
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| 344 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 345 | ParameterizeStochasticOperator(Problem.Evaluator);
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| 346 | ParameterizeSolutionsCreator();
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| 347 | ParameterizeMainLoop();
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| 348 | ParameterizeSelectors();
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[3650] | 349 | ParameterizeAnalyzers();
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[3356] | 350 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 351 | base.Problem_EvaluatorChanged(sender, e);
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| 352 | }
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| 353 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 354 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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[3750] | 355 | ParameterizeIterationBasedOperators();
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[3356] | 356 | UpdateCrossovers();
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| 357 | UpdateMutators();
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[3650] | 358 | UpdateAnalyzers();
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[3356] | 359 | base.Problem_OperatorsChanged(sender, e);
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| 360 | }
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| 361 | private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
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| 362 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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| 363 | ParameterizeSelectors();
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| 364 | }
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| 365 | private void Elites_ValueChanged(object sender, EventArgs e) {
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| 366 | ParameterizeSelectors();
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| 367 | }
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| 368 | private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
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| 369 | NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 370 | ParameterizeSelectors();
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| 371 | }
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| 372 | private void PopulationSize_ValueChanged(object sender, EventArgs e) {
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| 373 | ParameterizeSelectors();
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| 374 | }
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| 375 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 376 | ParameterizeMainLoop();
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| 377 | ParameterizeSelectors();
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[3650] | 378 | ParameterizeAnalyzers();
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[3356] | 379 | }
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| 380 | private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
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| 381 | MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
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| 382 | ParameterizeSelectors();
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| 383 | }
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| 384 | private void MigrationRate_ValueChanged(object sender, EventArgs e) {
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| 385 | ParameterizeSelectors();
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| 386 | }
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| 387 | #endregion
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| 388 |
|
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| 389 | #region Helpers
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| 390 | private void Initialize() {
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| 391 | PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
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| 392 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 393 | MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
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| 394 | MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
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| 395 | ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
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| 396 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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| 397 | if (Problem != null) {
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| 398 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
|
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| 399 | }
|
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| 400 | }
|
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| 401 | private void ParameterizeSolutionsCreator() {
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[3359] | 402 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
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| 403 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
|
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[3356] | 404 | }
|
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| 405 | private void ParameterizeMainLoop() {
|
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[3359] | 406 | MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
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| 407 | MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
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| 408 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
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| 409 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
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[3356] | 410 | }
|
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| 411 | private void ParameterizeStochasticOperator(IOperator op) {
|
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[6051] | 412 | IStochasticOperator stochasticOp = op as IStochasticOperator;
|
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| 413 | if (stochasticOp != null) {
|
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| 414 | stochasticOp.RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
|
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| 415 | stochasticOp.RandomParameter.Hidden = true;
|
---|
| 416 | }
|
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[3356] | 417 | }
|
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| 418 | private void ParameterizeSelectors() {
|
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[3689] | 419 | foreach (ISelector selector in SelectorParameter.ValidValues) {
|
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[3356] | 420 | selector.CopySelected = new BoolValue(true);
|
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| 421 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
|
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[6051] | 422 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
---|
[3356] | 423 | ParameterizeStochasticOperator(selector);
|
---|
| 424 | }
|
---|
[3689] | 425 | foreach (ISelector selector in EmigrantsSelectorParameter.ValidValues) {
|
---|
[3356] | 426 | selector.CopySelected = new BoolValue(true);
|
---|
| 427 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
|
---|
[6051] | 428 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
---|
[3356] | 429 | ParameterizeStochasticOperator(selector);
|
---|
| 430 | }
|
---|
[3689] | 431 | foreach (IReplacer replacer in ImmigrationReplacerParameter.ValidValues) {
|
---|
[3601] | 432 | ParameterizeStochasticOperator(replacer);
|
---|
[3356] | 433 | }
|
---|
| 434 | if (Problem != null) {
|
---|
[3689] | 435 | foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
[3356] | 436 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
[6051] | 437 | selector.MaximizationParameter.Hidden = true;
|
---|
[3356] | 438 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[6051] | 439 | selector.QualityParameter.Hidden = true;
|
---|
[3356] | 440 | }
|
---|
[3689] | 441 | foreach (ISingleObjectiveSelector selector in EmigrantsSelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
[3356] | 442 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
[6051] | 443 | selector.MaximizationParameter.Hidden = true;
|
---|
[3356] | 444 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[6051] | 445 | selector.QualityParameter.Hidden = true;
|
---|
[3356] | 446 | }
|
---|
[3689] | 447 | foreach (ISingleObjectiveReplacer selector in ImmigrationReplacerParameter.ValidValues.OfType<ISingleObjectiveReplacer>()) {
|
---|
[3356] | 448 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
[6051] | 449 | selector.MaximizationParameter.Hidden = true;
|
---|
[3356] | 450 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[6051] | 451 | selector.QualityParameter.Hidden = true;
|
---|
[3356] | 452 | }
|
---|
| 453 | }
|
---|
| 454 | }
|
---|
[3650] | 455 | private void ParameterizeAnalyzers() {
|
---|
| 456 | islandQualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
[6051] | 457 | islandQualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
[3673] | 458 | islandQualityAnalyzer.QualityParameter.Depth = 1;
|
---|
[3671] | 459 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
[6051] | 460 | qualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
[3673] | 461 | qualityAnalyzer.QualityParameter.Depth = 2;
|
---|
| 462 |
|
---|
[3650] | 463 | if (Problem != null) {
|
---|
| 464 | islandQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
[6051] | 465 | islandQualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
[3650] | 466 | islandQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[6051] | 467 | islandQualityAnalyzer.QualityParameter.Hidden = true;
|
---|
[3650] | 468 | islandQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
[6051] | 469 | islandQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
[3671] | 470 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
[6051] | 471 | qualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
[3671] | 472 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[6051] | 473 | qualityAnalyzer.QualityParameter.Hidden = true;
|
---|
[3671] | 474 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
[6051] | 475 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
[3650] | 476 | }
|
---|
| 477 | }
|
---|
[3750] | 478 | private void ParameterizeIterationBasedOperators() {
|
---|
| 479 | if (Problem != null) {
|
---|
| 480 | foreach (IIterationBasedOperator op in Problem.Operators.OfType<IIterationBasedOperator>()) {
|
---|
| 481 | op.IterationsParameter.ActualName = "Generations";
|
---|
[6051] | 482 | op.IterationsParameter.Hidden = true;
|
---|
[3750] | 483 | op.MaximumIterationsParameter.ActualName = "MaximumGenerations";
|
---|
[6051] | 484 | op.MaximumIterationsParameter.Hidden = true;
|
---|
[3750] | 485 | }
|
---|
| 486 | }
|
---|
| 487 | }
|
---|
[3356] | 488 | private void UpdateCrossovers() {
|
---|
| 489 | ICrossover oldCrossover = CrossoverParameter.Value;
|
---|
| 490 | CrossoverParameter.ValidValues.Clear();
|
---|
| 491 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
|
---|
| 492 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
| 493 | if (oldCrossover != null) {
|
---|
| 494 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
|
---|
| 495 | if (crossover != null) CrossoverParameter.Value = crossover;
|
---|
| 496 | }
|
---|
| 497 | }
|
---|
| 498 | private void UpdateMutators() {
|
---|
| 499 | IManipulator oldMutator = MutatorParameter.Value;
|
---|
| 500 | MutatorParameter.ValidValues.Clear();
|
---|
| 501 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
|
---|
| 502 | MutatorParameter.ValidValues.Add(mutator);
|
---|
| 503 | if (oldMutator != null) {
|
---|
| 504 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
---|
| 505 | if (mutator != null) MutatorParameter.Value = mutator;
|
---|
| 506 | }
|
---|
| 507 | }
|
---|
[3650] | 508 | private void UpdateAnalyzers() {
|
---|
| 509 | IslandAnalyzer.Operators.Clear();
|
---|
| 510 | Analyzer.Operators.Clear();
|
---|
[7215] | 511 | IslandAnalyzer.Operators.Add(islandQualityAnalyzer, islandQualityAnalyzer.EnabledByDefault);
|
---|
[3650] | 512 | if (Problem != null) {
|
---|
[3816] | 513 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
---|
[3671] | 514 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
|
---|
| 515 | param.Depth = 2;
|
---|
[7215] | 516 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
---|
[3650] | 517 | }
|
---|
| 518 | }
|
---|
[7215] | 519 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
|
---|
[3650] | 520 | }
|
---|
[5366] | 521 | private IslandGeneticAlgorithmMainLoop FindMainLoop(IOperator start) {
|
---|
| 522 | IOperator mainLoop = start;
|
---|
| 523 | while (mainLoop != null && !(mainLoop is IslandGeneticAlgorithmMainLoop))
|
---|
| 524 | mainLoop = ((SingleSuccessorOperator)mainLoop).Successor;
|
---|
| 525 | if (mainLoop == null) return null;
|
---|
| 526 | else return (IslandGeneticAlgorithmMainLoop)mainLoop;
|
---|
| 527 | }
|
---|
[3356] | 528 | #endregion
|
---|
| 529 | }
|
---|
| 530 | }
|
---|