[3356] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using System;
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| 23 | using System.Collections.Generic;
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| 24 | using System.Linq;
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[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 | using HeuristicLab.Selection;
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| 36 |
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| 37 | namespace HeuristicLab.Algorithms.GeneticAlgorithm {
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| 38 | /// <summary>
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| 39 | /// An island genetic algorithm.
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| 40 | /// </summary>
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| 41 | [Item("Island Genetic Algorithm", "An island genetic algorithm.")]
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| 42 | [Creatable("Algorithms")]
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| 43 | [StorableClass]
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| 44 | public sealed class IslandGeneticAlgorithm : EngineAlgorithm {
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| 45 |
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| 46 | #region Problem Properties
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| 47 | public override Type ProblemType {
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| 48 | get { return typeof(ISingleObjectiveProblem); }
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| 49 | }
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| 50 | public new ISingleObjectiveProblem Problem {
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| 51 | get { return (ISingleObjectiveProblem)base.Problem; }
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| 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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| 72 | private ConstrainedValueParameter<IMigrator> MigratorParameter {
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| 73 | get { return (ConstrainedValueParameter<IMigrator>)Parameters["Migrator"]; }
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| 74 | }
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| 75 | private ConstrainedValueParameter<ISelector> EmigrantsSelectorParameter {
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| 76 | get { return (ConstrainedValueParameter<ISelector>)Parameters["EmigrantsSelector"]; }
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| 77 | }
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| 78 | private ConstrainedValueParameter<ISelector> ImmigrationSelectorParameter {
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| 79 | get { return (ConstrainedValueParameter<ISelector>)Parameters["ImmigrationSelector"]; }
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| 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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| 84 | private ValueParameter<IntValue> MaximumMigrationsParameter {
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| 85 | get { return (ValueParameter<IntValue>)Parameters["MaximumMigrations"]; }
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| 86 | }
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| 87 | private ConstrainedValueParameter<ISelector> SelectorParameter {
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| 88 | get { return (ConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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| 89 | }
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| 90 | private ConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 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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| 96 | private OptionalConstrainedValueParameter<IManipulator> MutatorParameter {
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| 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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| 102 | private ValueParameter<BoolValue> ParallelParameter {
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| 103 | get { return (ValueParameter<BoolValue>)Parameters["Parallel"]; }
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| 104 | }
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| 105 | #endregion
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| 106 |
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| 107 | #region Properties
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| 108 | public IntValue Seed {
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| 109 | get { return SeedParameter.Value; }
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| 110 | set { SeedParameter.Value = value; }
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| 111 | }
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| 112 | public BoolValue SetSeedRandomly {
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| 113 | get { return SetSeedRandomlyParameter.Value; }
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| 114 | set { SetSeedRandomlyParameter.Value = value; }
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| 115 | }
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| 116 | public IntValue NumberOfIslands {
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| 117 | get { return NumberOfIslandsParameter.Value; }
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| 118 | set { NumberOfIslandsParameter.Value = value; }
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| 119 | }
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| 120 | public IntValue MigrationInterval {
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| 121 | get { return MigrationIntervalParameter.Value; }
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| 122 | set { MigrationIntervalParameter.Value = value; }
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| 123 | }
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| 124 | public PercentValue MigrationRate {
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| 125 | get { return MigrationRateParameter.Value; }
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| 126 | set { MigrationRateParameter.Value = value; }
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| 127 | }
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| 128 | public IMigrator Migrator {
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| 129 | get { return MigratorParameter.Value; }
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| 130 | set { MigratorParameter.Value = value; }
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| 131 | }
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| 132 | public ISelector EmigrantsSelector {
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| 133 | get { return EmigrantsSelectorParameter.Value; }
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| 134 | set { EmigrantsSelectorParameter.Value = value; }
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| 135 | }
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| 136 | public ISelector ImmigrationSelector {
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| 137 | get { return ImmigrationSelectorParameter.Value; }
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| 138 | set { ImmigrationSelectorParameter.Value = value; }
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| 139 | }
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| 140 | public IntValue PopulationSize {
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| 141 | get { return PopulationSizeParameter.Value; }
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| 142 | set { PopulationSizeParameter.Value = value; }
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| 143 | }
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| 144 | public IntValue MaximumMigrations {
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| 145 | get { return MaximumMigrationsParameter.Value; }
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| 146 | set { MaximumMigrationsParameter.Value = value; }
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| 147 | }
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| 148 | public ISelector Selector {
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| 149 | get { return SelectorParameter.Value; }
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| 150 | set { SelectorParameter.Value = value; }
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| 151 | }
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| 152 | public ICrossover Crossover {
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| 153 | get { return CrossoverParameter.Value; }
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| 154 | set { CrossoverParameter.Value = value; }
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| 155 | }
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| 156 | public PercentValue MutationProbability {
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| 157 | get { return MutationProbabilityParameter.Value; }
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| 158 | set { MutationProbabilityParameter.Value = value; }
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| 159 | }
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| 160 | public IManipulator Mutator {
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| 161 | get { return MutatorParameter.Value; }
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| 162 | set { MutatorParameter.Value = value; }
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| 163 | }
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| 164 | public IntValue Elites {
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| 165 | get { return ElitesParameter.Value; }
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| 166 | set { ElitesParameter.Value = value; }
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| 167 | }
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| 168 | public BoolValue Parallel {
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| 169 | get { return ParallelParameter.Value; }
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| 170 | set { ParallelParameter.Value = value; }
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| 171 | }
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| 172 | private List<ISelector> selectors;
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| 173 | private IEnumerable<ISelector> Selectors {
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| 174 | get { return selectors; }
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| 175 | }
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| 176 | private List<ISelector> emigrantsSelectors;
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| 177 | private List<ISelector> immigrationSelectors;
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| 178 | private List<IMigrator> migrators;
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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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[3429] | 189 | get { return (IslandGeneticAlgorithmMainLoop)IslandProcessor.Successor; }
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[3359] | 190 | }
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[3356] | 191 | #endregion
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| 192 |
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| 193 | [StorableConstructor]
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| 194 | private IslandGeneticAlgorithm(bool deserializing) : base(deserializing) { }
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| 195 | public IslandGeneticAlgorithm()
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| 196 | : base() {
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| 197 | 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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| 198 | 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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| 199 | Parameters.Add(new ValueParameter<IntValue>("NumberOfIslands", "The number of islands.", new IntValue(5)));
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| 200 | Parameters.Add(new ValueParameter<IntValue>("MigrationInterval", "The number of generations that should pass between migration phases.", new IntValue(20)));
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| 201 | Parameters.Add(new ValueParameter<PercentValue>("MigrationRate", "The proportion of individuals that should migrate between the islands.", new PercentValue(0.15)));
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| 202 | Parameters.Add(new ConstrainedValueParameter<IMigrator>("Migrator", "The migration strategy."));
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| 203 | Parameters.Add(new ConstrainedValueParameter<ISelector>("EmigrantsSelector", "Selects the individuals that will be migrated."));
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| 204 | Parameters.Add(new ConstrainedValueParameter<ISelector>("ImmigrationSelector", "Selects the population from the unification of the original population and the immigrants."));
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| 205 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions.", new IntValue(100)));
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| 206 | Parameters.Add(new ValueParameter<IntValue>("MaximumMigrations", "The maximum number of migrations that should occur.", new IntValue(100)));
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| 207 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 208 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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| 209 | 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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| 210 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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| 211 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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| 212 | Parameters.Add(new ValueParameter<BoolValue>("Parallel", "True if the islands should be run in parallel (also requires a parallel engine)", new BoolValue(false)));
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| 213 |
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[3359] | 214 | RandomCreator randomCreator = new RandomCreator();
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[3356] | 215 | SubScopesCreator populationCreator = new SubScopesCreator();
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| 216 | UniformSubScopesProcessor ussp1 = new UniformSubScopesProcessor();
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[3359] | 217 | SolutionsCreator solutionsCreator = new SolutionsCreator();
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| 218 | IslandGeneticAlgorithmMainLoop mainLoop = new IslandGeneticAlgorithmMainLoop();
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[3356] | 219 | OperatorGraph.InitialOperator = randomCreator;
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| 220 |
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| 221 | randomCreator.RandomParameter.ActualName = "Random";
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| 222 | randomCreator.SeedParameter.ActualName = SeedParameter.Name;
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| 223 | randomCreator.SeedParameter.Value = null;
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| 224 | randomCreator.SetSeedRandomlyParameter.ActualName = SetSeedRandomlyParameter.Name;
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| 225 | randomCreator.SetSeedRandomlyParameter.Value = null;
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| 226 | randomCreator.Successor = populationCreator;
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| 227 |
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| 228 | populationCreator.NumberOfSubScopesParameter.ActualName = NumberOfIslandsParameter.Name;
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| 229 | populationCreator.Successor = ussp1;
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| 230 |
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[3429] | 231 | ussp1.Parallel = null;
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| 232 | ussp1.ParallelParameter.ActualName = ParallelParameter.Name;
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[3356] | 233 | ussp1.Operator = solutionsCreator;
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| 234 | ussp1.Successor = mainLoop;
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| 235 |
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| 236 | solutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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| 237 | solutionsCreator.Successor = null;
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| 238 |
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| 239 | mainLoop.EmigrantsSelectorParameter.ActualName = EmigrantsSelectorParameter.Name;
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| 240 | mainLoop.ImmigrationSelectorParameter.ActualName = ImmigrationSelectorParameter.Name;
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| 241 | mainLoop.MaximumMigrationsParameter.ActualName = MaximumMigrationsParameter.Name;
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| 242 | mainLoop.MigrationIntervalParameter.ActualName = MigrationIntervalParameter.Name;
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| 243 | mainLoop.MigrationRateParameter.ActualName = MigrationRateParameter.Name;
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| 244 | mainLoop.MigratorParameter.ActualName = MigratorParameter.Name;
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| 245 | mainLoop.NumberOfIslandsParameter.ActualName = NumberOfIslandsParameter.Name;
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| 246 | mainLoop.SelectorParameter.ActualName = SelectorParameter.Name;
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| 247 | mainLoop.CrossoverParameter.ActualName = CrossoverParameter.Name;
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| 248 | mainLoop.ElitesParameter.ActualName = ElitesParameter.Name;
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| 249 | mainLoop.MutatorParameter.ActualName = MutatorParameter.Name;
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| 250 | mainLoop.MutationProbabilityParameter.ActualName = MutationProbabilityParameter.Name;
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| 251 | mainLoop.RandomParameter.ActualName = randomCreator.RandomParameter.ActualName;
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| 252 | mainLoop.ResultsParameter.ActualName = "Results";
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| 253 |
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| 254 | mainLoop.Successor = null;
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| 255 |
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| 256 | Initialize();
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| 257 | }
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| 258 |
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| 259 | public override IDeepCloneable Clone(Cloner cloner) {
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| 260 | IslandGeneticAlgorithm clone = (IslandGeneticAlgorithm)base.Clone(cloner);
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| 261 | clone.Initialize();
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| 262 | return clone;
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| 263 | }
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| 264 |
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| 265 | public override void Prepare() {
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| 266 | if (Problem != null) base.Prepare();
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| 267 | }
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| 268 |
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| 269 | #region Events
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| 270 | protected override void OnProblemChanged() {
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| 271 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 272 | ParameterizeStochasticOperator(Problem.Evaluator);
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| 273 | ParameterizeStochasticOperator(Problem.Visualizer);
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| 274 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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| 275 | ParameterizeSolutionsCreator();
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| 276 | ParameterizeMainLoop();
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| 277 | ParameterizeSelectors();
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| 278 | UpdateCrossovers();
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| 279 | UpdateMutators();
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| 280 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 281 | if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
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| 282 | base.OnProblemChanged();
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| 283 | }
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| 284 |
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| 285 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 286 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 287 | ParameterizeSolutionsCreator();
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| 288 | base.Problem_SolutionCreatorChanged(sender, e);
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| 289 | }
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| 290 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 291 | ParameterizeStochasticOperator(Problem.Evaluator);
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| 292 | ParameterizeSolutionsCreator();
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| 293 | ParameterizeMainLoop();
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| 294 | ParameterizeSelectors();
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| 295 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 296 | base.Problem_EvaluatorChanged(sender, e);
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| 297 | }
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| 298 | protected override void Problem_VisualizerChanged(object sender, EventArgs e) {
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| 299 | ParameterizeStochasticOperator(Problem.Visualizer);
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| 300 | ParameterizeMainLoop();
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| 301 | if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
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| 302 | base.Problem_VisualizerChanged(sender, e);
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| 303 | }
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| 304 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 305 | foreach (IOperator op in Problem.Operators) ParameterizeStochasticOperator(op);
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| 306 | UpdateCrossovers();
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| 307 | UpdateMutators();
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| 308 | base.Problem_OperatorsChanged(sender, e);
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| 309 | }
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| 310 | private void ElitesParameter_ValueChanged(object sender, EventArgs e) {
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| 311 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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| 312 | ParameterizeSelectors();
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| 313 | }
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| 314 | private void Elites_ValueChanged(object sender, EventArgs e) {
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| 315 | ParameterizeSelectors();
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| 316 | }
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| 317 | private void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
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| 318 | NumberOfIslands.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 319 | ParameterizeSelectors();
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| 320 | }
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| 321 | private void PopulationSize_ValueChanged(object sender, EventArgs e) {
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| 322 | ParameterizeSelectors();
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| 323 | }
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| 324 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 325 | ParameterizeMainLoop();
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| 326 | ParameterizeSelectors();
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| 327 | }
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| 328 | private void Visualizer_VisualizationParameter_ActualNameChanged(object sender, EventArgs e) {
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| 329 | ParameterizeMainLoop();
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| 330 | }
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| 331 | private void MigrationRateParameter_ValueChanged(object sender, EventArgs e) {
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| 332 | MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
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| 333 | ParameterizeSelectors();
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| 334 | }
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| 335 | private void MigrationRate_ValueChanged(object sender, EventArgs e) {
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| 336 | ParameterizeSelectors();
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| 337 | }
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| 338 | #endregion
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| 339 |
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| 340 | #region Helpers
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| 341 | [StorableHook(HookType.AfterDeserialization)]
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| 342 | private void Initialize() {
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| 343 | InitializeSelectors();
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| 344 | UpdateSelectors();
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| 345 | InitializeMigrators();
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| 346 | UpdateMigrators();
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| 347 | PopulationSizeParameter.ValueChanged += new EventHandler(PopulationSizeParameter_ValueChanged);
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| 348 | PopulationSize.ValueChanged += new EventHandler(PopulationSize_ValueChanged);
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| 349 | MigrationRateParameter.ValueChanged += new EventHandler(MigrationRateParameter_ValueChanged);
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| 350 | MigrationRate.ValueChanged += new EventHandler(MigrationRate_ValueChanged);
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| 351 | ElitesParameter.ValueChanged += new EventHandler(ElitesParameter_ValueChanged);
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| 352 | Elites.ValueChanged += new EventHandler(Elites_ValueChanged);
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| 353 | if (Problem != null) {
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| 354 | UpdateCrossovers();
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| 355 | UpdateMutators();
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| 356 | Problem.Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 357 | if (Problem.Visualizer != null) Problem.Visualizer.VisualizationParameter.ActualNameChanged += new EventHandler(Visualizer_VisualizationParameter_ActualNameChanged);
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| 358 | }
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| 359 | }
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| 360 | private void ParameterizeSolutionsCreator() {
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[3359] | 361 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 362 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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[3356] | 363 | }
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| 364 | private void ParameterizeMainLoop() {
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[3359] | 365 | MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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| 366 | MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 367 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 368 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 369 | MainLoop.VisualizerParameter.ActualName = Problem.VisualizerParameter.Name;
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[3356] | 370 | if (Problem.Visualizer != null)
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[3359] | 371 | MainLoop.VisualizationParameter.ActualName = Problem.Visualizer.VisualizationParameter.ActualName;
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[3356] | 372 | }
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| 373 | private void ParameterizeStochasticOperator(IOperator op) {
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| 374 | if (op is IStochasticOperator)
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[3359] | 375 | ((IStochasticOperator)op).RandomParameter.ActualName = RandomCreator.RandomParameter.ActualName;
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[3356] | 376 | }
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| 377 | private void InitializeSelectors() {
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| 378 | selectors = new List<ISelector>();
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| 379 | selectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
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| 380 | emigrantsSelectors = new List<ISelector>();
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| 381 | emigrantsSelectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
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| 382 | immigrationSelectors = new List<ISelector>();
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| 383 | immigrationSelectors.AddRange(ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name));
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| 384 | ParameterizeSelectors();
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| 385 | }
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| 386 | private void InitializeMigrators() {
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| 387 | migrators = new List<IMigrator>();
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| 388 | migrators.AddRange(ApplicationManager.Manager.GetInstances<IMigrator>().OrderBy(x => x.Name));
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| 389 | UpdateMigrators();
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| 390 | }
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| 391 | private void ParameterizeSelectors() {
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| 392 | foreach (ISelector selector in Selectors) {
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| 393 | selector.CopySelected = new BoolValue(true);
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| 394 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
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| 395 | ParameterizeStochasticOperator(selector);
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| 396 | }
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| 397 | foreach (ISelector selector in emigrantsSelectors) {
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| 398 | selector.CopySelected = new BoolValue(true);
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| 399 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue((int)Math.Ceiling(PopulationSize.Value * MigrationRate.Value));
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| 400 | ParameterizeStochasticOperator(selector);
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| 401 | }
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| 402 | foreach (ISelector selector in immigrationSelectors) {
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| 403 | selector.CopySelected = new BoolValue(false);
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| 404 | selector.NumberOfSelectedSubScopesParameter.Value = PopulationSize;
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| 405 | ParameterizeStochasticOperator(selector);
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| 406 | }
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| 407 | if (Problem != null) {
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| 408 | foreach (ISingleObjectiveSelector selector in Selectors.OfType<ISingleObjectiveSelector>()) {
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| 409 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 410 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 411 | }
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| 412 | foreach (ISingleObjectiveSelector selector in emigrantsSelectors.OfType<ISingleObjectiveSelector>()) {
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| 413 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 414 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 415 | }
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| 416 | foreach (ISingleObjectiveSelector selector in immigrationSelectors.OfType<ISingleObjectiveSelector>()) {
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| 417 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 418 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 419 | }
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| 420 | }
|
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| 421 | }
|
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| 422 | private void UpdateSelectors() {
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| 423 | ISelector oldSelector = SelectorParameter.Value;
|
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| 424 | SelectorParameter.ValidValues.Clear();
|
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| 425 | foreach (ISelector selector in Selectors.OrderBy(x => x.Name))
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| 426 | SelectorParameter.ValidValues.Add(selector);
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| 427 |
|
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| 428 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
|
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| 429 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
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| 430 |
|
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| 431 | if (oldSelector != null) {
|
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| 432 | ISelector selector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
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| 433 | if (selector != null) SelectorParameter.Value = selector;
|
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| 434 | }
|
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| 435 |
|
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| 436 | oldSelector = EmigrantsSelector;
|
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| 437 | EmigrantsSelectorParameter.ValidValues.Clear();
|
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| 438 | foreach (ISelector selector in emigrantsSelectors)
|
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| 439 | EmigrantsSelectorParameter.ValidValues.Add(selector);
|
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| 440 | if (oldSelector != null) {
|
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| 441 | ISelector selector = EmigrantsSelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
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| 442 | if (selector != null) EmigrantsSelectorParameter.Value = selector;
|
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| 443 | }
|
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| 444 |
|
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| 445 | oldSelector = ImmigrationSelectorParameter.Value;
|
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| 446 | ImmigrationSelectorParameter.ValidValues.Clear();
|
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| 447 | foreach (ISelector selector in immigrationSelectors)
|
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| 448 | ImmigrationSelectorParameter.ValidValues.Add(selector);
|
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| 449 | if (oldSelector != null) {
|
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| 450 | ISelector selector = ImmigrationSelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
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| 451 | if (selector != null) ImmigrationSelectorParameter.Value = selector;
|
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| 452 | }
|
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| 453 | }
|
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| 454 | private void UpdateMigrators() {
|
---|
| 455 | IMigrator oldMigrator = Migrator;
|
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| 456 | MigratorParameter.ValidValues.Clear();
|
---|
| 457 | foreach (IMigrator migrator in migrators)
|
---|
| 458 | MigratorParameter.ValidValues.Add(migrator);
|
---|
| 459 | if (oldMigrator != null) {
|
---|
| 460 | IMigrator migrator = MigratorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMigrator.GetType());
|
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| 461 | if (migrator != null) MigratorParameter.Value = migrator;
|
---|
| 462 | } else if (MigratorParameter.ValidValues.Count > 0) MigratorParameter.Value = MigratorParameter.ValidValues.First();
|
---|
| 463 | }
|
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| 464 | private void UpdateCrossovers() {
|
---|
| 465 | ICrossover oldCrossover = CrossoverParameter.Value;
|
---|
| 466 | CrossoverParameter.ValidValues.Clear();
|
---|
| 467 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
|
---|
| 468 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
| 469 | if (oldCrossover != null) {
|
---|
| 470 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
|
---|
| 471 | if (crossover != null) CrossoverParameter.Value = crossover;
|
---|
| 472 | }
|
---|
| 473 | }
|
---|
| 474 | private void UpdateMutators() {
|
---|
| 475 | IManipulator oldMutator = MutatorParameter.Value;
|
---|
| 476 | MutatorParameter.ValidValues.Clear();
|
---|
| 477 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
|
---|
| 478 | MutatorParameter.ValidValues.Add(mutator);
|
---|
| 479 | if (oldMutator != null) {
|
---|
| 480 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
---|
| 481 | if (mutator != null) MutatorParameter.Value = mutator;
|
---|
| 482 | }
|
---|
| 483 | }
|
---|
| 484 | #endregion
|
---|
| 485 | }
|
---|
| 486 | }
|
---|