[11567] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12018] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11567] | 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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[11620] | 23 | using System.Collections.Generic;
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[11578] | 24 | using System.Linq;
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[11568] | 25 | using HeuristicLab.Analysis;
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[11567] | 26 | using HeuristicLab.Common;
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| 27 | using HeuristicLab.Core;
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[11568] | 28 | using HeuristicLab.Data;
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| 29 | using HeuristicLab.Operators;
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[11567] | 30 | using HeuristicLab.Optimization;
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[11578] | 31 | using HeuristicLab.Optimization.Operators;
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[11568] | 32 | using HeuristicLab.Parameters;
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[11567] | 33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[11578] | 34 | using HeuristicLab.PluginInfrastructure;
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| 35 | using HeuristicLab.Random;
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| 36 | using HeuristicLab.Selection;
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[11567] | 37 |
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| 38 | namespace HeuristicLab.Algorithms.ALPS {
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| 39 | [Item("ALPS Genetic Algorithm", "A genetic algorithm with an age-layered population structure.")]
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| 40 | [Creatable("Algorithms")]
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| 41 | [StorableClass]
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[11583] | 42 | public sealed class AlpsGeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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[11567] | 43 | public string Filename { get; set; }
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| 44 |
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| 45 | #region Problem Properties
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| 46 | public override Type ProblemType {
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| 47 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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| 48 | }
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| 49 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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| 50 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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| 51 | set { base.Problem = value; }
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| 52 | }
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| 53 | #endregion
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| 54 |
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| 55 | #region Parameter Properties
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[11568] | 56 | private IValueParameter<IntValue> SeedParameter {
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| 57 | get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
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| 58 | }
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| 59 | private IValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 60 | get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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| 61 | }
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| 62 | private IValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 63 | get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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| 64 | }
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| 65 | private IValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
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| 66 | get { return (IValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
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| 67 | }
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| 68 | private IValueParameter<IntValue> NumberOfLayersParameter {
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| 69 | get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 70 | }
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[12035] | 71 | private IValueParameter<IntArray> PopulationSizeParameter {
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| 72 | get { return (IValueParameter<IntArray>)Parameters["PopulationSize"]; }
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[11568] | 73 | }
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| 74 | private IValueParameter<IntValue> MaximumGenerationsParameter {
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| 75 | get { return (IValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
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| 76 | }
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| 77 | private IValueParameter<AgingScheme> AgingSchemeParameter {
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| 78 | get { return (IValueParameter<AgingScheme>)Parameters["AgingScheme"]; }
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| 79 | }
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| 80 | private IValueParameter<IntValue> AgeGapParameter {
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| 81 | get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
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| 82 | }
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| 83 | private IValueParameter<IntArray> AgeLimitsParameter {
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| 84 | get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
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| 85 | }
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| 86 | private IValueParameter<ReductionOperation> AgeInheritanceParameter {
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| 87 | get { return (IValueParameter<ReductionOperation>)Parameters["AgeInheritance"]; }
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| 88 | }
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[12040] | 89 | private IValueParameter<IntValue> MatingPoolRangeParameter {
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| 90 | get { return (IValueParameter<IntValue>)Parameters["MatingPoolRange"]; }
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| 91 | }
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[12045] | 92 | private IValueParameter<PercentValue> MatingPoolSelectionPercentageParameter {
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| 93 | get { return (IValueLookupParameter<PercentValue>)Parameters["MatingPoolSelectionPercentage"]; }
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| 94 | }
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[11568] | 95 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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| 96 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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| 97 | }
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| 98 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 99 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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| 100 | }
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| 101 | private IValueParameter<PercentValue> MutationProbabilityParameter {
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| 102 | get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 103 | }
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| 104 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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| 105 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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| 106 | }
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| 107 | private IValueParameter<IntValue> ElitesParameter {
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| 108 | get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
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| 109 | }
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| 110 | private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
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| 111 | get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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| 112 | }
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[11567] | 113 | #endregion
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| 114 |
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| 115 | #region Properties
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[11568] | 116 | public IntValue Seed {
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| 117 | get { return SeedParameter.Value; }
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| 118 | set { SeedParameter.Value = value; }
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| 119 | }
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| 120 | public BoolValue SetSeedRandomly {
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| 121 | get { return SetSeedRandomlyParameter.Value; }
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| 122 | set { SetSeedRandomlyParameter.Value = value; }
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| 123 | }
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| 124 | public MultiAnalyzer Analyzer {
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| 125 | get { return AnalyzerParameter.Value; }
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| 126 | set { AnalyzerParameter.Value = value; }
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| 127 | }
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| 128 | public MultiAnalyzer LayerAnalyzer {
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| 129 | get { return LayerAnalyzerParameter.Value; }
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| 130 | set { LayerAnalyzerParameter.Value = value; }
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| 131 | }
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| 132 | public IntValue NumberOfLayers {
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| 133 | get { return NumberOfLayersParameter.Value; }
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| 134 | set { NumberOfLayersParameter.Value = value; }
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| 135 | }
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| 136 |
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[12035] | 137 | public IntArray PopulationSize {
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[11568] | 138 | get { return PopulationSizeParameter.Value; }
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| 139 | set { PopulationSizeParameter.Value = value; }
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| 140 | }
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| 141 | public IntValue MaximumGenerations {
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| 142 | get { return MaximumGenerationsParameter.Value; }
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| 143 | set { MaximumGenerationsParameter.Value = value; }
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| 144 | }
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| 145 | public AgingScheme AgingScheme {
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| 146 | get { return AgingSchemeParameter.Value; }
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| 147 | set { AgingSchemeParameter.Value = value; }
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| 148 | }
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| 149 | public IntValue AgeGap {
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| 150 | get { return AgeGapParameter.Value; }
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| 151 | set { AgeGapParameter.Value = value; }
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| 152 | }
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| 153 | public IntArray AgeLimits {
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| 154 | get { return AgeLimitsParameter.Value; }
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| 155 | set { AgeLimitsParameter.Value = value; }
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| 156 | }
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| 157 | public ReductionOperation AgeInheritance {
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| 158 | get { return AgeInheritanceParameter.Value; }
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| 159 | set { AgeInheritanceParameter.Value = value; }
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| 160 | }
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[12040] | 161 | public IntValue MatingPoolRange {
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| 162 | get { return MatingPoolRangeParameter.Value; }
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| 163 | set { MatingPoolRangeParameter.Value = value; }
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| 164 | }
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[12045] | 165 | public PercentValue MatingPoolSelectionPercentage {
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| 166 | get { return MatingPoolSelectionPercentageParameter.Value; }
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| 167 | set { MatingPoolSelectionPercentageParameter.Value = value; }
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| 168 | }
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[11568] | 169 | public ISelector Selector {
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| 170 | get { return SelectorParameter.Value; }
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| 171 | set { SelectorParameter.Value = value; }
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| 172 | }
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| 173 | public ICrossover Crossover {
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| 174 | get { return CrossoverParameter.Value; }
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| 175 | set { CrossoverParameter.Value = value; }
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| 176 | }
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| 177 | public PercentValue MutationProbability {
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| 178 | get { return MutationProbabilityParameter.Value; }
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| 179 | set { MutationProbabilityParameter.Value = value; }
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| 180 | }
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| 181 | public IManipulator Mutator {
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| 182 | get { return MutatorParameter.Value; }
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| 183 | set { MutatorParameter.Value = value; }
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| 184 | }
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| 185 | public IntValue Elites {
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| 186 | get { return ElitesParameter.Value; }
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| 187 | set { ElitesParameter.Value = value; }
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| 188 | }
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| 189 | public bool ReevaluteElites {
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| 190 | get { return ReevaluateElitesParameter.Value.Value; }
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| 191 | set { ReevaluateElitesParameter.Value.Value = value; }
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| 192 | }
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[11578] | 193 |
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| 194 | private RandomCreator GlobalRandomCreator {
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| 195 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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| 196 | }
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| 197 | private SolutionsCreator SolutionsCreator {
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| 198 | get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
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| 199 | }
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[11580] | 200 | private AlpsGeneticAlgorithmMainLoop MainLoop {
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| 201 | get { return OperatorGraph.Iterate().OfType<AlpsGeneticAlgorithmMainLoop>().First(); }
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| 202 | }
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| 203 |
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[11676] | 204 | #endregion
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| 205 |
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| 206 | #region Preconfigured Analyzers
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[11578] | 207 | [Storable]
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| 208 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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| 209 | [Storable]
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| 210 | private BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
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[11567] | 211 | #endregion
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| 212 |
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| 213 | [StorableConstructor]
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| 214 | private AlpsGeneticAlgorithm(bool deserializing)
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| 215 | : base(deserializing) { }
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| 216 | private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
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| 217 | : base(original, cloner) {
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[11578] | 218 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 219 | layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
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| 220 | Initialize();
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[11567] | 221 | }
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| 222 | public override IDeepCloneable Clone(Cloner cloner) {
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| 223 | return new AlpsGeneticAlgorithm(this, cloner);
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| 224 | }
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| 225 | public AlpsGeneticAlgorithm()
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| 226 | : base() {
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[11568] | 227 | 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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| 228 | 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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| 229 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
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| 230 | Parameters.Add(new ValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
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[12048] | 231 | Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(10)));
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| 232 | Parameters.Add(new ValueParameter<IntArray>("PopulationSize", "The size of the population of solutions each layer.", new IntArray(new[] { 100 })));
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[11568] | 233 | Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
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| 234 | Parameters.Add(new ValueParameter<AgingScheme>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new AgingScheme(AgingSchemes.Polynomial)));
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[12048] | 235 | Parameters.Add(new ValueParameter<IntValue>("AgeGap", "The frequency of reseeding the lowest layer and scaling factor for the age-limits for the layers", new IntValue(20)));
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| 236 | Parameters.Add(new ValueParameter<IntArray>("AgeLimits", new IntArray(new int[0])) { Hidden = true });
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[11578] | 237 | Parameters.Add(new ValueParameter<ReductionOperation>("AgeInheritance", "The operator for determining the age of an offspring based the parents' age.", new ReductionOperation(ReductionOperations.Max)) { Hidden = true });
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[12040] | 238 | Parameters.Add(new ValueParameter<IntValue>("MatingPoolRange", "The range of layers used for creating a mating pool. (1 = current + previous layer)", new IntValue(1)) { Hidden = true });
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[12045] | 239 | Parameters.Add(new ValueParameter<PercentValue>("MatingPoolSelectionPercentage", "Percentage of the previous layers used for creating a mating pool.", new PercentValue(1.0, restrictToUnitInterval: true)) { Hidden = true });
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[11568] | 240 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 241 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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| 242 | 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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| 243 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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| 244 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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| 245 | Parameters.Add(new FixedValueParameter<BoolValue>("ReevaluateElites", "Flag to determine if elite individuals should be reevaluated (i.e., if stochastic fitness functions are used.)", new BoolValue(false)) { Hidden = true });
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[11578] | 246 |
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| 247 | var globalRandomCreator = new RandomCreator();
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| 248 | var layer0Creator = new SubScopesCreator() { Name = "Create Layer Zero" };
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[12035] | 249 | var layer0Processor = new LayerUniformSubScopesProcessor();
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[11578] | 250 | var localRandomCreator = new LocalRandomCreator();
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[11585] | 251 | var layerVariableCreator = new VariableCreator();
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[11578] | 252 | var layerSolutionsCreator = new SolutionsCreator();
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| 253 | var initializeAgeProcessor = new UniformSubScopesProcessor();
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| 254 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
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[11676] | 255 | var initializeLayerPopulationSize = new SubScopesCounter() { Name = "Init LayerPopulationCounter" };
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| 256 | var initializeLocalEvaluatedSolutions = new Assigner() { Name = "Initialize LayerEvaluatedSolutions" };
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[11578] | 257 | var initializeGlobalEvaluatedSolutions = new DataReducer() { Name = "Initialize EvaluatedSolutions" };
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| 258 | var resultsCollector = new ResultsCollector();
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[11580] | 259 | var mainLoop = new AlpsGeneticAlgorithmMainLoop();
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| 260 |
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[11578] | 261 | OperatorGraph.InitialOperator = globalRandomCreator;
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| 262 |
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| 263 | globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
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| 264 | globalRandomCreator.SeedParameter.Value = null;
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| 265 | globalRandomCreator.SetSeedRandomlyParameter.Value = null;
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| 266 | globalRandomCreator.Successor = layer0Creator;
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| 267 |
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| 268 | layer0Creator.NumberOfSubScopesParameter.Value = new IntValue(1);
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| 269 | layer0Creator.Successor = layer0Processor;
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| 270 |
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[12035] | 271 | layer0Processor.Operator = localRandomCreator;
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[11578] | 272 | layer0Processor.Successor = initializeGlobalEvaluatedSolutions;
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| 273 |
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[11585] | 274 | localRandomCreator.Successor = layerVariableCreator;
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[11578] | 275 |
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[11585] | 276 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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[11609] | 277 | //layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("Results", new ResultCollection()));
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[11585] | 278 | layerVariableCreator.Successor = layerSolutionsCreator;
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| 279 |
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[11578] | 280 | layerSolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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| 281 | layerSolutionsCreator.Successor = initializeAgeProcessor;
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| 282 |
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| 283 | initializeAgeProcessor.Operator = initializeAge;
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[11676] | 284 | initializeAgeProcessor.Successor = initializeLayerPopulationSize;
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[11578] | 285 |
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[11676] | 286 | initializeLayerPopulationSize.ValueParameter.ActualName = "LayerPopulationSize";
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| 287 | initializeLayerPopulationSize.Successor = initializeLocalEvaluatedSolutions;
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| 288 |
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[11578] | 289 | initializeAge.CollectedValues.Add(new ValueParameter<IntValue>("Age", new IntValue(0)));
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| 290 | initializeAge.Successor = null;
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| 291 |
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[11676] | 292 | initializeLocalEvaluatedSolutions.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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| 293 | initializeLocalEvaluatedSolutions.RightSideParameter.ActualName = "LayerPopulationSize";
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[11578] | 294 | initializeLocalEvaluatedSolutions.Successor = null;
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| 295 |
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| 296 | initializeGlobalEvaluatedSolutions.ReductionOperation.Value.Value = ReductionOperations.Sum;
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| 297 | initializeGlobalEvaluatedSolutions.TargetOperation.Value.Value = ReductionOperations.Assign;
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[11590] | 298 | initializeGlobalEvaluatedSolutions.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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[11578] | 299 | initializeGlobalEvaluatedSolutions.TargetParameter.ActualName = "EvaluatedSolutions";
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| 300 | initializeGlobalEvaluatedSolutions.Successor = resultsCollector;
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| 301 |
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[11609] | 302 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
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[11578] | 303 | resultsCollector.Successor = mainLoop;
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| 304 |
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| 305 | foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(s => !(s is IMultiObjectiveSelector)).OrderBy(s => Name))
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| 306 | SelectorParameter.ValidValues.Add(selector);
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| 307 | var porportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(s => s is ProportionalSelector);
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| 308 | if (porportionalSelector != null) SelectorParameter.Value = porportionalSelector;
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| 309 |
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| 310 | ParameterizeSelectors();
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| 311 |
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| 312 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 313 | layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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[12048] | 314 |
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| 315 | RecalculateAgeLimits();
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[11578] | 316 | ParameterizeAnalyzers();
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| 317 | UpdateAnalyzers();
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| 318 |
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| 319 | Initialize();
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[11567] | 320 | }
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[11578] | 321 |
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| 322 | public override void Prepare() {
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| 323 | if (Problem != null)
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| 324 | base.Prepare();
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| 325 | }
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| 326 |
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| 327 | #region Events
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| 328 | protected override void OnProblemChanged() {
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| 329 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 330 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
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| 331 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
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| 332 | ParameterizeStochasticOperator(@operator);
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| 333 | ParameterizeSolutionsCreator();
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| 334 | ParameterizeMainLoop();
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| 335 | ParameterizeSelectors();
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| 336 | ParameterizeAnalyzers();
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| 337 | ParameterizeIterationBasedOperators();
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| 338 | UpdateCrossovers();
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| 339 | UpdateMutators();
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| 340 | UpdateAnalyzers();
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| 341 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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| 342 | base.OnProblemChanged();
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| 343 | }
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| 344 |
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| 345 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 346 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 347 | ParameterizeSolutionsCreator();
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| 348 | base.Problem_SolutionCreatorChanged(sender, e);
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| 349 | }
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| 350 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 351 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
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| 352 | ParameterizeSolutionsCreator();
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| 353 | ParameterizeMainLoop();
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| 354 | ParameterizeSelectors();
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| 355 | ParameterizeAnalyzers();
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| 356 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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| 357 | base.Problem_EvaluatorChanged(sender, e);
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| 358 | }
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| 359 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 360 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
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| 361 | ParameterizeStochasticOperator(@operator);
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| 362 | ParameterizeIterationBasedOperators();
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| 363 | UpdateCrossovers();
|
---|
| 364 | UpdateMutators();
|
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| 365 | UpdateAnalyzers();
|
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| 366 | base.Problem_OperatorsChanged(sender, e);
|
---|
| 367 | }
|
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| 368 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
|
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| 369 | ParameterizeMainLoop();
|
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| 370 | ParameterizeSelectors();
|
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| 371 | ParameterizeAnalyzers();
|
---|
| 372 | }
|
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| 373 |
|
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| 374 | void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
|
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| 375 | PopulationSizeParameter.ValueChanged += PopulationSize_ValueChanged;
|
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| 376 | ParameterizeSelectors();
|
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| 377 | }
|
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| 378 | void PopulationSize_ValueChanged(object sender, EventArgs e) {
|
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| 379 | ParameterizeSelectors();
|
---|
| 380 | }
|
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| 381 | void ElitesParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 382 | Elites.ValueChanged += ElitesParameter_ValueChanged;
|
---|
| 383 | ParameterizeSelectors();
|
---|
| 384 | }
|
---|
| 385 | void Elites_ValueChanged(object sender, EventArgs e) {
|
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| 386 | ParameterizeSelectors();
|
---|
| 387 | }
|
---|
[11620] | 388 | private void AgeGapParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 389 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
| 390 | RecalculateAgeLimits();
|
---|
| 391 | }
|
---|
| 392 | private void AgeGap_ValueChanged(object sender, EventArgs e) {
|
---|
| 393 | RecalculateAgeLimits();
|
---|
| 394 | }
|
---|
| 395 | private void AgingSchemeParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 396 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
| 397 | RecalculateAgeLimits();
|
---|
| 398 | }
|
---|
| 399 | private void AgingScheme_ValueChanged(object sender, EventArgs e) {
|
---|
| 400 | RecalculateAgeLimits();
|
---|
| 401 | }
|
---|
| 402 | private void NumberOfLayersParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 403 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
| 404 | RecalculateAgeLimits();
|
---|
| 405 | }
|
---|
| 406 | private void NumberOfLayers_ValueChanged(object sender, EventArgs e) {
|
---|
| 407 | RecalculateAgeLimits();
|
---|
| 408 | }
|
---|
[11578] | 409 | #endregion
|
---|
| 410 |
|
---|
| 411 | #region Parameterization
|
---|
| 412 | private void Initialize() {
|
---|
| 413 | PopulationSizeParameter.ValueChanged += PopulationSizeParameter_ValueChanged;
|
---|
[12035] | 414 | //PopulationSize.ValueChanged += PopulationSize_ValueChanged; TODO
|
---|
[11578] | 415 | ElitesParameter.ValueChanged += ElitesParameter_ValueChanged;
|
---|
| 416 | Elites.ValueChanged += Elites_ValueChanged;
|
---|
| 417 | if (Problem != null)
|
---|
| 418 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
[11620] | 419 | AgeGapParameter.ValueChanged += AgeGapParameter_ValueChanged;
|
---|
| 420 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
| 421 | AgingSchemeParameter.ValueChanged += AgingSchemeParameter_ValueChanged;
|
---|
| 422 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
| 423 | NumberOfLayersParameter.ValueChanged += NumberOfLayersParameter_ValueChanged;
|
---|
| 424 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
[11578] | 425 | }
|
---|
| 426 | private void ParameterizeSolutionsCreator() {
|
---|
| 427 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
| 428 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
|
---|
[11590] | 429 | MainLoop.LayerUpdator.SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
| 430 | MainLoop.LayerUpdator.SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
|
---|
[11578] | 431 | }
|
---|
| 432 | private void ParameterizeMainLoop() {
|
---|
[12045] | 433 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 434 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[11583] | 435 | MainLoop.MainOperator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
| 436 | MainLoop.MainOperator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 437 | MainLoop.MainOperator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[11586] | 438 | MainLoop.EldersEmigrator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 439 | MainLoop.EldersEmigrator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[11609] | 440 | MainLoop.LayerUpdator.SolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
|
---|
[11578] | 441 | }
|
---|
| 442 | private void ParameterizeSelectors() {
|
---|
| 443 | foreach (var selector in SelectorParameter.ValidValues) {
|
---|
| 444 | selector.CopySelected = new BoolValue(true);
|
---|
[12035] | 445 | // Explicit setting of NumberOfSelectedSubScopesParameter is not required anymore because the NumberOfSelectedSubScopesCalculator calculates it itself
|
---|
| 446 | //selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize - Elites.Value));
|
---|
[11578] | 447 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
---|
| 448 | ParameterizeStochasticOperatorForLayer(selector);
|
---|
| 449 | }
|
---|
| 450 | if (Problem != null) {
|
---|
| 451 | foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
| 452 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 453 | selector.MaximizationParameter.Hidden = true;
|
---|
| 454 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 455 | selector.QualityParameter.Hidden = true;
|
---|
| 456 | }
|
---|
| 457 | }
|
---|
| 458 | }
|
---|
| 459 | private void ParameterizeAnalyzers() {
|
---|
| 460 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
| 461 | qualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
| 462 | qualityAnalyzer.QualityParameter.Depth = 2;
|
---|
| 463 | layerQualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
| 464 | layerQualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
| 465 | layerQualityAnalyzer.QualityParameter.Depth = 1;
|
---|
| 466 | if (Problem != null) {
|
---|
| 467 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 468 | qualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
| 469 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 470 | qualityAnalyzer.QualityParameter.Hidden = true;
|
---|
| 471 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
| 472 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
| 473 | layerQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 474 | layerQualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
| 475 | layerQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 476 | layerQualityAnalyzer.QualityParameter.Hidden = true;
|
---|
| 477 | layerQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
| 478 | layerQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
| 479 | }
|
---|
| 480 | }
|
---|
| 481 | private void ParameterizeIterationBasedOperators() {
|
---|
| 482 | if (Problem != null) {
|
---|
| 483 | foreach (var @operator in Problem.Operators.OfType<IIterationBasedOperator>()) {
|
---|
| 484 | @operator.IterationsParameter.ActualName = "Generations";
|
---|
| 485 | @operator.IterationsParameter.Hidden = true;
|
---|
| 486 | @operator.MaximumIterationsParameter.ActualName = "MaximumGenerations";
|
---|
| 487 | @operator.MaximumIterationsParameter.Hidden = true;
|
---|
| 488 | }
|
---|
| 489 | }
|
---|
| 490 | }
|
---|
| 491 | private void ParameterizeStochasticOperator(IOperator @operator) {
|
---|
| 492 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
| 493 | if (stochasticOperator != null) {
|
---|
| 494 | stochasticOperator.RandomParameter.ActualName = GlobalRandomCreator.RandomParameter.ActualName;
|
---|
| 495 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 496 | }
|
---|
| 497 | }
|
---|
| 498 | private void ParameterizeStochasticOperatorForLayer(IOperator @operator) {
|
---|
| 499 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
| 500 | if (stochasticOperator != null) {
|
---|
| 501 | stochasticOperator.RandomParameter.ActualName = "LocalRandom";
|
---|
| 502 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 503 | }
|
---|
| 504 | }
|
---|
| 505 | #endregion
|
---|
| 506 |
|
---|
| 507 | #region Updates
|
---|
| 508 | private void UpdateCrossovers() {
|
---|
| 509 | var oldCrossover = CrossoverParameter.Value;
|
---|
| 510 | var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
---|
| 511 | CrossoverParameter.ValidValues.Clear();
|
---|
| 512 | foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(c => c.Name)) {
|
---|
| 513 | ParameterizeStochasticOperatorForLayer(crossover);
|
---|
| 514 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
| 515 | }
|
---|
| 516 | if (oldCrossover != null) {
|
---|
| 517 | var crossover = CrossoverParameter.ValidValues.FirstOrDefault(c => c.GetType() == oldCrossover.GetType());
|
---|
[11678] | 518 | if (crossover != null)
|
---|
| 519 | CrossoverParameter.Value = crossover;
|
---|
| 520 | else
|
---|
| 521 | oldCrossover = null;
|
---|
[11578] | 522 | }
|
---|
| 523 | if (oldCrossover == null && defaultCrossover != null)
|
---|
| 524 | CrossoverParameter.Value = defaultCrossover;
|
---|
| 525 | }
|
---|
| 526 | private void UpdateMutators() {
|
---|
| 527 | var oldMutator = MutatorParameter.Value;
|
---|
| 528 | MutatorParameter.ValidValues.Clear();
|
---|
| 529 | foreach (var mutator in Problem.Operators.OfType<IManipulator>().OrderBy(m => m.Name)) {
|
---|
| 530 | ParameterizeStochasticOperatorForLayer(mutator);
|
---|
| 531 | MutatorParameter.ValidValues.Add(mutator);
|
---|
| 532 | }
|
---|
| 533 | if (oldMutator != null) {
|
---|
| 534 | var mutator = MutatorParameter.ValidValues.FirstOrDefault(m => m.GetType() == oldMutator.GetType());
|
---|
[11678] | 535 | if (mutator != null)
|
---|
| 536 | MutatorParameter.Value = mutator;
|
---|
[11578] | 537 | }
|
---|
| 538 | }
|
---|
| 539 | private void UpdateAnalyzers() {
|
---|
| 540 | Analyzer.Operators.Clear();
|
---|
| 541 | LayerAnalyzer.Operators.Clear();
|
---|
| 542 |
|
---|
| 543 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
|
---|
| 544 | LayerAnalyzer.Operators.Add(layerQualityAnalyzer, layerQualityAnalyzer.EnabledByDefault);
|
---|
| 545 |
|
---|
| 546 | if (Problem != null) {
|
---|
| 547 | foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
---|
| 548 | foreach (var parameter in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
|
---|
| 549 | parameter.Depth = 2;
|
---|
| 550 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
---|
| 551 | }
|
---|
| 552 | }
|
---|
| 553 | }
|
---|
| 554 | #endregion
|
---|
[11620] | 555 |
|
---|
[11676] | 556 | #region AgeLimits calculation
|
---|
[11620] | 557 | private void RecalculateAgeLimits() {
|
---|
| 558 | IEnumerable<int> scheme;
|
---|
| 559 | switch (AgingScheme.Value) {
|
---|
| 560 | case AgingSchemes.Linear: scheme = LinearAgingScheme(); break;
|
---|
| 561 | case AgingSchemes.Fibonacci: scheme = FibonacciAgingScheme(); break;
|
---|
| 562 | case AgingSchemes.Polynomial: scheme = PolynomialAgingScheme(2); break;
|
---|
| 563 | case AgingSchemes.Exponential: scheme = ExponentialAgingScheme(2); break;
|
---|
| 564 | default: throw new NotSupportedException("Aging Scheme " + AgingScheme.Value + " is not supported.");
|
---|
| 565 | }
|
---|
| 566 |
|
---|
| 567 | int ageGap = AgeGap.Value;
|
---|
| 568 | AgeLimits = new IntArray(scheme.Select(a => a * ageGap).Take(NumberOfLayers.Value).ToArray());
|
---|
| 569 | }
|
---|
| 570 |
|
---|
| 571 | // 1 2 3 4 5 6 7
|
---|
| 572 | private static IEnumerable<int> LinearAgingScheme() {
|
---|
| 573 | for (int i = 0; ; i++)
|
---|
| 574 | yield return i + 1;
|
---|
| 575 | }
|
---|
| 576 | // 1 2 3 5 8 13 21
|
---|
| 577 | private static IEnumerable<int> FibonacciAgingScheme() {
|
---|
| 578 | for (int i = 1, next = 2, temp; ; temp = next, next = i + next, i = temp)
|
---|
| 579 | yield return i;
|
---|
| 580 | }
|
---|
| 581 | // (n^2): 1 2 4 9 16 25 36
|
---|
| 582 | private static IEnumerable<int> PolynomialAgingScheme(double exp) {
|
---|
| 583 | yield return 1;
|
---|
| 584 | yield return 2;
|
---|
| 585 | for (int i = 2; ; i++)
|
---|
| 586 | yield return (int)Math.Pow(i, exp);
|
---|
| 587 |
|
---|
| 588 | }
|
---|
| 589 | // 1 2 4 8 16 32 64
|
---|
| 590 | private static IEnumerable<int> ExponentialAgingScheme(double @base) {
|
---|
| 591 | for (int i = 0; ; i++)
|
---|
| 592 | yield return (int)Math.Pow(@base, i);
|
---|
| 593 | }
|
---|
[11676] | 594 | #endregion
|
---|
[11567] | 595 | }
|
---|
| 596 | } |
---|