[11567] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2014 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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[11578] | 23 | using System.Linq;
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[11568] | 24 | using HeuristicLab.Analysis;
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[11567] | 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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[11568] | 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Operators;
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[11567] | 29 | using HeuristicLab.Optimization;
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[11578] | 30 | using HeuristicLab.Optimization.Operators;
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[11568] | 31 | using HeuristicLab.Parameters;
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[11567] | 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[11578] | 33 | using HeuristicLab.PluginInfrastructure;
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| 34 | using HeuristicLab.Random;
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| 35 | using HeuristicLab.Selection;
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[11567] | 36 |
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| 37 | namespace HeuristicLab.Algorithms.ALPS {
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| 38 | [Item("ALPS Genetic Algorithm", "A genetic algorithm with an age-layered population structure.")]
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| 39 | [Creatable("Algorithms")]
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| 40 | [StorableClass]
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[11583] | 41 | public sealed class AlpsGeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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[11567] | 42 | public string Filename { get; set; }
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| 43 |
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| 44 | #region Problem Properties
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| 45 | public override Type ProblemType {
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| 46 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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| 47 | }
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| 48 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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| 49 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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| 50 | set { base.Problem = value; }
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| 51 | }
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| 52 | #endregion
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| 53 |
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| 54 | #region Parameter Properties
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[11568] | 55 | private IValueParameter<IntValue> SeedParameter {
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| 56 | get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
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| 57 | }
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| 58 | private IValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 59 | get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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| 60 | }
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| 61 | private IValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 62 | get { return (IValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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| 63 | }
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| 64 | private IValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
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| 65 | get { return (IValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
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| 66 | }
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| 67 | private IValueParameter<IntValue> NumberOfLayersParameter {
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| 68 | get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 69 | }
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| 70 | private IValueParameter<IntValue> PopulationSizeParameter {
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| 71 | get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
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| 72 | }
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| 73 | private IValueParameter<IntValue> MaximumGenerationsParameter {
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| 74 | get { return (IValueParameter<IntValue>)Parameters["MaximumGenerations"]; }
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| 75 | }
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| 76 | private IValueParameter<AgingScheme> AgingSchemeParameter {
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| 77 | get { return (IValueParameter<AgingScheme>)Parameters["AgingScheme"]; }
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| 78 | }
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| 79 | private IValueParameter<IntValue> AgeGapParameter {
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| 80 | get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
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| 81 | }
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| 82 | private IValueParameter<IntArray> AgeLimitsParameter {
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| 83 | get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
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| 84 | }
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| 85 | private IValueParameter<ReductionOperation> AgeInheritanceParameter {
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| 86 | get { return (IValueParameter<ReductionOperation>)Parameters["AgeInheritance"]; }
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| 87 | }
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| 88 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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| 89 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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| 90 | }
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| 91 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 92 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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| 93 | }
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| 94 | private IValueParameter<PercentValue> MutationProbabilityParameter {
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| 95 | get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 96 | }
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| 97 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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| 98 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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| 99 | }
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| 100 | private IValueParameter<IntValue> ElitesParameter {
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| 101 | get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
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| 102 | }
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| 103 | private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
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| 104 | get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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| 105 | }
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[11567] | 106 | #endregion
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| 107 |
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| 108 | #region Properties
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[11568] | 109 | public IntValue Seed {
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| 110 | get { return SeedParameter.Value; }
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| 111 | set { SeedParameter.Value = value; }
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| 112 | }
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| 113 | public BoolValue SetSeedRandomly {
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| 114 | get { return SetSeedRandomlyParameter.Value; }
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| 115 | set { SetSeedRandomlyParameter.Value = value; }
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| 116 | }
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| 117 | public MultiAnalyzer Analyzer {
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| 118 | get { return AnalyzerParameter.Value; }
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| 119 | set { AnalyzerParameter.Value = value; }
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| 120 | }
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| 121 | public MultiAnalyzer LayerAnalyzer {
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| 122 | get { return LayerAnalyzerParameter.Value; }
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| 123 | set { LayerAnalyzerParameter.Value = value; }
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| 124 | }
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| 125 | public IntValue NumberOfLayers {
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| 126 | get { return NumberOfLayersParameter.Value; }
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| 127 | set { NumberOfLayersParameter.Value = value; }
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| 128 | }
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| 129 |
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| 130 | public IntValue PopulationSize {
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| 131 | get { return PopulationSizeParameter.Value; }
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| 132 | set { PopulationSizeParameter.Value = value; }
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| 133 | }
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| 134 | public IntValue MaximumGenerations {
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| 135 | get { return MaximumGenerationsParameter.Value; }
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| 136 | set { MaximumGenerationsParameter.Value = value; }
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| 137 | }
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| 138 | public AgingScheme AgingScheme {
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| 139 | get { return AgingSchemeParameter.Value; }
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| 140 | set { AgingSchemeParameter.Value = value; }
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| 141 | }
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| 142 | public IntValue AgeGap {
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| 143 | get { return AgeGapParameter.Value; }
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| 144 | set { AgeGapParameter.Value = value; }
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| 145 | }
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| 146 | public IntArray AgeLimits {
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| 147 | get { return AgeLimitsParameter.Value; }
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| 148 | set { AgeLimitsParameter.Value = value; }
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| 149 | }
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| 150 | public ReductionOperation AgeInheritance {
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| 151 | get { return AgeInheritanceParameter.Value; }
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| 152 | set { AgeInheritanceParameter.Value = value; }
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| 153 | }
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| 154 | public ISelector Selector {
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| 155 | get { return SelectorParameter.Value; }
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| 156 | set { SelectorParameter.Value = value; }
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| 157 | }
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| 158 | public ICrossover Crossover {
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| 159 | get { return CrossoverParameter.Value; }
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| 160 | set { CrossoverParameter.Value = value; }
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| 161 | }
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| 162 | public PercentValue MutationProbability {
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| 163 | get { return MutationProbabilityParameter.Value; }
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| 164 | set { MutationProbabilityParameter.Value = value; }
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| 165 | }
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| 166 | public IManipulator Mutator {
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| 167 | get { return MutatorParameter.Value; }
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| 168 | set { MutatorParameter.Value = value; }
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| 169 | }
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| 170 | public IntValue Elites {
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| 171 | get { return ElitesParameter.Value; }
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| 172 | set { ElitesParameter.Value = value; }
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| 173 | }
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| 174 | public bool ReevaluteElites {
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| 175 | get { return ReevaluateElitesParameter.Value.Value; }
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| 176 | set { ReevaluateElitesParameter.Value.Value = value; }
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| 177 | }
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[11578] | 178 |
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| 179 | private RandomCreator GlobalRandomCreator {
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| 180 | get { return (RandomCreator)OperatorGraph.InitialOperator; }
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| 181 | }
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| 182 | private SolutionsCreator SolutionsCreator {
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| 183 | get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
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| 184 | }
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[11580] | 185 | private AlpsGeneticAlgorithmMainLoop MainLoop {
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| 186 | get { return OperatorGraph.Iterate().OfType<AlpsGeneticAlgorithmMainLoop>().First(); }
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| 187 | }
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| 188 |
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[11578] | 189 | [Storable]
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| 190 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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| 191 | [Storable]
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| 192 | private BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
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[11567] | 193 | #endregion
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| 194 |
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| 195 | [StorableConstructor]
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| 196 | private AlpsGeneticAlgorithm(bool deserializing)
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| 197 | : base(deserializing) { }
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| 198 | private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
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| 199 | : base(original, cloner) {
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[11578] | 200 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 201 | layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
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| 202 | Initialize();
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[11567] | 203 | }
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| 204 | public override IDeepCloneable Clone(Cloner cloner) {
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| 205 | return new AlpsGeneticAlgorithm(this, cloner);
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| 206 | }
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| 207 | public AlpsGeneticAlgorithm()
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| 208 | : base() {
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[11568] | 209 | 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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| 210 | 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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| 211 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
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| 212 | Parameters.Add(new ValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
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| 213 | Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(5)));
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| 214 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions each layer.", new IntValue(20)));
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| 215 | Parameters.Add(new ValueParameter<IntValue>("MaximumGenerations", "The maximum number of generations that should be processed.", new IntValue(1000)));
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| 216 | 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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| 217 | 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(5)));
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[11586] | 218 | Parameters.Add(new ValueParameter<IntArray>("AgeLimits", new IntArray(new[] { 5, 20, 45, 80, 125 })) { Hidden = true });
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[11578] | 219 | 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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[11568] | 220 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 221 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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| 222 | 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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| 223 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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| 224 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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| 225 | 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] | 226 |
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| 227 | var globalRandomCreator = new RandomCreator();
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| 228 | var layer0Creator = new SubScopesCreator() { Name = "Create Layer Zero" };
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| 229 | var layer0Processor = new SubScopesProcessor();
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| 230 | var localRandomCreator = new LocalRandomCreator();
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[11585] | 231 | var layerVariableCreator = new VariableCreator();
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[11578] | 232 | var layerSolutionsCreator = new SolutionsCreator();
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| 233 | var initializeAgeProcessor = new UniformSubScopesProcessor();
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| 234 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
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| 235 | var initializeLocalEvaluatedSolutions = new SubScopesCounter();
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| 236 | var initializeGlobalEvaluatedSolutions = new DataReducer() { Name = "Initialize EvaluatedSolutions" };
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| 237 | var resultsCollector = new ResultsCollector();
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[11580] | 238 | var mainLoop = new AlpsGeneticAlgorithmMainLoop();
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| 239 |
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[11578] | 240 | OperatorGraph.InitialOperator = globalRandomCreator;
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| 241 |
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| 242 | globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
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| 243 | globalRandomCreator.SeedParameter.Value = null;
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| 244 | globalRandomCreator.SetSeedRandomlyParameter.Value = null;
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| 245 | globalRandomCreator.Successor = layer0Creator;
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| 246 |
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| 247 | layer0Creator.NumberOfSubScopesParameter.Value = new IntValue(1);
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| 248 | layer0Creator.Successor = layer0Processor;
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| 249 |
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| 250 | layer0Processor.Operators.Add(localRandomCreator);
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| 251 | layer0Processor.Successor = initializeGlobalEvaluatedSolutions;
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| 252 |
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[11585] | 253 | localRandomCreator.Successor = layerVariableCreator;
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[11578] | 254 |
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[11585] | 255 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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[11590] | 256 | layerVariableCreator.CollectedValues.Add(new ValueParameter<ResultCollection>("Results", new ResultCollection()));
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[11585] | 257 | layerVariableCreator.Successor = layerSolutionsCreator;
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| 258 |
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[11578] | 259 | layerSolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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| 260 | layerSolutionsCreator.Successor = initializeAgeProcessor;
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| 261 |
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| 262 | initializeAgeProcessor.Operator = initializeAge;
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| 263 | initializeAgeProcessor.Successor = initializeLocalEvaluatedSolutions;
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| 264 |
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| 265 | initializeAge.CollectedValues.Add(new ValueParameter<IntValue>("Age", new IntValue(0)));
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| 266 | initializeAge.Successor = null;
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| 267 |
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[11590] | 268 | initializeLocalEvaluatedSolutions.ValueParameter.ActualName = "LayerEvaluatedSolutions";
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[11578] | 269 | initializeLocalEvaluatedSolutions.Successor = null;
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| 270 |
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| 271 | initializeGlobalEvaluatedSolutions.ReductionOperation.Value.Value = ReductionOperations.Sum;
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| 272 | initializeGlobalEvaluatedSolutions.TargetOperation.Value.Value = ReductionOperations.Assign;
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[11590] | 273 | initializeGlobalEvaluatedSolutions.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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[11578] | 274 | initializeGlobalEvaluatedSolutions.TargetParameter.ActualName = "EvaluatedSolutions";
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| 275 | initializeGlobalEvaluatedSolutions.Successor = resultsCollector;
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| 276 |
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| 277 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("EvaluatedSolutions"));
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| 278 | resultsCollector.Successor = mainLoop;
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| 279 |
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| 280 | foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(s => !(s is IMultiObjectiveSelector)).OrderBy(s => Name))
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| 281 | SelectorParameter.ValidValues.Add(selector);
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| 282 | var porportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(s => s is ProportionalSelector);
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| 283 | if (porportionalSelector != null) SelectorParameter.Value = porportionalSelector;
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| 284 |
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| 285 | ParameterizeSelectors();
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| 286 |
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| 287 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 288 | layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
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| 289 | ParameterizeAnalyzers();
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| 290 | UpdateAnalyzers();
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| 291 |
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| 292 | Initialize();
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[11567] | 293 | }
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[11578] | 294 |
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| 295 | public override void Prepare() {
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| 296 | if (Problem != null)
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| 297 | base.Prepare();
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| 298 | }
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| 299 |
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| 300 | #region Events
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| 301 | protected override void OnProblemChanged() {
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| 302 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 303 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
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| 304 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
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| 305 | ParameterizeStochasticOperator(@operator);
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| 306 | ParameterizeSolutionsCreator();
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| 307 | ParameterizeMainLoop();
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| 308 | ParameterizeSelectors();
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| 309 | ParameterizeAnalyzers();
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| 310 | ParameterizeIterationBasedOperators();
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| 311 | UpdateCrossovers();
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| 312 | UpdateMutators();
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| 313 | UpdateAnalyzers();
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| 314 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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| 315 | base.OnProblemChanged();
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| 316 | }
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| 317 |
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| 318 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
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| 319 | ParameterizeStochasticOperator(Problem.SolutionCreator);
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| 320 | ParameterizeSolutionsCreator();
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| 321 | base.Problem_SolutionCreatorChanged(sender, e);
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| 322 | }
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| 323 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
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| 324 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
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| 325 | ParameterizeSolutionsCreator();
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| 326 | ParameterizeMainLoop();
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| 327 | ParameterizeSelectors();
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| 328 | ParameterizeAnalyzers();
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| 329 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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| 330 | base.Problem_EvaluatorChanged(sender, e);
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| 331 | }
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| 332 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
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| 333 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
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| 334 | ParameterizeStochasticOperator(@operator);
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| 335 | ParameterizeIterationBasedOperators();
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| 336 | UpdateCrossovers();
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| 337 | UpdateMutators();
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| 338 | UpdateAnalyzers();
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| 339 | base.Problem_OperatorsChanged(sender, e);
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| 340 | }
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| 341 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 342 | ParameterizeMainLoop();
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| 343 | ParameterizeSelectors();
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| 344 | ParameterizeAnalyzers();
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| 345 | }
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| 346 |
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| 347 | void PopulationSizeParameter_ValueChanged(object sender, EventArgs e) {
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| 348 | PopulationSizeParameter.ValueChanged += PopulationSize_ValueChanged;
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| 349 | ParameterizeSelectors();
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| 350 | }
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| 351 | void PopulationSize_ValueChanged(object sender, EventArgs e) {
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| 352 | ParameterizeSelectors();
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| 353 | }
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| 354 | void ElitesParameter_ValueChanged(object sender, EventArgs e) {
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| 355 | Elites.ValueChanged += ElitesParameter_ValueChanged;
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| 356 | ParameterizeSelectors();
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| 357 | }
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| 358 | void Elites_ValueChanged(object sender, EventArgs e) {
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| 359 | ParameterizeSelectors();
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| 360 | }
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| 361 | #endregion
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| 362 |
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| 363 | #region Parameterization
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| 364 | private void Initialize() {
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| 365 | PopulationSizeParameter.ValueChanged += PopulationSizeParameter_ValueChanged;
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| 366 | PopulationSize.ValueChanged += PopulationSize_ValueChanged;
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| 367 | ElitesParameter.ValueChanged += ElitesParameter_ValueChanged;
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| 368 | Elites.ValueChanged += Elites_ValueChanged;
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| 369 | if (Problem != null)
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| 370 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
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| 371 | }
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| 372 | private void ParameterizeSolutionsCreator() {
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| 373 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 374 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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[11590] | 375 | MainLoop.LayerUpdator.SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 376 | MainLoop.LayerUpdator.SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
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[11586] | 377 |
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[11578] | 378 | }
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| 379 | private void ParameterizeMainLoop() {
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[11583] | 380 | //MainLoop.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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| 381 | //MainLoop.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 382 | //MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 383 | //MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 384 | MainLoop.MainOperator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
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| 385 | MainLoop.MainOperator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 386 | MainLoop.MainOperator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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[11586] | 387 | MainLoop.EldersEmigrator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 388 | MainLoop.EldersEmigrator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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[11578] | 389 | }
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| 390 | private void ParameterizeSelectors() {
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| 391 | foreach (var selector in SelectorParameter.ValidValues) {
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| 392 | selector.CopySelected = new BoolValue(true);
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| 393 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize.Value - Elites.Value));
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| 394 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
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| 395 | ParameterizeStochasticOperatorForLayer(selector);
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| 396 | }
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| 397 | if (Problem != null) {
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| 398 | foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
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| 399 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 400 | selector.MaximizationParameter.Hidden = true;
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| 401 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 402 | selector.QualityParameter.Hidden = true;
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| 403 | }
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| 404 | }
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| 405 | }
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| 406 | private void ParameterizeAnalyzers() {
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| 407 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
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| 408 | qualityAnalyzer.ResultsParameter.Hidden = true;
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| 409 | qualityAnalyzer.QualityParameter.Depth = 2;
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| 410 | layerQualityAnalyzer.ResultsParameter.ActualName = "Results";
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| 411 | layerQualityAnalyzer.ResultsParameter.Hidden = true;
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| 412 | layerQualityAnalyzer.QualityParameter.Depth = 1;
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| 413 | if (Problem != null) {
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| 414 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 415 | qualityAnalyzer.MaximizationParameter.Hidden = true;
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| 416 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
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| 417 | qualityAnalyzer.QualityParameter.Hidden = true;
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| 418 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
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| 419 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
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| 420 | layerQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
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| 421 | layerQualityAnalyzer.MaximizationParameter.Hidden = true;
|
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| 422 | layerQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
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| 423 | layerQualityAnalyzer.QualityParameter.Hidden = true;
|
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| 424 | layerQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
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| 425 | layerQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
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| 426 | }
|
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| 427 | }
|
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| 428 | private void ParameterizeIterationBasedOperators() {
|
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| 429 | if (Problem != null) {
|
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| 430 | foreach (var @operator in Problem.Operators.OfType<IIterationBasedOperator>()) {
|
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| 431 | @operator.IterationsParameter.ActualName = "Generations";
|
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| 432 | @operator.IterationsParameter.Hidden = true;
|
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| 433 | @operator.MaximumIterationsParameter.ActualName = "MaximumGenerations";
|
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| 434 | @operator.MaximumIterationsParameter.Hidden = true;
|
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| 435 | }
|
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| 436 | }
|
---|
| 437 | }
|
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| 438 | private void ParameterizeStochasticOperator(IOperator @operator) {
|
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| 439 | var stochasticOperator = @operator as IStochasticOperator;
|
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| 440 | if (stochasticOperator != null) {
|
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| 441 | stochasticOperator.RandomParameter.ActualName = GlobalRandomCreator.RandomParameter.ActualName;
|
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| 442 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 443 | }
|
---|
| 444 | }
|
---|
| 445 | private void ParameterizeStochasticOperatorForLayer(IOperator @operator) {
|
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| 446 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
| 447 | if (stochasticOperator != null) {
|
---|
| 448 | stochasticOperator.RandomParameter.ActualName = "LocalRandom";
|
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| 449 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 450 | }
|
---|
| 451 | }
|
---|
| 452 |
|
---|
| 453 | #endregion
|
---|
| 454 |
|
---|
| 455 | #region Updates
|
---|
| 456 | private void UpdateCrossovers() {
|
---|
| 457 | var oldCrossover = CrossoverParameter.Value;
|
---|
| 458 | var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
---|
| 459 | CrossoverParameter.ValidValues.Clear();
|
---|
| 460 | foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(c => c.Name)) {
|
---|
| 461 | ParameterizeStochasticOperatorForLayer(crossover);
|
---|
| 462 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
| 463 | }
|
---|
| 464 | if (oldCrossover != null) {
|
---|
| 465 | var crossover = CrossoverParameter.ValidValues.FirstOrDefault(c => c.GetType() == oldCrossover.GetType());
|
---|
| 466 | CrossoverParameter.Value = crossover;
|
---|
| 467 | }
|
---|
| 468 | if (oldCrossover == null && defaultCrossover != null)
|
---|
| 469 | CrossoverParameter.Value = defaultCrossover;
|
---|
| 470 | }
|
---|
| 471 | private void UpdateMutators() {
|
---|
| 472 | var oldMutator = MutatorParameter.Value;
|
---|
| 473 | MutatorParameter.ValidValues.Clear();
|
---|
| 474 | foreach (var mutator in Problem.Operators.OfType<IManipulator>().OrderBy(m => m.Name)) {
|
---|
| 475 | ParameterizeStochasticOperatorForLayer(mutator);
|
---|
| 476 | MutatorParameter.ValidValues.Add(mutator);
|
---|
| 477 | }
|
---|
| 478 | if (oldMutator != null) {
|
---|
| 479 | var mutator = MutatorParameter.ValidValues.FirstOrDefault(m => m.GetType() == oldMutator.GetType());
|
---|
| 480 | MutatorParameter.Value = mutator;
|
---|
| 481 | }
|
---|
| 482 | }
|
---|
| 483 | private void UpdateAnalyzers() {
|
---|
| 484 | Analyzer.Operators.Clear();
|
---|
| 485 | LayerAnalyzer.Operators.Clear();
|
---|
| 486 |
|
---|
| 487 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
|
---|
| 488 | LayerAnalyzer.Operators.Add(layerQualityAnalyzer, layerQualityAnalyzer.EnabledByDefault);
|
---|
| 489 |
|
---|
| 490 | if (Problem != null) {
|
---|
| 491 | foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
---|
| 492 | foreach (var parameter in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
|
---|
| 493 | parameter.Depth = 2;
|
---|
| 494 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
---|
| 495 | }
|
---|
| 496 | }
|
---|
| 497 | }
|
---|
| 498 | #endregion
|
---|
[11567] | 499 | }
|
---|
| 500 | } |
---|