[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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[12531] | 23 | using System.Collections.Generic;
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[11578] | 24 | using System.Linq;
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[12993] | 25 | using HeuristicLab.Analysis;
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| 26 | using HeuristicLab.Collections;
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[11567] | 27 | using HeuristicLab.Common;
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| 28 | using HeuristicLab.Core;
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[11568] | 29 | using HeuristicLab.Data;
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| 30 | using HeuristicLab.Operators;
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[11567] | 31 | using HeuristicLab.Optimization;
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[11578] | 32 | using HeuristicLab.Optimization.Operators;
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[11568] | 33 | using HeuristicLab.Parameters;
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[11567] | 34 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[11578] | 35 | using HeuristicLab.PluginInfrastructure;
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| 36 | using HeuristicLab.Random;
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| 37 | using HeuristicLab.Selection;
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[11567] | 38 |
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| 39 | namespace HeuristicLab.Algorithms.ALPS {
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[12994] | 40 | [Item("ALPS Genetic Algorithm", "A genetic algorithm within an age-layered population structure as described in Gregory S. Hornby. 2006. ALPS: the age-layered population structure for reducing the problem of premature convergence. In Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO '06). 815-822.")]
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| 41 | [Creatable(CreatableAttribute.Categories.PopulationBasedAlgorithms, Priority = 160)]
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[11567] | 42 | [StorableClass]
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[12993] | 43 | public sealed class AlpsGeneticAlgorithm : HeuristicOptimizationEngineAlgorithm, IStorableContent {
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| 44 | public string Filename { get; set; }
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| 45 |
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| 46 | #region Problem Properties
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| 47 | public override Type ProblemType {
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| 48 | get { return typeof(ISingleObjectiveHeuristicOptimizationProblem); }
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| 49 | }
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| 50 | public new ISingleObjectiveHeuristicOptimizationProblem Problem {
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| 51 | get { return (ISingleObjectiveHeuristicOptimizationProblem)base.Problem; }
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| 52 | set { base.Problem = value; }
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| 53 | }
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| 54 | #endregion
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| 55 |
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[11567] | 56 | #region Parameter Properties
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[12993] | 57 | private IValueParameter<IntValue> SeedParameter {
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| 58 | get { return (IValueParameter<IntValue>)Parameters["Seed"]; }
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| 59 | }
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| 60 | private IValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 61 | get { return (IValueParameter<BoolValue>)Parameters["SetSeedRandomly"]; }
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| 62 | }
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| 63 |
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| 64 | private IFixedValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 65 | get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["Analyzer"]; }
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| 66 | }
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| 67 | private IFixedValueParameter<MultiAnalyzer> LayerAnalyzerParameter {
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| 68 | get { return (IFixedValueParameter<MultiAnalyzer>)Parameters["LayerAnalyzer"]; }
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| 69 | }
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| 70 |
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| 71 | private IValueParameter<IntValue> NumberOfLayersParameter {
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| 72 | get { return (IValueParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 73 | }
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[12992] | 74 | private IValueParameter<IntValue> PopulationSizeParameter {
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| 75 | get { return (IValueParameter<IntValue>)Parameters["PopulationSize"]; }
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[11568] | 76 | }
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[12993] | 77 |
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[11568] | 78 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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| 79 | get { return (IConstrainedValueParameter<ISelector>)Parameters["Selector"]; }
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| 80 | }
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| 81 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 82 | get { return (IConstrainedValueParameter<ICrossover>)Parameters["Crossover"]; }
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| 83 | }
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[12993] | 84 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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| 85 | get { return (IConstrainedValueParameter<IManipulator>)Parameters["Mutator"]; }
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| 86 | }
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[11568] | 87 | private IValueParameter<PercentValue> MutationProbabilityParameter {
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| 88 | get { return (IValueParameter<PercentValue>)Parameters["MutationProbability"]; }
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| 89 | }
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| 90 | private IValueParameter<IntValue> ElitesParameter {
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| 91 | get { return (IValueParameter<IntValue>)Parameters["Elites"]; }
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| 92 | }
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| 93 | private IFixedValueParameter<BoolValue> ReevaluateElitesParameter {
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| 94 | get { return (IFixedValueParameter<BoolValue>)Parameters["ReevaluateElites"]; }
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| 95 | }
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[12186] | 96 | private IValueParameter<BoolValue> PlusSelectionParameter {
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| 97 | get { return (IValueParameter<BoolValue>)Parameters["PlusSelection"]; }
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| 98 | }
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[12993] | 99 |
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| 100 | private IValueParameter<EnumValue<AgingScheme>> AgingSchemeParameter {
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| 101 | get { return (IValueParameter<EnumValue<AgingScheme>>)Parameters["AgingScheme"]; }
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| 102 | }
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| 103 | private IValueParameter<IntValue> AgeGapParameter {
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| 104 | get { return (IValueParameter<IntValue>)Parameters["AgeGap"]; }
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| 105 | }
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[12997] | 106 | private IValueParameter<DoubleValue> AgeInheritanceParameter {
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| 107 | get { return (IValueParameter<DoubleValue>)Parameters["AgeInheritance"]; }
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[12993] | 108 | }
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| 109 | private IValueParameter<IntArray> AgeLimitsParameter {
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| 110 | get { return (IValueParameter<IntArray>)Parameters["AgeLimits"]; }
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| 111 | }
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| 112 |
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| 113 | private IValueParameter<IntValue> MatingPoolRangeParameter {
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| 114 | get { return (IValueParameter<IntValue>)Parameters["MatingPoolRange"]; }
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| 115 | }
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| 116 |
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| 117 | private IValueParameter<MultiTerminator> TerminatorParameter {
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| 118 | get { return (IValueParameter<MultiTerminator>)Parameters["Terminator"]; }
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| 119 | }
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[11567] | 120 | #endregion
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| 121 |
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| 122 | #region Properties
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[12993] | 123 | public IntValue Seed {
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| 124 | get { return SeedParameter.Value; }
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| 125 | set { SeedParameter.Value = value; }
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| 126 | }
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| 127 | public BoolValue SetSeedRandomly {
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| 128 | get { return SetSeedRandomlyParameter.Value; }
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| 129 | set { SetSeedRandomlyParameter.Value = value; }
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| 130 | }
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| 131 |
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| 132 | public MultiAnalyzer Analyzer {
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| 133 | get { return AnalyzerParameter.Value; }
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| 134 | }
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| 135 | public MultiAnalyzer LayerAnalyzer {
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| 136 | get { return LayerAnalyzerParameter.Value; }
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| 137 | }
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| 138 |
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| 139 | public IntValue NumberOfLayers {
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| 140 | get { return NumberOfLayersParameter.Value; }
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| 141 | set { NumberOfLayersParameter.Value = value; }
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| 142 | }
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[12992] | 143 | public IntValue PopulationSize {
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[11568] | 144 | get { return PopulationSizeParameter.Value; }
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| 145 | set { PopulationSizeParameter.Value = value; }
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| 146 | }
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[12993] | 147 |
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[11568] | 148 | public ISelector Selector {
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| 149 | get { return SelectorParameter.Value; }
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| 150 | set { SelectorParameter.Value = value; }
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| 151 | }
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| 152 | public ICrossover Crossover {
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| 153 | get { return CrossoverParameter.Value; }
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| 154 | set { CrossoverParameter.Value = value; }
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| 155 | }
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[12993] | 156 | public IManipulator Mutator {
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| 157 | get { return MutatorParameter.Value; }
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| 158 | set { MutatorParameter.Value = value; }
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| 159 | }
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[11568] | 160 | public PercentValue MutationProbability {
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| 161 | get { return MutationProbabilityParameter.Value; }
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| 162 | set { MutationProbabilityParameter.Value = value; }
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| 163 | }
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| 164 | public IntValue Elites {
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| 165 | get { return ElitesParameter.Value; }
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| 166 | set { ElitesParameter.Value = value; }
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| 167 | }
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| 168 | public bool ReevaluteElites {
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| 169 | get { return ReevaluateElitesParameter.Value.Value; }
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| 170 | set { ReevaluateElitesParameter.Value.Value = value; }
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| 171 | }
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[12186] | 172 | public bool PlusSelection {
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| 173 | get { return PlusSelectionParameter.Value.Value; }
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| 174 | set { PlusSelectionParameter.Value.Value = value; }
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| 175 | }
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[11578] | 176 |
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[12993] | 177 | public EnumValue<AgingScheme> AgingScheme {
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| 178 | get { return AgingSchemeParameter.Value; }
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| 179 | set { AgingSchemeParameter.Value = value; }
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| 180 | }
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| 181 | public IntValue AgeGap {
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| 182 | get { return AgeGapParameter.Value; }
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| 183 | set { AgeGapParameter.Value = value; }
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| 184 | }
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[12997] | 185 | public DoubleValue AgeInheritance {
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[12993] | 186 | get { return AgeInheritanceParameter.Value; }
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| 187 | set { AgeInheritanceParameter.Value = value; }
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| 188 | }
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| 189 | public IntArray AgeLimits {
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| 190 | get { return AgeLimitsParameter.Value; }
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| 191 | set { AgeLimitsParameter.Value = value; }
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| 192 | }
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| 193 |
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| 194 | public IntValue MatingPoolRange {
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| 195 | get { return MatingPoolRangeParameter.Value; }
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| 196 | set { MatingPoolRangeParameter.Value = value; }
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| 197 | }
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| 198 |
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| 199 | public MultiTerminator Terminators {
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| 200 | get { return TerminatorParameter.Value; }
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| 201 | }
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| 202 |
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| 203 | public int MaximumGenerations {
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| 204 | get { return generationsTerminator.Threshold.Value; }
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| 205 | set { generationsTerminator.Threshold.Value = value; }
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| 206 | }
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| 207 | #endregion
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| 208 |
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| 209 | #region Helper Properties
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| 210 | private SolutionsCreator SolutionsCreator {
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| 211 | get { return OperatorGraph.Iterate().OfType<SolutionsCreator>().First(); }
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| 212 | }
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[11580] | 213 | private AlpsGeneticAlgorithmMainLoop MainLoop {
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| 214 | get { return OperatorGraph.Iterate().OfType<AlpsGeneticAlgorithmMainLoop>().First(); }
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| 215 | }
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[11676] | 216 | #endregion
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| 217 |
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[12993] | 218 | #region Preconfigured Analyzers
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[12531] | 219 | [Storable]
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[12993] | 220 | private BestAverageWorstQualityAnalyzer qualityAnalyzer;
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| 221 | [Storable]
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| 222 | private BestAverageWorstQualityAnalyzer layerQualityAnalyzer;
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[12996] | 223 | [Storable]
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| 224 | private OldestAverageYoungestAgeAnalyzer ageAnalyzer;
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| 225 | [Storable]
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| 226 | private OldestAverageYoungestAgeAnalyzer layerAgeAnalyzer;
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| 227 | [Storable]
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| 228 | private AgeDistributionAnalyzer ageDistributionAnalyzer;
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| 229 | [Storable]
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| 230 | private AgeDistributionAnalyzer layerAgeDistributionAnalyzer;
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[12993] | 231 | #endregion
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| 232 |
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| 233 | #region Preconfigured Terminators
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| 234 | [Storable]
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[12531] | 235 | private ComparisonTerminator<IntValue> generationsTerminator;
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[12993] | 236 | [Storable]
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| 237 | private ComparisonTerminator<IntValue> evaluationsTerminator;
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| 238 | [Storable]
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| 239 | private SingleObjectiveQualityTerminator qualityTerminator;
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| 240 | [Storable]
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| 241 | private ExecutionTimeTerminator executionTimeTerminator;
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| 242 | #endregion
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[12531] | 243 |
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[12996] | 244 | #region Constructors
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[11567] | 245 | [StorableConstructor]
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| 246 | private AlpsGeneticAlgorithm(bool deserializing)
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| 247 | : base(deserializing) { }
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[12570] | 248 | [StorableHook(HookType.AfterDeserialization)]
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| 249 | private void AfterDeserialization() {
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| 250 | Initialize();
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| 251 | }
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[11567] | 252 | private AlpsGeneticAlgorithm(AlpsGeneticAlgorithm original, Cloner cloner)
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| 253 | : base(original, cloner) {
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[12993] | 254 | qualityAnalyzer = cloner.Clone(original.qualityAnalyzer);
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| 255 | layerQualityAnalyzer = cloner.Clone(original.layerQualityAnalyzer);
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[12996] | 256 | ageAnalyzer = cloner.Clone(original.ageAnalyzer);
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| 257 | layerAgeAnalyzer = cloner.Clone(original.layerAgeAnalyzer);
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| 258 | ageDistributionAnalyzer = cloner.Clone(original.ageDistributionAnalyzer);
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| 259 | layerAgeDistributionAnalyzer = cloner.Clone(original.layerAgeDistributionAnalyzer);
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[12531] | 260 | generationsTerminator = cloner.Clone(original.generationsTerminator);
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[12993] | 261 | evaluationsTerminator = cloner.Clone(original.evaluationsTerminator);
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| 262 | qualityTerminator = cloner.Clone(original.qualityTerminator);
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| 263 | executionTimeTerminator = cloner.Clone(original.executionTimeTerminator);
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[11578] | 264 | Initialize();
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[11567] | 265 | }
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| 266 | public override IDeepCloneable Clone(Cloner cloner) {
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| 267 | return new AlpsGeneticAlgorithm(this, cloner);
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| 268 | }
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| 269 | public AlpsGeneticAlgorithm()
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| 270 | : base() {
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[12993] | 271 | #region Add parameters
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| 272 | 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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| 273 | 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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| 274 |
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| 275 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze the islands.", new MultiAnalyzer()));
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| 276 | Parameters.Add(new FixedValueParameter<MultiAnalyzer>("LayerAnalyzer", "The operator used to analyze each layer.", new MultiAnalyzer()));
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| 277 |
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| 278 | Parameters.Add(new ValueParameter<IntValue>("NumberOfLayers", "The number of layers.", new IntValue(10)));
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[12992] | 279 | Parameters.Add(new ValueParameter<IntValue>("PopulationSize", "The size of the population of solutions each layer.", new IntValue(100)));
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[12993] | 280 |
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[11568] | 281 | Parameters.Add(new ConstrainedValueParameter<ISelector>("Selector", "The operator used to select solutions for reproduction."));
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| 282 | Parameters.Add(new ConstrainedValueParameter<ICrossover>("Crossover", "The operator used to cross solutions."));
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[12993] | 283 | Parameters.Add(new OptionalConstrainedValueParameter<IManipulator>("Mutator", "The operator used to mutate solutions."));
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[11568] | 284 | 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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| 285 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite solutions which are kept in each generation.", new IntValue(1)));
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| 286 | 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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[12998] | 287 | Parameters.Add(new ValueParameter<BoolValue>("PlusSelection", "Include the parents in the selection of the invividuals for the next generation.", new BoolValue(false)));
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[11578] | 288 |
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[12993] | 289 | Parameters.Add(new ValueParameter<EnumValue<AgingScheme>>("AgingScheme", "The aging scheme for setting the age-limits for the layers.", new EnumValue<AgingScheme>(ALPS.AgingScheme.Polynomial)));
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| 290 | 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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[12997] | 291 | Parameters.Add(new ValueParameter<DoubleValue>("AgeInheritance", "A weight that determines the age of a child after crossover based on the older (1.0) and younger (0.0) parent.", new DoubleValue(1.0)) { Hidden = true });
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[12993] | 292 | Parameters.Add(new ValueParameter<IntArray>("AgeLimits", new IntArray(new int[0])) { Hidden = true });
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| 293 |
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| 294 | 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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| 295 |
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| 296 | Parameters.Add(new ValueParameter<MultiTerminator>("Terminator", "The termination criteria which sould be checked.", new MultiTerminator()));
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| 297 | #endregion
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| 298 |
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| 299 | #region Create operators
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[11578] | 300 | var globalRandomCreator = new RandomCreator();
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| 301 | var layer0Creator = new SubScopesCreator() { Name = "Create Layer Zero" };
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[12992] | 302 | var layer0Processor = new UniformSubScopesProcessor();
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[11578] | 303 | var localRandomCreator = new LocalRandomCreator();
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[11585] | 304 | var layerVariableCreator = new VariableCreator();
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[11578] | 305 | var layerSolutionsCreator = new SolutionsCreator();
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| 306 | var initializeAgeProcessor = new UniformSubScopesProcessor();
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| 307 | var initializeAge = new VariableCreator() { Name = "Initialize Age" };
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[11676] | 308 | var initializeLayerPopulationSize = new SubScopesCounter() { Name = "Init LayerPopulationCounter" };
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| 309 | var initializeLocalEvaluatedSolutions = new Assigner() { Name = "Initialize LayerEvaluatedSolutions" };
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[11578] | 310 | var initializeGlobalEvaluatedSolutions = new DataReducer() { Name = "Initialize EvaluatedSolutions" };
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| 311 | var resultsCollector = new ResultsCollector();
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[11580] | 312 | var mainLoop = new AlpsGeneticAlgorithmMainLoop();
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[12993] | 313 | #endregion
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[11580] | 314 |
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[12993] | 315 | #region Create and parameterize operator graph
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[11578] | 316 | OperatorGraph.InitialOperator = globalRandomCreator;
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| 317 |
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| 318 | globalRandomCreator.RandomParameter.ActualName = "GlobalRandom";
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| 319 | globalRandomCreator.SeedParameter.Value = null;
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| 320 | globalRandomCreator.SetSeedRandomlyParameter.Value = null;
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| 321 | globalRandomCreator.Successor = layer0Creator;
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| 322 |
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| 323 | layer0Creator.NumberOfSubScopesParameter.Value = new IntValue(1);
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| 324 | layer0Creator.Successor = layer0Processor;
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| 325 |
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[12035] | 326 | layer0Processor.Operator = localRandomCreator;
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[11578] | 327 | layer0Processor.Successor = initializeGlobalEvaluatedSolutions;
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| 328 |
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[11585] | 329 | localRandomCreator.Successor = layerVariableCreator;
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[11578] | 330 |
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[11585] | 331 | layerVariableCreator.CollectedValues.Add(new ValueParameter<IntValue>("Layer", new IntValue(0)));
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| 332 | layerVariableCreator.Successor = layerSolutionsCreator;
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| 333 |
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[11578] | 334 | layerSolutionsCreator.NumberOfSolutionsParameter.ActualName = PopulationSizeParameter.Name;
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| 335 | layerSolutionsCreator.Successor = initializeAgeProcessor;
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| 336 |
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| 337 | initializeAgeProcessor.Operator = initializeAge;
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[11676] | 338 | initializeAgeProcessor.Successor = initializeLayerPopulationSize;
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[11578] | 339 |
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[11676] | 340 | initializeLayerPopulationSize.ValueParameter.ActualName = "LayerPopulationSize";
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| 341 | initializeLayerPopulationSize.Successor = initializeLocalEvaluatedSolutions;
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| 342 |
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[13046] | 343 | initializeAge.CollectedValues.Add(new ValueParameter<DoubleValue>("Age", new DoubleValue(0)));
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[11578] | 344 | initializeAge.Successor = null;
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| 345 |
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[11676] | 346 | initializeLocalEvaluatedSolutions.LeftSideParameter.ActualName = "LayerEvaluatedSolutions";
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| 347 | initializeLocalEvaluatedSolutions.RightSideParameter.ActualName = "LayerPopulationSize";
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[11578] | 348 | initializeLocalEvaluatedSolutions.Successor = null;
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| 349 |
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| 350 | initializeGlobalEvaluatedSolutions.ReductionOperation.Value.Value = ReductionOperations.Sum;
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| 351 | initializeGlobalEvaluatedSolutions.TargetOperation.Value.Value = ReductionOperations.Assign;
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[11590] | 352 | initializeGlobalEvaluatedSolutions.ParameterToReduce.ActualName = "LayerEvaluatedSolutions";
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[11578] | 353 | initializeGlobalEvaluatedSolutions.TargetParameter.ActualName = "EvaluatedSolutions";
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| 354 | initializeGlobalEvaluatedSolutions.Successor = resultsCollector;
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| 355 |
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[11609] | 356 | resultsCollector.CollectedValues.Add(new LookupParameter<IntValue>("Evaluated Solutions", null, "EvaluatedSolutions"));
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[11578] | 357 | resultsCollector.Successor = mainLoop;
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[12993] | 358 | #endregion
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[11578] | 359 |
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[12993] | 360 | #region Set selectors
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[11578] | 361 | foreach (var selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(s => !(s is IMultiObjectiveSelector)).OrderBy(s => Name))
|
---|
| 362 | SelectorParameter.ValidValues.Add(selector);
|
---|
[12993] | 363 | var defaultSelector = SelectorParameter.ValidValues.OfType<GeneralizedRankSelector>().FirstOrDefault();
|
---|
| 364 | if (defaultSelector != null) {
|
---|
| 365 | defaultSelector.PressureParameter.Value = new DoubleValue(4);
|
---|
| 366 | SelectorParameter.Value = defaultSelector;
|
---|
[12119] | 367 | }
|
---|
[12993] | 368 | #endregion
|
---|
[11578] | 369 |
|
---|
[12993] | 370 | #region Create analyzers
|
---|
| 371 | qualityAnalyzer = new BestAverageWorstQualityAnalyzer();
|
---|
| 372 | layerQualityAnalyzer = new BestAverageWorstQualityAnalyzer();
|
---|
[12996] | 373 | ageAnalyzer = new OldestAverageYoungestAgeAnalyzer();
|
---|
| 374 | layerAgeAnalyzer = new OldestAverageYoungestAgeAnalyzer();
|
---|
| 375 | ageDistributionAnalyzer = new AgeDistributionAnalyzer();
|
---|
| 376 | layerAgeDistributionAnalyzer = new AgeDistributionAnalyzer();
|
---|
[12993] | 377 | #endregion
|
---|
| 378 |
|
---|
| 379 | #region Create terminators
|
---|
[12548] | 380 | generationsTerminator = new ComparisonTerminator<IntValue>("Generations", ComparisonType.Less, new IntValue(1000)) { Name = "Generations" };
|
---|
[12993] | 381 | evaluationsTerminator = new ComparisonTerminator<IntValue>("EvaluatedSolutions", ComparisonType.Less, new IntValue(int.MaxValue)) { Name = "Evaluations" };
|
---|
| 382 | qualityTerminator = new SingleObjectiveQualityTerminator() { Name = "Quality" };
|
---|
| 383 | executionTimeTerminator = new ExecutionTimeTerminator(this, new TimeSpanValue(TimeSpan.FromMinutes(5)));
|
---|
| 384 | #endregion
|
---|
[12548] | 385 |
|
---|
[12993] | 386 | #region Parameterize
|
---|
[12997] | 387 | UpdateAnalyzers();
|
---|
[12993] | 388 | ParameterizeAnalyzers();
|
---|
| 389 |
|
---|
[11578] | 390 | ParameterizeSelectors();
|
---|
[12548] | 391 |
|
---|
| 392 | UpdateTerminators();
|
---|
| 393 |
|
---|
[12993] | 394 | ParameterizeAgeLimits();
|
---|
| 395 | #endregion
|
---|
| 396 |
|
---|
[11578] | 397 | Initialize();
|
---|
[11567] | 398 | }
|
---|
[12996] | 399 | #endregion
|
---|
[11578] | 400 |
|
---|
| 401 | #region Events
|
---|
[12993] | 402 | public override void Prepare() {
|
---|
| 403 | if (Problem != null)
|
---|
| 404 | base.Prepare();
|
---|
| 405 | }
|
---|
[11578] | 406 | protected override void OnProblemChanged() {
|
---|
[12119] | 407 | base.OnProblemChanged();
|
---|
[12993] | 408 | ParameterizeStochasticOperator(Problem.SolutionCreator);
|
---|
| 409 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
|
---|
| 410 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
|
---|
| 411 | ParameterizeStochasticOperator(@operator);
|
---|
| 412 |
|
---|
| 413 | ParameterizeIterationBasedOperators();
|
---|
| 414 |
|
---|
[11578] | 415 | ParameterizeSolutionsCreator();
|
---|
| 416 | ParameterizeMainLoop();
|
---|
[12993] | 417 | ParameterizeAnalyzers();
|
---|
[11578] | 418 | ParameterizeSelectors();
|
---|
[12993] | 419 | ParameterizeTerminators();
|
---|
| 420 |
|
---|
| 421 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
| 422 |
|
---|
| 423 | UpdateAnalyzers();
|
---|
[11578] | 424 | UpdateCrossovers();
|
---|
| 425 | UpdateMutators();
|
---|
[12548] | 426 | UpdateTerminators();
|
---|
[11578] | 427 | }
|
---|
[12993] | 428 |
|
---|
| 429 | protected override void RegisterProblemEvents() {
|
---|
| 430 | base.RegisterProblemEvents();
|
---|
| 431 | var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
|
---|
| 432 | if (maximizationParameter != null) maximizationParameter.ValueChanged += new EventHandler(MaximizationParameter_ValueChanged);
|
---|
| 433 | }
|
---|
| 434 | protected override void DeregisterProblemEvents() {
|
---|
| 435 | var maximizationParameter = (IValueParameter<BoolValue>)Problem.MaximizationParameter;
|
---|
| 436 | if (maximizationParameter != null) maximizationParameter.ValueChanged -= new EventHandler(MaximizationParameter_ValueChanged);
|
---|
| 437 | base.DeregisterProblemEvents();
|
---|
| 438 | }
|
---|
| 439 |
|
---|
[11578] | 440 | protected override void Problem_SolutionCreatorChanged(object sender, EventArgs e) {
|
---|
[12119] | 441 | base.Problem_SolutionCreatorChanged(sender, e);
|
---|
[12993] | 442 | ParameterizeStochasticOperator(Problem.SolutionCreator);
|
---|
| 443 | ParameterizeStochasticOperatorForLayer(Problem.Evaluator);
|
---|
| 444 |
|
---|
| 445 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
| 446 |
|
---|
[11578] | 447 | ParameterizeSolutionsCreator();
|
---|
[12993] | 448 | ParameterizeAnalyzers();
|
---|
[11578] | 449 | }
|
---|
| 450 | protected override void Problem_EvaluatorChanged(object sender, EventArgs e) {
|
---|
[12119] | 451 | base.Problem_EvaluatorChanged(sender, e);
|
---|
[12993] | 452 | foreach (var @operator in Problem.Operators.OfType<IOperator>())
|
---|
| 453 | ParameterizeStochasticOperator(@operator);
|
---|
| 454 |
|
---|
| 455 | UpdateAnalyzers();
|
---|
| 456 |
|
---|
[11578] | 457 | ParameterizeSolutionsCreator();
|
---|
| 458 | ParameterizeMainLoop();
|
---|
| 459 | ParameterizeSelectors();
|
---|
| 460 | }
|
---|
| 461 | protected override void Problem_OperatorsChanged(object sender, EventArgs e) {
|
---|
[12119] | 462 | base.Problem_OperatorsChanged(sender, e);
|
---|
[12120] | 463 | ParameterizeIterationBasedOperators();
|
---|
[11578] | 464 | UpdateCrossovers();
|
---|
| 465 | UpdateMutators();
|
---|
[12548] | 466 | UpdateTerminators();
|
---|
[11578] | 467 | }
|
---|
[12993] | 468 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
|
---|
[11578] | 469 | ParameterizeMainLoop();
|
---|
[12993] | 470 | ParameterizeAnalyzers();
|
---|
[11578] | 471 | ParameterizeSelectors();
|
---|
| 472 | }
|
---|
[12993] | 473 | private void MaximizationParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 474 | ParameterizeTerminators();
|
---|
| 475 | }
|
---|
| 476 | private void QualityAnalyzer_CurrentBestQualityParameter_NameChanged(object sender, EventArgs e) {
|
---|
| 477 | ParameterizeTerminators();
|
---|
| 478 | }
|
---|
| 479 |
|
---|
| 480 | private void AgeGapParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 481 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
| 482 | ParameterizeAgeLimits();
|
---|
| 483 | }
|
---|
| 484 | private void AgeGap_ValueChanged(object sender, EventArgs e) {
|
---|
| 485 | ParameterizeAgeLimits();
|
---|
| 486 | }
|
---|
| 487 | private void AgingSchemeParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 488 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
| 489 | ParameterizeAgeLimits();
|
---|
| 490 | }
|
---|
| 491 | private void AgingScheme_ValueChanged(object sender, EventArgs e) {
|
---|
| 492 | ParameterizeAgeLimits();
|
---|
| 493 | }
|
---|
| 494 | private void NumberOfLayersParameter_ValueChanged(object sender, EventArgs e) {
|
---|
| 495 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
| 496 | ParameterizeAgeLimits();
|
---|
| 497 | }
|
---|
| 498 | private void NumberOfLayers_ValueChanged(object sender, EventArgs e) {
|
---|
| 499 | ParameterizeAgeLimits();
|
---|
| 500 | }
|
---|
| 501 |
|
---|
| 502 | private void AnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
|
---|
| 503 | foreach (var analyzer in e.Items) {
|
---|
| 504 | foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
|
---|
| 505 | parameter.Depth = 2;
|
---|
| 506 | }
|
---|
| 507 | }
|
---|
| 508 | }
|
---|
| 509 | private void LayerAnalyzerOperators_ItemsAdded(object sender, CollectionItemsChangedEventArgs<IndexedItem<IAnalyzer>> e) {
|
---|
| 510 | foreach (var analyzer in e.Items) {
|
---|
| 511 | IParameter resultParameter;
|
---|
| 512 | if (analyzer.Value.Parameters.TryGetValue("Results", out resultParameter)) {
|
---|
| 513 | var lookupParameter = resultParameter as ILookupParameter;
|
---|
| 514 | if (lookupParameter != null)
|
---|
| 515 | lookupParameter.ActualName = "LayerResults";
|
---|
| 516 | }
|
---|
| 517 | foreach (var parameter in analyzer.Value.Parameters.OfType<IScopeTreeLookupParameter>()) {
|
---|
| 518 | parameter.Depth = 1;
|
---|
| 519 | }
|
---|
| 520 | }
|
---|
| 521 | }
|
---|
[11578] | 522 | #endregion
|
---|
| 523 |
|
---|
| 524 | #region Parameterization
|
---|
| 525 | private void Initialize() {
|
---|
[12993] | 526 | if (Problem != null)
|
---|
| 527 | Problem.Evaluator.QualityParameter.ActualNameChanged += Evaluator_QualityParameter_ActualNameChanged;
|
---|
| 528 |
|
---|
| 529 | NumberOfLayersParameter.ValueChanged += NumberOfLayersParameter_ValueChanged;
|
---|
| 530 | NumberOfLayers.ValueChanged += NumberOfLayers_ValueChanged;
|
---|
| 531 |
|
---|
| 532 | Analyzer.Operators.ItemsAdded += AnalyzerOperators_ItemsAdded;
|
---|
| 533 | LayerAnalyzer.Operators.ItemsAdded += LayerAnalyzerOperators_ItemsAdded;
|
---|
| 534 |
|
---|
| 535 | AgeGapParameter.ValueChanged += AgeGapParameter_ValueChanged;
|
---|
| 536 | AgeGap.ValueChanged += AgeGap_ValueChanged;
|
---|
| 537 | AgingSchemeParameter.ValueChanged += AgingSchemeParameter_ValueChanged;
|
---|
| 538 | AgingScheme.ValueChanged += AgingScheme_ValueChanged;
|
---|
| 539 |
|
---|
| 540 | qualityAnalyzer.CurrentBestQualityParameter.NameChanged += new EventHandler(QualityAnalyzer_CurrentBestQualityParameter_NameChanged);
|
---|
[11578] | 541 | }
|
---|
| 542 | private void ParameterizeSolutionsCreator() {
|
---|
[12993] | 543 | SolutionsCreator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
| 544 | SolutionsCreator.SolutionCreatorParameter.ActualName = Problem.SolutionCreatorParameter.Name;
|
---|
[11578] | 545 | }
|
---|
| 546 | private void ParameterizeMainLoop() {
|
---|
[12045] | 547 | MainLoop.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 548 | MainLoop.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[11583] | 549 | MainLoop.MainOperator.EvaluatorParameter.ActualName = Problem.EvaluatorParameter.Name;
|
---|
| 550 | MainLoop.MainOperator.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 551 | MainLoop.MainOperator.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
[11578] | 552 | }
|
---|
[12993] | 553 | private void ParameterizeAnalyzers() {
|
---|
| 554 | qualityAnalyzer.ResultsParameter.ActualName = "Results";
|
---|
| 555 | qualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
| 556 | qualityAnalyzer.QualityParameter.Depth = 2;
|
---|
[12996] | 557 | layerQualityAnalyzer.ResultsParameter.ActualName = "LayerResults";
|
---|
[12993] | 558 | layerQualityAnalyzer.ResultsParameter.Hidden = true;
|
---|
| 559 | layerQualityAnalyzer.QualityParameter.Depth = 1;
|
---|
| 560 | if (Problem != null) {
|
---|
| 561 | qualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 562 | qualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
| 563 | qualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 564 | qualityAnalyzer.QualityParameter.Hidden = true;
|
---|
| 565 | qualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
| 566 | qualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
| 567 | layerQualityAnalyzer.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 568 | layerQualityAnalyzer.MaximizationParameter.Hidden = true;
|
---|
| 569 | layerQualityAnalyzer.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 570 | layerQualityAnalyzer.QualityParameter.Hidden = true;
|
---|
| 571 | layerQualityAnalyzer.BestKnownQualityParameter.ActualName = Problem.BestKnownQualityParameter.Name;
|
---|
| 572 | layerQualityAnalyzer.BestKnownQualityParameter.Hidden = true;
|
---|
| 573 | }
|
---|
| 574 | }
|
---|
[11578] | 575 | private void ParameterizeSelectors() {
|
---|
| 576 | foreach (var selector in SelectorParameter.ValidValues) {
|
---|
| 577 | selector.CopySelected = new BoolValue(true);
|
---|
[12035] | 578 | // Explicit setting of NumberOfSelectedSubScopesParameter is not required anymore because the NumberOfSelectedSubScopesCalculator calculates it itself
|
---|
| 579 | //selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSize - Elites.Value));
|
---|
[11578] | 580 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
---|
| 581 | ParameterizeStochasticOperatorForLayer(selector);
|
---|
| 582 | }
|
---|
| 583 | if (Problem != null) {
|
---|
| 584 | foreach (var selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
---|
| 585 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
---|
| 586 | selector.MaximizationParameter.Hidden = true;
|
---|
| 587 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
---|
| 588 | selector.QualityParameter.Hidden = true;
|
---|
| 589 | }
|
---|
| 590 | }
|
---|
| 591 | }
|
---|
[12993] | 592 | private void ParameterizeTerminators() {
|
---|
| 593 | qualityTerminator.Parameterize(qualityAnalyzer.CurrentBestQualityParameter, Problem);
|
---|
| 594 | }
|
---|
[12120] | 595 | private void ParameterizeIterationBasedOperators() {
|
---|
| 596 | if (Problem != null) {
|
---|
| 597 | foreach (var @operator in Problem.Operators.OfType<IIterationBasedOperator>()) {
|
---|
| 598 | @operator.IterationsParameter.ActualName = "Generations";
|
---|
| 599 | @operator.IterationsParameter.Hidden = true;
|
---|
[12531] | 600 | @operator.MaximumIterationsParameter.ActualName = generationsTerminator.ThresholdParameter.Name;
|
---|
[12120] | 601 | @operator.MaximumIterationsParameter.Hidden = true;
|
---|
| 602 | }
|
---|
| 603 | }
|
---|
| 604 | }
|
---|
[12993] | 605 | private void ParameterizeAgeLimits() {
|
---|
| 606 | var scheme = AgingScheme.Value;
|
---|
| 607 | int ageGap = AgeGap.Value;
|
---|
| 608 | int numberOfLayers = NumberOfLayers.Value;
|
---|
| 609 | AgeLimits = scheme.CalculateAgeLimits(ageGap, numberOfLayers);
|
---|
| 610 | }
|
---|
[12271] | 611 |
|
---|
[12993] | 612 | private void ParameterizeStochasticOperator(IOperator @operator) {
|
---|
| 613 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
| 614 | if (stochasticOperator != null) {
|
---|
| 615 | stochasticOperator.RandomParameter.ActualName = "GlobalRandom";
|
---|
| 616 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 617 | }
|
---|
| 618 | }
|
---|
| 619 |
|
---|
| 620 | private void ParameterizeStochasticOperatorForLayer(IOperator @operator) {
|
---|
| 621 | var stochasticOperator = @operator as IStochasticOperator;
|
---|
| 622 | if (stochasticOperator != null) {
|
---|
| 623 | stochasticOperator.RandomParameter.ActualName = "LocalRandom";
|
---|
| 624 | stochasticOperator.RandomParameter.Hidden = true;
|
---|
| 625 | }
|
---|
| 626 | }
|
---|
| 627 |
|
---|
[11578] | 628 | #endregion
|
---|
| 629 |
|
---|
| 630 | #region Updates
|
---|
[12993] | 631 | private void UpdateAnalyzers() {
|
---|
| 632 | Analyzer.Operators.Clear();
|
---|
| 633 | LayerAnalyzer.Operators.Clear();
|
---|
| 634 |
|
---|
| 635 | Analyzer.Operators.Add(qualityAnalyzer, qualityAnalyzer.EnabledByDefault);
|
---|
[12996] | 636 | Analyzer.Operators.Add(ageAnalyzer, ageAnalyzer.EnabledByDefault);
|
---|
| 637 | Analyzer.Operators.Add(ageDistributionAnalyzer, ageDistributionAnalyzer.EnabledByDefault);
|
---|
| 638 | LayerAnalyzer.Operators.Add(layerQualityAnalyzer, false);
|
---|
| 639 | LayerAnalyzer.Operators.Add(layerAgeAnalyzer, false);
|
---|
| 640 | LayerAnalyzer.Operators.Add(layerAgeDistributionAnalyzer, false);
|
---|
[12993] | 641 |
|
---|
[12548] | 642 | if (Problem != null) {
|
---|
[12993] | 643 | foreach (var analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
---|
| 644 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
---|
[12996] | 645 | LayerAnalyzer.Operators.Add((IAnalyzer)analyzer.Clone(), false);
|
---|
[12993] | 646 | }
|
---|
[12548] | 647 | }
|
---|
[12531] | 648 | }
|
---|
[11578] | 649 | private void UpdateCrossovers() {
|
---|
| 650 | var oldCrossover = CrossoverParameter.Value;
|
---|
| 651 | var defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
---|
| 652 | CrossoverParameter.ValidValues.Clear();
|
---|
| 653 | foreach (var crossover in Problem.Operators.OfType<ICrossover>().OrderBy(c => c.Name)) {
|
---|
| 654 | ParameterizeStochasticOperatorForLayer(crossover);
|
---|
| 655 | CrossoverParameter.ValidValues.Add(crossover);
|
---|
| 656 | }
|
---|
| 657 | if (oldCrossover != null) {
|
---|
| 658 | var crossover = CrossoverParameter.ValidValues.FirstOrDefault(c => c.GetType() == oldCrossover.GetType());
|
---|
[11678] | 659 | if (crossover != null)
|
---|
| 660 | CrossoverParameter.Value = crossover;
|
---|
| 661 | else
|
---|
| 662 | oldCrossover = null;
|
---|
[11578] | 663 | }
|
---|
| 664 | if (oldCrossover == null && defaultCrossover != null)
|
---|
| 665 | CrossoverParameter.Value = defaultCrossover;
|
---|
| 666 | }
|
---|
| 667 | private void UpdateMutators() {
|
---|
| 668 | var oldMutator = MutatorParameter.Value;
|
---|
| 669 | MutatorParameter.ValidValues.Clear();
|
---|
| 670 | foreach (var mutator in Problem.Operators.OfType<IManipulator>().OrderBy(m => m.Name)) {
|
---|
| 671 | ParameterizeStochasticOperatorForLayer(mutator);
|
---|
| 672 | MutatorParameter.ValidValues.Add(mutator);
|
---|
| 673 | }
|
---|
| 674 | if (oldMutator != null) {
|
---|
| 675 | var mutator = MutatorParameter.ValidValues.FirstOrDefault(m => m.GetType() == oldMutator.GetType());
|
---|
[11678] | 676 | if (mutator != null)
|
---|
| 677 | MutatorParameter.Value = mutator;
|
---|
[11578] | 678 | }
|
---|
| 679 | }
|
---|
[12993] | 680 | private void UpdateTerminators() {
|
---|
| 681 | var newTerminators = new Dictionary<ITerminator, bool> {
|
---|
| 682 | {generationsTerminator, !Terminators.Operators.Contains(generationsTerminator) || Terminators.Operators.ItemChecked(generationsTerminator)},
|
---|
| 683 | {evaluationsTerminator, Terminators.Operators.Contains(evaluationsTerminator) && Terminators.Operators.ItemChecked(evaluationsTerminator)},
|
---|
| 684 | {qualityTerminator, Terminators.Operators.Contains(qualityTerminator) && Terminators.Operators.ItemChecked(qualityTerminator) },
|
---|
| 685 | {executionTimeTerminator, Terminators.Operators.Contains(executionTimeTerminator) && Terminators.Operators.ItemChecked(executionTimeTerminator)}
|
---|
| 686 | };
|
---|
| 687 | if (Problem != null) {
|
---|
| 688 | foreach (var terminator in Problem.Operators.OfType<ITerminator>())
|
---|
| 689 | newTerminators.Add(terminator, !Terminators.Operators.Contains(terminator) || Terminators.Operators.ItemChecked(terminator));
|
---|
| 690 | }
|
---|
| 691 |
|
---|
| 692 | Terminators.Operators.Clear();
|
---|
| 693 |
|
---|
| 694 | foreach (var newTerminator in newTerminators)
|
---|
| 695 | Terminators.Operators.Add(newTerminator.Key, newTerminator.Value);
|
---|
| 696 | }
|
---|
[11578] | 697 | #endregion
|
---|
[11567] | 698 | }
|
---|
| 699 | } |
---|