[16722] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2019 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 HEAL.Attic;
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| 23 | using HeuristicLab.Algorithms.DataAnalysis;
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| 24 | using HeuristicLab.Analysis;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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[16899] | 28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[16722] | 29 | using HeuristicLab.Optimization;
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| 30 | using HeuristicLab.Parameters;
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| 31 | using HeuristicLab.PluginInfrastructure;
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| 32 | using HeuristicLab.Problems.DataAnalysis;
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| 33 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 34 | using HeuristicLab.Random;
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| 35 | using System;
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| 36 | using System.Collections.Generic;
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[17002] | 37 | using System.IO;
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[16722] | 38 | using System.Linq;
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| 39 | using CancellationToken = System.Threading.CancellationToken;
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| 40 | using ExecutionContext = HeuristicLab.Core.ExecutionContext;
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| 41 |
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| 42 | namespace HeuristicLab.Algorithms.EvolvmentModelsOfModels {
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[17134] | 43 | [Item("EMMAlgorithmBase", "Base class for all EMM algorithm variants.")]
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[16734] | 44 | [StorableType("A56A396B-965A-4ADE-8A2B-AE3A45F9C239")]
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[16722] | 45 | public abstract class EvolvmentModelsOfModelsAlgorithmBase : FixedDataAnalysisAlgorithm<ISymbolicDataAnalysisSingleObjectiveProblem> {
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| 46 | #region data members
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| 47 | [Storable]
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[16760] | 48 | protected IList<IEMMSolution> Solutions;
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[16722] | 49 | [Storable]
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[16760] | 50 | protected List<IEMMSolution> Population;
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[16722] | 51 | [Storable]
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[16760] | 52 | protected int EvaluatedSolutions;
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[16722] | 53 | [Storable]
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| 54 | protected ExecutionContext executionContext;
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| 55 | [Storable]
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| 56 | protected IScope globalScope;
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| 57 | [Storable]
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| 58 | protected ExecutionState previousExecutionState;
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[17002] | 59 | [Storable]
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| 60 | protected IEnumerable<ISymbolicExpressionTree> trees;
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[16899] | 61 |
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| 62 | [Storable]
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| 63 | protected ExecutionState currentExecutionState;
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[16722] | 64 | #endregion
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| 65 |
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| 66 | #region parameters
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| 67 | private const string SeedParameterName = "Seed";
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| 68 | private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
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| 69 | private const string PopulationSizeParameterName = "PopulationSize";
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| 70 | private const string SelectorParameterName = "Selector";
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| 71 | private const string GroupSizeParameterName = "GroupSize";
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| 72 | private const string CrossoverProbabilityParameterName = "CrossoverProbability";
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| 73 | private const string CrossoverParameterName = "Crossover";
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| 74 | private const string MutationProbabilityParameterName = "MutationProbability";
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| 75 | private const string MutatorParameterName = "Mutator";
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| 76 | private const string MaximumEvaluatedSolutionsParameterName = "MaximumEvaluatedSolutions";
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| 77 | private const string RandomParameterName = "Random";
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| 78 | private const string AnalyzerParameterName = "Analyzer";
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| 79 | private const string InputFileParameterName = "InputFile";
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[17002] | 80 | private const string AlgorithmImplementationTypeParameterName = "AlgorithmImplementationType";
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[17134] | 81 | private const string DistanceTypeParameterName = "DistanceType";
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[16899] | 82 | private const string MapParameterName = "Map";
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[16722] | 83 | public IValueParameter<MultiAnalyzer> AnalyzerParameter {
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| 84 | get { return (ValueParameter<MultiAnalyzer>)Parameters[AnalyzerParameterName]; }
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| 85 | }
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| 86 | public IFixedValueParameter<IntValue> SeedParameter {
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| 87 | get { return (IFixedValueParameter<IntValue>)Parameters[SeedParameterName]; }
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| 88 | }
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[16899] | 89 | public IConstrainedValueParameter<StringValue> AlgorithmImplementationTypeParameter {
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| 90 | get { return (IConstrainedValueParameter<StringValue>)Parameters[AlgorithmImplementationTypeParameterName]; }
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[16760] | 91 | }
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[17134] | 92 | public IConstrainedValueParameter<StringValue> DistanceTypeParameter {
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| 93 | get { return (IConstrainedValueParameter<StringValue>)Parameters[DistanceTypeParameterName]; }
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| 94 | }
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[16899] | 95 | public IConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>> MapParameter {
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| 96 | get { return (IConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>>)Parameters[MapParameterName]; }
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| 97 | }
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[17134] | 98 |
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[16722] | 99 | public IFixedValueParameter<StringValue> InputFileParameter {
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| 100 | get { return (IFixedValueParameter<StringValue>)Parameters[InputFileParameterName]; }
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| 101 | }
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| 102 | public IFixedValueParameter<BoolValue> SetSeedRandomlyParameter {
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| 103 | get { return (IFixedValueParameter<BoolValue>)Parameters[SetSeedRandomlyParameterName]; }
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| 104 | }
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| 105 | private IValueParameter<IntValue> PopulationSizeParameter {
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| 106 | get { return (IValueParameter<IntValue>)Parameters[PopulationSizeParameterName]; }
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| 107 | }
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| 108 | public IValueParameter<PercentValue> CrossoverProbabilityParameter {
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| 109 | get { return (IValueParameter<PercentValue>)Parameters[CrossoverProbabilityParameterName]; }
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| 110 | }
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| 111 | public IValueParameter<IntValue> GroupSizeParameter {
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| 112 | get { return (IValueParameter<IntValue>)Parameters[GroupSizeParameterName]; }
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| 113 | }
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| 114 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
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| 115 | get { return (IConstrainedValueParameter<ICrossover>)Parameters[CrossoverParameterName]; }
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| 116 | }
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| 117 | public IConstrainedValueParameter<ISelector> SelectorParameter {
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| 118 | get { return (IConstrainedValueParameter<ISelector>)Parameters[SelectorParameterName]; }
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| 119 | }
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| 120 | public IValueParameter<PercentValue> MutationProbabilityParameter {
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| 121 | get { return (IValueParameter<PercentValue>)Parameters[MutationProbabilityParameterName]; }
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| 122 | }
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| 123 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
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| 124 | get { return (IConstrainedValueParameter<IManipulator>)Parameters[MutatorParameterName]; }
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| 125 | }
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| 126 | public IValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
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| 127 | get { return (IValueParameter<IntValue>)Parameters[MaximumEvaluatedSolutionsParameterName]; }
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| 128 | }
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| 129 | public IValueParameter<IRandom> RandomParameter {
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| 130 | get { return (IValueParameter<IRandom>)Parameters[RandomParameterName]; }
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| 131 | }
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| 132 | #endregion
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| 133 |
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| 134 | #region parameter properties
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| 135 | public ValueParameter<IntValue> ElitesParameter {
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| 136 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
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| 137 | }
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| 138 | public int Seed {
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| 139 | get { return SeedParameter.Value.Value; }
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| 140 | set { SeedParameter.Value.Value = value; }
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| 141 | }
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[16760] | 142 | public StringValue AlgorithmImplemetationType {
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| 143 | get { return AlgorithmImplementationTypeParameter.Value; }
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| 144 | set { AlgorithmImplementationTypeParameter.Value.Value = value.Value; }
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| 145 | }
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[17134] | 146 | public StringValue DistanceType {
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| 147 | get { return DistanceTypeParameter.Value; }
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| 148 | set { DistanceTypeParameter.Value.Value = value.Value; }
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| 149 | }
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[16899] | 150 | public EMMMapBase<ISymbolicExpressionTree> Map {
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| 151 | get { return MapParameter.Value; }
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| 152 | set { MapParameter.Value = value; }
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[16760] | 153 | }
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[16722] | 154 | public StringValue InputFile {
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| 155 | get { return InputFileParameter.Value; }
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| 156 | set { InputFileParameter.Value.Value = value.Value; }
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| 157 | }
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| 158 | public bool SetSeedRandomly {
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| 159 | get { return SetSeedRandomlyParameter.Value.Value; }
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| 160 | set { SetSeedRandomlyParameter.Value.Value = value; }
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| 161 | }
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| 162 | public IntValue PopulationSize {
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| 163 | get { return PopulationSizeParameter.Value; }
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| 164 | set { PopulationSizeParameter.Value = value; }
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| 165 | }
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| 166 | public PercentValue CrossoverProbability {
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| 167 | get { return CrossoverProbabilityParameter.Value; }
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| 168 | set { CrossoverProbabilityParameter.Value = value; }
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| 169 | }
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| 170 | public IntValue GroupSize {
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| 171 | get { return GroupSizeParameter.Value; }
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| 172 | set { GroupSizeParameter.Value = value; }
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| 173 | }
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| 174 | public ICrossover Crossover {
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| 175 | get { return CrossoverParameter.Value; }
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| 176 | set { CrossoverParameter.Value = value; }
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| 177 | }
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| 178 | public ISelector Selector {
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| 179 | get { return SelectorParameter.Value; }
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| 180 | set { SelectorParameter.Value = value; }
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| 181 | }
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| 182 | public PercentValue MutationProbability {
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| 183 | get { return MutationProbabilityParameter.Value; }
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| 184 | set { MutationProbabilityParameter.Value = value; }
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| 185 | }
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| 186 | public IManipulator Mutator {
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| 187 | get { return MutatorParameter.Value; }
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| 188 | set { MutatorParameter.Value = value; }
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| 189 | }
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| 190 | public MultiAnalyzer Analyzer {
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| 191 | get { return AnalyzerParameter.Value; }
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| 192 | set { AnalyzerParameter.Value = value; }
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| 193 | }
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| 194 | public IntValue MaximumEvaluatedSolutions {
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| 195 | get { return MaximumEvaluatedSolutionsParameter.Value; }
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| 196 | set { MaximumEvaluatedSolutionsParameter.Value = value; }
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| 197 | }
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| 198 | public IntValue Elites {
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| 199 | get { return ElitesParameter.Value; }
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| 200 | }
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| 201 | #endregion
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| 202 |
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| 203 | #region constructors
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| 204 | public EvolvmentModelsOfModelsAlgorithmBase() {
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| 205 |
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| 206 | Parameters.Add(new FixedValueParameter<IntValue>(SeedParameterName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
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[16760] | 207 | Parameters.Add(new FixedValueParameter<StringValue>(InputFileParameterName, "The file with set of models that will be.", new StringValue("input.txt")));
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[17134] | 208 | Parameters.Add(new ConstrainedValueParameter<StringValue>(AlgorithmImplementationTypeParameterName, "The Type of possible algorithm, implementation, choose one: OnlyMap, Full, Read."));
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| 209 | Parameters.Add(new ConstrainedValueParameter<StringValue>(DistanceTypeParameterName, "The Type of possible distance calculator for case of only distance calculation."));
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| 210 | Parameters.Add(new ConstrainedValueParameter<EMMMapBase<ISymbolicExpressionTree>>(MapParameterName, "The type of map creation algorithm. Use one from: IslandMap, NetworkMap."));
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[16722] | 211 | Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyParameterName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
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[16760] | 212 | Parameters.Add(new ValueParameter<IntValue>(PopulationSizeParameterName, "The size of the population of Solutions.", new IntValue(100)));
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[17134] | 213 | Parameters.Add(new ConstrainedValueParameter<ISelector>(SelectorParameterName, "The operator used to select parents."));
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[16722] | 214 | Parameters.Add(new ValueParameter<PercentValue>(CrossoverProbabilityParameterName, "The probability that the crossover operator is applied.", new PercentValue(0.9)));
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| 215 | Parameters.Add(new ValueParameter<IntValue>(GroupSizeParameterName, "The GoupSize that the Selector operator is applied.", new IntValue(3)));
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[16760] | 216 | Parameters.Add(new ConstrainedValueParameter<ICrossover>(CrossoverParameterName, "The operator used to cross Solutions."));
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[16722] | 217 | Parameters.Add(new ValueParameter<PercentValue>(MutationProbabilityParameterName, "The probability that the mutation operator is applied on a solution.", new PercentValue(0.25)));
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[16760] | 218 | Parameters.Add(new ConstrainedValueParameter<IManipulator>(MutatorParameterName, "The operator used to mutate Solutions."));
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[16722] | 219 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
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[16760] | 220 | Parameters.Add(new ValueParameter<IntValue>(MaximumEvaluatedSolutionsParameterName, "The maximum number of evaluated Solutions (approximately).", new IntValue(100_000)));
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[16722] | 221 | Parameters.Add(new ValueParameter<IRandom>(RandomParameterName, new MersenneTwister()));
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[17134] | 222 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The number of elite Solutions which are kept in each generation.", new IntValue(1)));
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[16722] | 223 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
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| 224 | SelectorParameter.ValidValues.Add(selector);
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| 225 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
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| 226 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
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| 227 | ParameterizeSelectors();
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| 228 |
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[17002] | 229 | //begin hack ...
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| 230 | InputFile.ValueChanged += InputFile_ValueChanged;
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| 231 | InfixExpressionParser parser = new InfixExpressionParser();
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| 232 | trees = File.ReadAllLines(InputFileParameter.Value.Value).Select(parser.Parse).ToArray();
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| 233 | // end hack
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| 234 |
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[16722] | 235 | ProblemChanged += EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged;
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[16899] | 236 | MapParameterUpdate();
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[17002] | 237 |
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[16722] | 238 | }
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| 239 |
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[17002] | 240 | // also hack vvvvvvvvv
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| 241 | private void InputFile_ValueChanged(object sender, EventArgs e) {
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| 242 | InfixExpressionParser parser = new InfixExpressionParser();
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| 243 | trees = File.ReadAllLines(InputFileParameter.Value.Value).Select(parser.Parse);
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| 244 | }
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| 245 | // remove again ^^^^^^^^^
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| 246 |
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[16722] | 247 | private void EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged(object sender, EventArgs e) {
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| 248 | if (Problem != null) {
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| 249 | Problem.SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeBatchInterpreter();
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| 250 | }
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| 251 | }
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[16899] | 252 | protected void MapParameterUpdate() {
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| 253 | var mapTypes = new EMMMapBase<ISymbolicExpressionTree>[]
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| 254 | {
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| 255 | new EMMIslandMap(),
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[17134] | 256 | new EMMNetworkMap(),
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[17002] | 257 | new EMMDisatanceMap(),
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| 258 | new EMMRankMap(),
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| 259 | new EMMSucsessMap (),
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| 260 | new EMMZeroMap ()
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[16899] | 261 | };
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| 262 | foreach (var t in mapTypes) {
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| 263 | MapParameter.ValidValues.Add(t);
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| 264 | }
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| 265 | var algorithmType = new StringValue[]
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| 266 | {
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| 267 | new StringValue("Full"),
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| 268 | new StringValue("Read"),
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| 269 | };
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| 270 | foreach (var t in algorithmType) {
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| 271 | AlgorithmImplementationTypeParameter.ValidValues.Add(t);
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| 272 | }
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[17134] | 273 | var distanceType = new StringValue[]
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| 274 | {
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| 275 | new StringValue("MSE"),
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| 276 | new StringValue("PearsonsRSquared"),
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| 277 | new StringValue ("Covariance"),
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| 278 | new StringValue ("MaxAbsoluteError"),
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| 279 | new StringValue ("MeanAbsoluteError"),
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| 280 | new StringValue ("Symbolic")
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| 281 | };
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| 282 | foreach (var t in distanceType) {
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| 283 | DistanceTypeParameter.ValidValues.Add(t);
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| 284 | }
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[16899] | 285 | }
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| 286 |
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[16722] | 287 | protected EvolvmentModelsOfModelsAlgorithmBase(EvolvmentModelsOfModelsAlgorithmBase original, Cloner cloner) : base(original, cloner) {
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[16760] | 288 | EvaluatedSolutions = original.EvaluatedSolutions;
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[16722] | 289 | previousExecutionState = original.previousExecutionState;
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| 290 |
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[16760] | 291 | if (original.Solutions != null) {
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| 292 | Solutions = original.Solutions.Select(cloner.Clone).ToArray();
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[16722] | 293 | }
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| 294 |
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[16760] | 295 | if (original.Population != null) {
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| 296 | Population = original.Population.Select(cloner.Clone).ToList();
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[16722] | 297 | }
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| 298 |
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| 299 | if (original.executionContext != null) {
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| 300 | executionContext = cloner.Clone(original.executionContext);
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| 301 | }
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| 302 |
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| 303 | if (original.globalScope != null) {
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| 304 | globalScope = cloner.Clone(original.globalScope);
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| 305 | }
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[17134] | 306 | // hack
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| 307 | if (original.trees != null) {
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| 308 | trees = original.trees.Select(x => cloner.Clone(x)).ToArray();
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| 309 | }
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[16722] | 310 | }
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| 311 |
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| 312 | [StorableConstructor]
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| 313 | protected EvolvmentModelsOfModelsAlgorithmBase(StorableConstructorFlag _) : base(_) { }
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| 314 | #endregion
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| 315 |
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| 316 |
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| 317 | public override void Prepare() {
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| 318 | base.Prepare();
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| 319 | }
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| 320 |
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| 321 | protected override void Initialize(CancellationToken cancellationToken) {
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| 322 | base.Initialize(cancellationToken);
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| 323 | }
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| 324 |
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| 325 | public override bool SupportsPause => true;
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| 326 |
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| 327 | // implements random number generation from https://en.wikipedia.org/wiki/Dirichlet_distribution#Random_number_generation
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| 328 |
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| 329 | public IList<IEMMSolution> GetResult(IRandom random) {
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[16760] | 330 | return Population;
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[16722] | 331 | }
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| 332 |
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| 333 | #region operator wiring and events
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| 334 | private void ParameterizeStochasticOperator(IOperator op) {
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| 335 | IStochasticOperator stochasticOp = op as IStochasticOperator;
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| 336 | if (stochasticOp != null) {
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| 337 | stochasticOp.RandomParameter.ActualName = "Random";
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| 338 | stochasticOp.RandomParameter.Hidden = true;
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| 339 | }
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| 340 | }
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| 341 | private void ParameterizeSelectors() {
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| 342 | foreach (ISelector selector in SelectorParameter.ValidValues) {
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| 343 | selector.CopySelected = new BoolValue(true);
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| 344 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
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| 345 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
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| 346 | ParameterizeStochasticOperator(selector);
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| 347 | }
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| 348 | if (Problem != null) {
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| 349 | foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
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| 350 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
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| 351 | selector.MaximizationParameter.Hidden = true;
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| 352 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
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| 353 | selector.QualityParameter.Hidden = true;
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| 354 | }
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| 355 | }
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| 356 | }
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| 357 | protected void ExecuteOperation(ExecutionContext executionContext, CancellationToken cancellationToken, IOperation operation) {
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| 358 | Stack<IOperation> executionStack = new Stack<IOperation>();
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| 359 | executionStack.Push(operation);
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| 360 | while (executionStack.Count > 0) {
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| 361 | cancellationToken.ThrowIfCancellationRequested();
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| 362 | IOperation next = executionStack.Pop();
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| 363 | if (next is OperationCollection) {
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| 364 | OperationCollection coll = (OperationCollection)next;
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| 365 | for (int i = coll.Count - 1; i >= 0; i--)
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| 366 | if (coll[i] != null) executionStack.Push(coll[i]);
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| 367 | } else if (next is IAtomicOperation) {
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| 368 | IAtomicOperation op = (IAtomicOperation)next;
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| 369 | next = op.Operator.Execute((IExecutionContext)op, cancellationToken);
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| 370 | if (next != null) executionStack.Push(next);
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| 371 | }
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| 372 | }
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| 373 | }
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| 374 |
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| 375 | private void UpdateAnalyzers() {
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| 376 | Analyzer.Operators.Clear();
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| 377 | if (Problem != null) {
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| 378 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
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| 379 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
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| 380 | param.Depth = 1;
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| 381 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
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| 382 | }
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| 383 | }
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| 384 | }
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| 385 |
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| 386 | private void UpdateCrossovers() {
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| 387 | ICrossover oldCrossover = CrossoverParameter.Value;
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| 388 | CrossoverParameter.ValidValues.Clear();
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| 389 | ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
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| 390 |
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| 391 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
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| 392 | CrossoverParameter.ValidValues.Add(crossover);
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| 393 |
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| 394 | if (oldCrossover != null) {
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| 395 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
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| 396 | if (crossover != null) CrossoverParameter.Value = crossover;
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| 397 | else oldCrossover = null;
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| 398 | }
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| 399 | if (oldCrossover == null && defaultCrossover != null)
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| 400 | CrossoverParameter.Value = defaultCrossover;
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| 401 | }
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| 402 |
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| 403 | private void UpdateMutators() {
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| 404 | IManipulator oldMutator = MutatorParameter.Value;
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| 405 | MutatorParameter.ValidValues.Clear();
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| 406 | IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
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| 407 |
|
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| 408 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
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| 409 | MutatorParameter.ValidValues.Add(mutator);
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| 410 |
|
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| 411 | if (oldMutator != null) {
|
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| 412 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
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| 413 | if (mutator != null) MutatorParameter.Value = mutator;
|
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| 414 | else oldMutator = null;
|
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| 415 | }
|
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| 416 |
|
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| 417 | if (oldMutator == null && defaultMutator != null)
|
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| 418 | MutatorParameter.Value = defaultMutator;
|
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| 419 | }
|
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| 420 | private void UpdateSelectors() {
|
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| 421 | ISelector oldSelector = SelectorParameter.Value;
|
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| 422 | SelectorParameter.ValidValues.Clear();
|
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| 423 | ISelector defaultSelector = Problem.Operators.OfType<ISelector>().FirstOrDefault();
|
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| 424 |
|
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| 425 | foreach (ISelector selector in Problem.Operators.OfType<ISelector>().OrderBy(x => x.Name))
|
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| 426 | SelectorParameter.ValidValues.Add(selector);
|
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| 427 |
|
---|
| 428 | if (oldSelector != null) {
|
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| 429 | ISelector selector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
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| 430 | if (selector != null) SelectorParameter.Value = selector;
|
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| 431 | else oldSelector = null;
|
---|
| 432 | }
|
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| 433 |
|
---|
| 434 | if (oldSelector == null && defaultSelector != null)
|
---|
| 435 | SelectorParameter.Value = defaultSelector;
|
---|
| 436 | }
|
---|
| 437 | protected override void OnProblemChanged() {
|
---|
| 438 | UpdateCrossovers();
|
---|
| 439 | UpdateMutators();
|
---|
| 440 | UpdateAnalyzers();
|
---|
| 441 | base.OnProblemChanged();
|
---|
| 442 | }
|
---|
| 443 |
|
---|
| 444 | protected override void OnExecutionStateChanged() {
|
---|
[16899] | 445 | previousExecutionState = currentExecutionState;
|
---|
| 446 | currentExecutionState = ExecutionState;
|
---|
[16722] | 447 | base.OnExecutionStateChanged();
|
---|
| 448 | }
|
---|
| 449 |
|
---|
| 450 | protected override void OnStopped() {
|
---|
[16760] | 451 | if (Solutions != null) {
|
---|
| 452 | Solutions.Clear();
|
---|
[16722] | 453 | }
|
---|
[16760] | 454 | if (Population != null) {
|
---|
| 455 | Population.Clear();
|
---|
[16722] | 456 | }
|
---|
[16760] | 457 | //if (offspringPopulation != null) {
|
---|
| 458 | // offspringPopulation.Clear();
|
---|
| 459 | //}
|
---|
| 460 | //if (jointPopulation != null) {
|
---|
| 461 | // jointPopulation.Clear();
|
---|
| 462 | //}
|
---|
[16722] | 463 | executionContext.Scope.SubScopes.Clear();
|
---|
| 464 | base.OnStopped();
|
---|
| 465 | }
|
---|
| 466 | #endregion
|
---|
| 467 | }
|
---|
| 468 | }
|
---|