| 1 | #region License Information
|
|---|
| 2 | /* HeuristicLab
|
|---|
| 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
|
|---|
| 4 | *
|
|---|
| 5 | * This file is part of HeuristicLab.
|
|---|
| 6 | *
|
|---|
| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
|
|---|
| 8 | * it under the terms of the GNU General Public License as published by
|
|---|
| 9 | * the Free Software Foundation, either version 3 of the License, or
|
|---|
| 10 | * (at your option) any later version.
|
|---|
| 11 | *
|
|---|
| 12 | * HeuristicLab is distributed in the hope that it will be useful,
|
|---|
| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|---|
| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|---|
| 15 | * GNU General Public License for more details.
|
|---|
| 16 | *
|
|---|
| 17 | * You should have received a copy of the GNU General Public License
|
|---|
| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
|
|---|
| 19 | */
|
|---|
| 20 | #endregion
|
|---|
| 21 |
|
|---|
| 22 | using HEAL.Attic;
|
|---|
| 23 | using HeuristicLab.Algorithms.DataAnalysis;
|
|---|
| 24 | using HeuristicLab.Analysis;
|
|---|
| 25 | using HeuristicLab.Common;
|
|---|
| 26 | using HeuristicLab.Core;
|
|---|
| 27 | using HeuristicLab.Data;
|
|---|
| 28 | using HeuristicLab.Optimization;
|
|---|
| 29 | using HeuristicLab.Parameters;
|
|---|
| 30 | using HeuristicLab.PluginInfrastructure;
|
|---|
| 31 | using HeuristicLab.Problems.DataAnalysis;
|
|---|
| 32 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
|
|---|
| 33 | using HeuristicLab.Random;
|
|---|
| 34 | using System;
|
|---|
| 35 | using System.Collections.Generic;
|
|---|
| 36 | using System.Linq;
|
|---|
| 37 | using CancellationToken = System.Threading.CancellationToken;
|
|---|
| 38 | using ExecutionContext = HeuristicLab.Core.ExecutionContext;
|
|---|
| 39 |
|
|---|
| 40 | namespace HeuristicLab.Algorithms.EvolvmentModelsOfModels {
|
|---|
| 41 | [Item("MOEADAlgorithmBase", "Base class for all MOEA/D algorithm variants.")]
|
|---|
| 42 | [StorableType("A56A396B-965A-4ADE-8A2B-AE3A45F9C239")]
|
|---|
| 43 | public abstract class EvolvmentModelsOfModelsAlgorithmBase : FixedDataAnalysisAlgorithm<ISymbolicDataAnalysisSingleObjectiveProblem> {
|
|---|
| 44 | #region data members
|
|---|
| 45 | [Storable]
|
|---|
| 46 | protected IList<IEMMSolution> Solutions;
|
|---|
| 47 | [Storable]
|
|---|
| 48 | protected List<IEMMSolution> Population;
|
|---|
| 49 | [Storable]
|
|---|
| 50 | protected int EvaluatedSolutions;
|
|---|
| 51 | [Storable]
|
|---|
| 52 | protected ExecutionContext executionContext;
|
|---|
| 53 | [Storable]
|
|---|
| 54 | protected IScope globalScope;
|
|---|
| 55 | [Storable]
|
|---|
| 56 | protected ExecutionState previousExecutionState;
|
|---|
| 57 | #endregion
|
|---|
| 58 |
|
|---|
| 59 | #region parameters
|
|---|
| 60 | private const string SeedParameterName = "Seed";
|
|---|
| 61 | private const string SetSeedRandomlyParameterName = "SetSeedRandomly";
|
|---|
| 62 | private const string PopulationSizeParameterName = "PopulationSize";
|
|---|
| 63 | private const string SelectorParameterName = "Selector";
|
|---|
| 64 | private const string GroupSizeParameterName = "GroupSize";
|
|---|
| 65 | private const string CrossoverProbabilityParameterName = "CrossoverProbability";
|
|---|
| 66 | private const string CrossoverParameterName = "Crossover";
|
|---|
| 67 | private const string MutationProbabilityParameterName = "MutationProbability";
|
|---|
| 68 | private const string MutatorParameterName = "Mutator";
|
|---|
| 69 | private const string MaximumEvaluatedSolutionsParameterName = "MaximumEvaluatedSolutions";
|
|---|
| 70 | private const string RandomParameterName = "Random";
|
|---|
| 71 | private const string AnalyzerParameterName = "Analyzer";
|
|---|
| 72 | private const string InputFileParameterName = "InputFile";
|
|---|
| 73 | private const string ClusterNumbersParameterName = "ClusterNumbers";
|
|---|
| 74 | private const string AlgorithmImplementationTypeParameterName = "AlgorithmImplemetationType";
|
|---|
| 75 | private const string MapCreationTypeParameterName = "MapCreationType";
|
|---|
| 76 | private const string NegbourTypeParameterName = "NegbourType";
|
|---|
| 77 | private const string NegbourNumberParameterName = "NegbourNumber";
|
|---|
| 78 | public IValueParameter<MultiAnalyzer> AnalyzerParameter {
|
|---|
| 79 | get { return (ValueParameter<MultiAnalyzer>)Parameters[AnalyzerParameterName]; }
|
|---|
| 80 | }
|
|---|
| 81 | public IFixedValueParameter<IntValue> SeedParameter {
|
|---|
| 82 | get { return (IFixedValueParameter<IntValue>)Parameters[SeedParameterName]; }
|
|---|
| 83 | }
|
|---|
| 84 | public IValueParameter<IntValue> ClusterNumbersParameter {
|
|---|
| 85 | get { return (IValueParameter<IntValue>)Parameters[ClusterNumbersParameterName]; }
|
|---|
| 86 | }
|
|---|
| 87 | public IFixedValueParameter<StringValue> AlgorithmImplementationTypeParameter {
|
|---|
| 88 | get { return (IFixedValueParameter<StringValue>)Parameters[AlgorithmImplementationTypeParameterName]; }
|
|---|
| 89 | }
|
|---|
| 90 | public IFixedValueParameter<StringValue> MapCreationTypeParameter {
|
|---|
| 91 | get { return (IFixedValueParameter<StringValue>)Parameters[MapCreationTypeParameterName]; }
|
|---|
| 92 | }
|
|---|
| 93 | public IFixedValueParameter<StringValue> NegbourTypeParameter {
|
|---|
| 94 | get { return (IFixedValueParameter<StringValue>)Parameters[NegbourTypeParameterName]; }
|
|---|
| 95 | }
|
|---|
| 96 | public IFixedValueParameter<IntValue> NegbourNumberParameter {
|
|---|
| 97 | get { return (IFixedValueParameter<IntValue>)Parameters[NegbourNumberParameterName]; }
|
|---|
| 98 | }
|
|---|
| 99 | public IFixedValueParameter<StringValue> InputFileParameter {
|
|---|
| 100 | get { return (IFixedValueParameter<StringValue>)Parameters[InputFileParameterName]; }
|
|---|
| 101 | }
|
|---|
| 102 | public IFixedValueParameter<BoolValue> SetSeedRandomlyParameter {
|
|---|
| 103 | get { return (IFixedValueParameter<BoolValue>)Parameters[SetSeedRandomlyParameterName]; }
|
|---|
| 104 | }
|
|---|
| 105 | private IValueParameter<IntValue> PopulationSizeParameter {
|
|---|
| 106 | get { return (IValueParameter<IntValue>)Parameters[PopulationSizeParameterName]; }
|
|---|
| 107 | }
|
|---|
| 108 | public IValueParameter<PercentValue> CrossoverProbabilityParameter {
|
|---|
| 109 | get { return (IValueParameter<PercentValue>)Parameters[CrossoverProbabilityParameterName]; }
|
|---|
| 110 | }
|
|---|
| 111 | public IValueParameter<IntValue> GroupSizeParameter {
|
|---|
| 112 | get { return (IValueParameter<IntValue>)Parameters[GroupSizeParameterName]; }
|
|---|
| 113 | }
|
|---|
| 114 | public IConstrainedValueParameter<ICrossover> CrossoverParameter {
|
|---|
| 115 | get { return (IConstrainedValueParameter<ICrossover>)Parameters[CrossoverParameterName]; }
|
|---|
| 116 | }
|
|---|
| 117 | public IConstrainedValueParameter<ISelector> SelectorParameter {
|
|---|
| 118 | get { return (IConstrainedValueParameter<ISelector>)Parameters[SelectorParameterName]; }
|
|---|
| 119 | }
|
|---|
| 120 | public IValueParameter<PercentValue> MutationProbabilityParameter {
|
|---|
| 121 | get { return (IValueParameter<PercentValue>)Parameters[MutationProbabilityParameterName]; }
|
|---|
| 122 | }
|
|---|
| 123 | public IConstrainedValueParameter<IManipulator> MutatorParameter {
|
|---|
| 124 | get { return (IConstrainedValueParameter<IManipulator>)Parameters[MutatorParameterName]; }
|
|---|
| 125 | }
|
|---|
| 126 | public IValueParameter<IntValue> MaximumEvaluatedSolutionsParameter {
|
|---|
| 127 | get { return (IValueParameter<IntValue>)Parameters[MaximumEvaluatedSolutionsParameterName]; }
|
|---|
| 128 | }
|
|---|
| 129 | public IValueParameter<IRandom> RandomParameter {
|
|---|
| 130 | get { return (IValueParameter<IRandom>)Parameters[RandomParameterName]; }
|
|---|
| 131 | }
|
|---|
| 132 | #endregion
|
|---|
| 133 |
|
|---|
| 134 | #region parameter properties
|
|---|
| 135 | public ValueParameter<IntValue> ElitesParameter {
|
|---|
| 136 | get { return (ValueParameter<IntValue>)Parameters["Elites"]; }
|
|---|
| 137 | }
|
|---|
| 138 | public int Seed {
|
|---|
| 139 | get { return SeedParameter.Value.Value; }
|
|---|
| 140 | set { SeedParameter.Value.Value = value; }
|
|---|
| 141 | }
|
|---|
| 142 | public IntValue ClusterNumbers {
|
|---|
| 143 | get { return ClusterNumbersParameter.Value; }
|
|---|
| 144 | set { ClusterNumbersParameter.Value = value; }
|
|---|
| 145 | }
|
|---|
| 146 | public StringValue AlgorithmImplemetationType {
|
|---|
| 147 | get { return AlgorithmImplementationTypeParameter.Value; }
|
|---|
| 148 | set { AlgorithmImplementationTypeParameter.Value.Value = value.Value; }
|
|---|
| 149 | }
|
|---|
| 150 | public StringValue MapCreationType {
|
|---|
| 151 | get { return MapCreationTypeParameter.Value; }
|
|---|
| 152 | set { MapCreationTypeParameter.Value.Value = value.Value; }
|
|---|
| 153 | }
|
|---|
| 154 | public StringValue NegbourType {
|
|---|
| 155 | get { return NegbourTypeParameter.Value; }
|
|---|
| 156 | set { NegbourTypeParameter.Value.Value = value.Value; }
|
|---|
| 157 | }
|
|---|
| 158 | public IntValue NegbourNumber {
|
|---|
| 159 | get { return NegbourNumberParameter.Value; }
|
|---|
| 160 | set { NegbourNumberParameter.Value.Value = value.Value; }
|
|---|
| 161 | }
|
|---|
| 162 | public StringValue InputFile {
|
|---|
| 163 | get { return InputFileParameter.Value; }
|
|---|
| 164 | set { InputFileParameter.Value.Value = value.Value; }
|
|---|
| 165 | }
|
|---|
| 166 | public bool SetSeedRandomly {
|
|---|
| 167 | get { return SetSeedRandomlyParameter.Value.Value; }
|
|---|
| 168 | set { SetSeedRandomlyParameter.Value.Value = value; }
|
|---|
| 169 | }
|
|---|
| 170 | public IntValue PopulationSize {
|
|---|
| 171 | get { return PopulationSizeParameter.Value; }
|
|---|
| 172 | set { PopulationSizeParameter.Value = value; }
|
|---|
| 173 | }
|
|---|
| 174 | public PercentValue CrossoverProbability {
|
|---|
| 175 | get { return CrossoverProbabilityParameter.Value; }
|
|---|
| 176 | set { CrossoverProbabilityParameter.Value = value; }
|
|---|
| 177 | }
|
|---|
| 178 | public IntValue GroupSize {
|
|---|
| 179 | get { return GroupSizeParameter.Value; }
|
|---|
| 180 | set { GroupSizeParameter.Value = value; }
|
|---|
| 181 | }
|
|---|
| 182 | public ICrossover Crossover {
|
|---|
| 183 | get { return CrossoverParameter.Value; }
|
|---|
| 184 | set { CrossoverParameter.Value = value; }
|
|---|
| 185 | }
|
|---|
| 186 | public ISelector Selector {
|
|---|
| 187 | get { return SelectorParameter.Value; }
|
|---|
| 188 | set { SelectorParameter.Value = value; }
|
|---|
| 189 | }
|
|---|
| 190 | public PercentValue MutationProbability {
|
|---|
| 191 | get { return MutationProbabilityParameter.Value; }
|
|---|
| 192 | set { MutationProbabilityParameter.Value = value; }
|
|---|
| 193 | }
|
|---|
| 194 | public IManipulator Mutator {
|
|---|
| 195 | get { return MutatorParameter.Value; }
|
|---|
| 196 | set { MutatorParameter.Value = value; }
|
|---|
| 197 | }
|
|---|
| 198 | public MultiAnalyzer Analyzer {
|
|---|
| 199 | get { return AnalyzerParameter.Value; }
|
|---|
| 200 | set { AnalyzerParameter.Value = value; }
|
|---|
| 201 | }
|
|---|
| 202 | public IntValue MaximumEvaluatedSolutions {
|
|---|
| 203 | get { return MaximumEvaluatedSolutionsParameter.Value; }
|
|---|
| 204 | set { MaximumEvaluatedSolutionsParameter.Value = value; }
|
|---|
| 205 | }
|
|---|
| 206 | public IntValue Elites {
|
|---|
| 207 | get { return ElitesParameter.Value; }
|
|---|
| 208 | }
|
|---|
| 209 | #endregion
|
|---|
| 210 |
|
|---|
| 211 | #region constructors
|
|---|
| 212 | public EvolvmentModelsOfModelsAlgorithmBase() {
|
|---|
| 213 |
|
|---|
| 214 | Parameters.Add(new FixedValueParameter<IntValue>(SeedParameterName, "The random seed used to initialize the new pseudo random number generator.", new IntValue(0)));
|
|---|
| 215 | Parameters.Add(new FixedValueParameter<StringValue>(InputFileParameterName, "The file with set of models that will be.", new StringValue("input.txt")));
|
|---|
| 216 | Parameters.Add(new FixedValueParameter<StringValue>(AlgorithmImplementationTypeParameterName, "The Type of possible algorith, implemetation, choose one: OnlyMapCreation, CreateMapAndGo, ReadMapAndGo.", new StringValue("CreateMapAndGo")));
|
|---|
| 217 | Parameters.Add(new FixedValueParameter<StringValue>(MapCreationTypeParameterName, "The type of map crearion algorithm. Use one from: IslandMap, FullMap.", new StringValue("IslandMap")));
|
|---|
| 218 | Parameters.Add(new FixedValueParameter<IntValue>(NegbourNumberParameterName, "The parametr for FullMap type of map crearion algorithm. Use one from: 10, 20.", new IntValue(10)));
|
|---|
| 219 | Parameters.Add(new FixedValueParameter<StringValue>(NegbourTypeParameterName, "The parametr for FullMap type of map crearion algorithm. Use one from: Percent, Number.", new StringValue("Number")));
|
|---|
| 220 | Parameters.Add(new FixedValueParameter<BoolValue>(SetSeedRandomlyParameterName, "True if the random seed should be set to a random value, otherwise false.", new BoolValue(true)));
|
|---|
| 221 | Parameters.Add(new ValueParameter<IntValue>(PopulationSizeParameterName, "The size of the population of Solutions.", new IntValue(100)));
|
|---|
| 222 | Parameters.Add(new ConstrainedValueParameter<ISelector>(SelectorParameterName, "The operator used to sellect parents."));
|
|---|
| 223 | Parameters.Add(new ValueParameter<PercentValue>(CrossoverProbabilityParameterName, "The probability that the crossover operator is applied.", new PercentValue(0.9)));
|
|---|
| 224 | Parameters.Add(new ValueParameter<IntValue>(GroupSizeParameterName, "The GoupSize that the Selector operator is applied.", new IntValue(3)));
|
|---|
| 225 | Parameters.Add(new ConstrainedValueParameter<ICrossover>(CrossoverParameterName, "The operator used to cross Solutions."));
|
|---|
| 226 | Parameters.Add(new ValueParameter<PercentValue>(MutationProbabilityParameterName, "The probability that the mutation operator is applied on a solution.", new PercentValue(0.25)));
|
|---|
| 227 | Parameters.Add(new ConstrainedValueParameter<IManipulator>(MutatorParameterName, "The operator used to mutate Solutions."));
|
|---|
| 228 | Parameters.Add(new ValueParameter<MultiAnalyzer>("Analyzer", "The operator used to analyze each generation.", new MultiAnalyzer()));
|
|---|
| 229 | Parameters.Add(new ValueParameter<IntValue>(MaximumEvaluatedSolutionsParameterName, "The maximum number of evaluated Solutions (approximately).", new IntValue(100_000)));
|
|---|
| 230 | Parameters.Add(new ValueParameter<IRandom>(RandomParameterName, new MersenneTwister()));
|
|---|
| 231 | Parameters.Add(new ValueParameter<IntValue>("Elites", "The numer of elite Solutions which are kept in each generation.", new IntValue(1)));
|
|---|
| 232 | Parameters.Add(new ValueParameter<IntValue>(ClusterNumbersParameterName, "The number of clusters for model Map.", new IntValue(100)));
|
|---|
| 233 | foreach (ISelector selector in ApplicationManager.Manager.GetInstances<ISelector>().Where(x => !(x is IMultiObjectiveSelector)).OrderBy(x => x.Name))
|
|---|
| 234 | SelectorParameter.ValidValues.Add(selector);
|
|---|
| 235 | ISelector proportionalSelector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType().Name.Equals("ProportionalSelector"));
|
|---|
| 236 | if (proportionalSelector != null) SelectorParameter.Value = proportionalSelector;
|
|---|
| 237 | ParameterizeSelectors();
|
|---|
| 238 |
|
|---|
| 239 | ProblemChanged += EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged;
|
|---|
| 240 |
|
|---|
| 241 | }
|
|---|
| 242 |
|
|---|
| 243 | private void EvolvmentModelsOfModelsAlgorithmBase_ProblemChanged(object sender, EventArgs e) {
|
|---|
| 244 | if (Problem != null) {
|
|---|
| 245 | Problem.SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeBatchInterpreter();
|
|---|
| 246 | //Problem.SymbolicExpressionTreeGrammar = new EMMGrammar();
|
|---|
| 247 | }
|
|---|
| 248 | }
|
|---|
| 249 |
|
|---|
| 250 | protected EvolvmentModelsOfModelsAlgorithmBase(EvolvmentModelsOfModelsAlgorithmBase original, Cloner cloner) : base(original, cloner) {
|
|---|
| 251 | EvaluatedSolutions = original.EvaluatedSolutions;
|
|---|
| 252 | previousExecutionState = original.previousExecutionState;
|
|---|
| 253 |
|
|---|
| 254 | if (original.Solutions != null) {
|
|---|
| 255 | Solutions = original.Solutions.Select(cloner.Clone).ToArray();
|
|---|
| 256 | }
|
|---|
| 257 |
|
|---|
| 258 | if (original.Population != null) {
|
|---|
| 259 | Population = original.Population.Select(cloner.Clone).ToList();
|
|---|
| 260 | }
|
|---|
| 261 |
|
|---|
| 262 | //if (original.offspringPopulation != null) {
|
|---|
| 263 | // offspringPopulation = original.offspringPopulation.Select(cloner.Clone).ToList();
|
|---|
| 264 | //}
|
|---|
| 265 |
|
|---|
| 266 | //if (original.jointPopulation != null) {
|
|---|
| 267 | // jointPopulation = original.jointPopulation.Select(x => cloner.Clone(x)).ToList();
|
|---|
| 268 | //}
|
|---|
| 269 |
|
|---|
| 270 | if (original.executionContext != null) {
|
|---|
| 271 | executionContext = cloner.Clone(original.executionContext);
|
|---|
| 272 | }
|
|---|
| 273 |
|
|---|
| 274 | if (original.globalScope != null) {
|
|---|
| 275 | globalScope = cloner.Clone(original.globalScope);
|
|---|
| 276 | }
|
|---|
| 277 | }
|
|---|
| 278 |
|
|---|
| 279 | [StorableConstructor]
|
|---|
| 280 | protected EvolvmentModelsOfModelsAlgorithmBase(StorableConstructorFlag _) : base(_) { }
|
|---|
| 281 | #endregion
|
|---|
| 282 |
|
|---|
| 283 |
|
|---|
| 284 | public override void Prepare() {
|
|---|
| 285 | base.Prepare();
|
|---|
| 286 | }
|
|---|
| 287 |
|
|---|
| 288 | protected override void Initialize(CancellationToken cancellationToken) {
|
|---|
| 289 | base.Initialize(cancellationToken);
|
|---|
| 290 | }
|
|---|
| 291 |
|
|---|
| 292 | public override bool SupportsPause => true;
|
|---|
| 293 |
|
|---|
| 294 | // implements random number generation from https://en.wikipedia.org/wiki/Dirichlet_distribution#Random_number_generation
|
|---|
| 295 |
|
|---|
| 296 | public IList<IEMMSolution> GetResult(IRandom random) {
|
|---|
| 297 | return Population;
|
|---|
| 298 | }
|
|---|
| 299 |
|
|---|
| 300 | #region operator wiring and events
|
|---|
| 301 | private void ParameterizeStochasticOperator(IOperator op) {
|
|---|
| 302 | IStochasticOperator stochasticOp = op as IStochasticOperator;
|
|---|
| 303 | if (stochasticOp != null) {
|
|---|
| 304 | stochasticOp.RandomParameter.ActualName = "Random";
|
|---|
| 305 | stochasticOp.RandomParameter.Hidden = true;
|
|---|
| 306 | }
|
|---|
| 307 | }
|
|---|
| 308 | private void ParameterizeSelectors() {
|
|---|
| 309 | foreach (ISelector selector in SelectorParameter.ValidValues) {
|
|---|
| 310 | selector.CopySelected = new BoolValue(true);
|
|---|
| 311 | selector.NumberOfSelectedSubScopesParameter.Value = new IntValue(2 * (PopulationSizeParameter.Value.Value - ElitesParameter.Value.Value));
|
|---|
| 312 | selector.NumberOfSelectedSubScopesParameter.Hidden = true;
|
|---|
| 313 | ParameterizeStochasticOperator(selector);
|
|---|
| 314 | }
|
|---|
| 315 | if (Problem != null) {
|
|---|
| 316 | foreach (ISingleObjectiveSelector selector in SelectorParameter.ValidValues.OfType<ISingleObjectiveSelector>()) {
|
|---|
| 317 | selector.MaximizationParameter.ActualName = Problem.MaximizationParameter.Name;
|
|---|
| 318 | selector.MaximizationParameter.Hidden = true;
|
|---|
| 319 | selector.QualityParameter.ActualName = Problem.Evaluator.QualityParameter.ActualName;
|
|---|
| 320 | selector.QualityParameter.Hidden = true;
|
|---|
| 321 | }
|
|---|
| 322 | }
|
|---|
| 323 | }
|
|---|
| 324 | protected void ExecuteOperation(ExecutionContext executionContext, CancellationToken cancellationToken, IOperation operation) {
|
|---|
| 325 | Stack<IOperation> executionStack = new Stack<IOperation>();
|
|---|
| 326 | executionStack.Push(operation);
|
|---|
| 327 | while (executionStack.Count > 0) {
|
|---|
| 328 | cancellationToken.ThrowIfCancellationRequested();
|
|---|
| 329 | IOperation next = executionStack.Pop();
|
|---|
| 330 | if (next is OperationCollection) {
|
|---|
| 331 | OperationCollection coll = (OperationCollection)next;
|
|---|
| 332 | for (int i = coll.Count - 1; i >= 0; i--)
|
|---|
| 333 | if (coll[i] != null) executionStack.Push(coll[i]);
|
|---|
| 334 | } else if (next is IAtomicOperation) {
|
|---|
| 335 | IAtomicOperation op = (IAtomicOperation)next;
|
|---|
| 336 | next = op.Operator.Execute((IExecutionContext)op, cancellationToken);
|
|---|
| 337 | if (next != null) executionStack.Push(next);
|
|---|
| 338 | }
|
|---|
| 339 | }
|
|---|
| 340 | }
|
|---|
| 341 |
|
|---|
| 342 | private void UpdateAnalyzers() {
|
|---|
| 343 | Analyzer.Operators.Clear();
|
|---|
| 344 | if (Problem != null) {
|
|---|
| 345 | foreach (IAnalyzer analyzer in Problem.Operators.OfType<IAnalyzer>()) {
|
|---|
| 346 | foreach (IScopeTreeLookupParameter param in analyzer.Parameters.OfType<IScopeTreeLookupParameter>())
|
|---|
| 347 | param.Depth = 1;
|
|---|
| 348 | Analyzer.Operators.Add(analyzer, analyzer.EnabledByDefault);
|
|---|
| 349 | }
|
|---|
| 350 | }
|
|---|
| 351 | }
|
|---|
| 352 |
|
|---|
| 353 | private void UpdateCrossovers() {
|
|---|
| 354 | ICrossover oldCrossover = CrossoverParameter.Value;
|
|---|
| 355 | CrossoverParameter.ValidValues.Clear();
|
|---|
| 356 | ICrossover defaultCrossover = Problem.Operators.OfType<ICrossover>().FirstOrDefault();
|
|---|
| 357 |
|
|---|
| 358 | foreach (ICrossover crossover in Problem.Operators.OfType<ICrossover>().OrderBy(x => x.Name))
|
|---|
| 359 | CrossoverParameter.ValidValues.Add(crossover);
|
|---|
| 360 |
|
|---|
| 361 | if (oldCrossover != null) {
|
|---|
| 362 | ICrossover crossover = CrossoverParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldCrossover.GetType());
|
|---|
| 363 | if (crossover != null) CrossoverParameter.Value = crossover;
|
|---|
| 364 | else oldCrossover = null;
|
|---|
| 365 | }
|
|---|
| 366 | if (oldCrossover == null && defaultCrossover != null)
|
|---|
| 367 | CrossoverParameter.Value = defaultCrossover;
|
|---|
| 368 | }
|
|---|
| 369 |
|
|---|
| 370 | private void UpdateMutators() {
|
|---|
| 371 | IManipulator oldMutator = MutatorParameter.Value;
|
|---|
| 372 | MutatorParameter.ValidValues.Clear();
|
|---|
| 373 | IManipulator defaultMutator = Problem.Operators.OfType<IManipulator>().FirstOrDefault();
|
|---|
| 374 |
|
|---|
| 375 | foreach (IManipulator mutator in Problem.Operators.OfType<IManipulator>().OrderBy(x => x.Name))
|
|---|
| 376 | MutatorParameter.ValidValues.Add(mutator);
|
|---|
| 377 |
|
|---|
| 378 | if (oldMutator != null) {
|
|---|
| 379 | IManipulator mutator = MutatorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldMutator.GetType());
|
|---|
| 380 | if (mutator != null) MutatorParameter.Value = mutator;
|
|---|
| 381 | else oldMutator = null;
|
|---|
| 382 | }
|
|---|
| 383 |
|
|---|
| 384 | if (oldMutator == null && defaultMutator != null)
|
|---|
| 385 | MutatorParameter.Value = defaultMutator;
|
|---|
| 386 | }
|
|---|
| 387 | private void UpdateSelectors() {
|
|---|
| 388 | ISelector oldSelector = SelectorParameter.Value;
|
|---|
| 389 | SelectorParameter.ValidValues.Clear();
|
|---|
| 390 | ISelector defaultSelector = Problem.Operators.OfType<ISelector>().FirstOrDefault();
|
|---|
| 391 |
|
|---|
| 392 | foreach (ISelector selector in Problem.Operators.OfType<ISelector>().OrderBy(x => x.Name))
|
|---|
| 393 | SelectorParameter.ValidValues.Add(selector);
|
|---|
| 394 |
|
|---|
| 395 | if (oldSelector != null) {
|
|---|
| 396 | ISelector selector = SelectorParameter.ValidValues.FirstOrDefault(x => x.GetType() == oldSelector.GetType());
|
|---|
| 397 | if (selector != null) SelectorParameter.Value = selector;
|
|---|
| 398 | else oldSelector = null;
|
|---|
| 399 | }
|
|---|
| 400 |
|
|---|
| 401 | if (oldSelector == null && defaultSelector != null)
|
|---|
| 402 | SelectorParameter.Value = defaultSelector;
|
|---|
| 403 | }
|
|---|
| 404 | protected override void OnProblemChanged() {
|
|---|
| 405 | UpdateCrossovers();
|
|---|
| 406 | UpdateMutators();
|
|---|
| 407 | UpdateAnalyzers();
|
|---|
| 408 | base.OnProblemChanged();
|
|---|
| 409 | }
|
|---|
| 410 |
|
|---|
| 411 | protected override void OnExecutionStateChanged() {
|
|---|
| 412 | previousExecutionState = ExecutionState;
|
|---|
| 413 | base.OnExecutionStateChanged();
|
|---|
| 414 | }
|
|---|
| 415 |
|
|---|
| 416 | protected override void OnStopped() {
|
|---|
| 417 | if (Solutions != null) {
|
|---|
| 418 | Solutions.Clear();
|
|---|
| 419 | }
|
|---|
| 420 | if (Population != null) {
|
|---|
| 421 | Population.Clear();
|
|---|
| 422 | }
|
|---|
| 423 | //if (offspringPopulation != null) {
|
|---|
| 424 | // offspringPopulation.Clear();
|
|---|
| 425 | //}
|
|---|
| 426 | //if (jointPopulation != null) {
|
|---|
| 427 | // jointPopulation.Clear();
|
|---|
| 428 | //}
|
|---|
| 429 | executionContext.Scope.SubScopes.Clear();
|
|---|
| 430 | base.OnStopped();
|
|---|
| 431 | }
|
|---|
| 432 | #endregion
|
|---|
| 433 | }
|
|---|
| 434 | }
|
|---|
