| 1 | using HeuristicLab.Common;
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| 2 | using HeuristicLab.Core;
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| 3 | using HeuristicLab.Data;
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| 4 | using HeuristicLab.Operators;
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| 5 | using HeuristicLab.Optimization;
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| 6 | using HeuristicLab.Parameters;
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| 7 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 8 |
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| 9 | namespace HeuristicLab.Problems.MetaOptimization {
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| 10 | [Item("PMOEvaluator", "An operator which represents the main loop of a genetic algorithm.")]
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| 11 | [StorableClass]
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| 12 | public class PMOEvaluator : AlgorithmOperator, IParameterConfigurationEvaluator {
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| 13 |
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| 14 | #region Parameter properties
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| 15 | public ILookupParameter<IRandom> RandomParameter {
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| 16 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 17 | }
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| 18 | public ILookupParameter<DoubleValue> QualityParameter {
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| 19 | get { return (ILookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 20 | }
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| 21 | public ILookupParameter<TypeValue> AlgorithmTypeParameter {
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| 22 | get { return (ILookupParameter<TypeValue>)Parameters[MetaOptimizationProblem.AlgorithmTypeParameterName]; }
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| 23 | }
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| 24 | public ILookupParameter<IItemList<IProblem>> ProblemsParameter {
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| 25 | get { return (ILookupParameter<IItemList<IProblem>>)Parameters[MetaOptimizationProblem.ProblemsParameterName]; }
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| 26 | }
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| 27 | public ILookupParameter<ParameterConfigurationTree> ParameterConfigurationParameter {
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| 28 | get { return (ILookupParameter<ParameterConfigurationTree>)Parameters["ParameterConfigurationTree"]; }
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| 29 | }
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| 30 | public LookupParameter<IntValue> RepetitionsParameter {
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| 31 | get { return (LookupParameter<IntValue>)Parameters[MetaOptimizationProblem.RepetitionsParameterName]; }
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| 32 | }
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| 33 | public LookupParameter<IntValue> GenerationsParameter {
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| 34 | get { return (LookupParameter<IntValue>)Parameters["Generations"]; }
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| 35 | }
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| 36 | public LookupParameter<ResultCollection> ResultsParameter {
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| 37 | get { return (LookupParameter<ResultCollection>)Parameters["Results"]; }
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| 38 | }
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| 39 | private ScopeParameter CurrentScopeParameter {
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| 40 | get { return (ScopeParameter)Parameters["CurrentScope"]; }
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| 41 | }
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| 42 | public IScope CurrentScope {
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| 43 | get { return CurrentScopeParameter.ActualValue; }
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| 44 | }
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| 45 | #endregion
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| 46 |
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| 47 | [StorableConstructor]
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| 48 | protected PMOEvaluator(bool deserializing) : base(deserializing) { }
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| 49 | public PMOEvaluator() {
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| 50 | Initialize();
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| 51 | }
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| 52 | protected PMOEvaluator(PMOEvaluator original, Cloner cloner) : base(original, cloner) { }
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| 53 | public override IDeepCloneable Clone(Cloner cloner) {
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| 54 | return new PMOEvaluator(this, cloner);
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| 55 | }
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| 56 |
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| 57 | private void Initialize() {
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| 58 | #region Create parameters
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| 59 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used to initialize the new random permutation."));
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| 60 | Parameters.Add(new LookupParameter<DoubleValue>("Quality", "The evaluated quality of the ParameterVector."));
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| 61 | Parameters.Add(new LookupParameter<TypeValue>(MetaOptimizationProblem.AlgorithmTypeParameterName, ""));
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| 62 | Parameters.Add(new LookupParameter<IItemList<IProblem>>(MetaOptimizationProblem.ProblemsParameterName, ""));
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| 63 | Parameters.Add(new LookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
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| 64 | Parameters.Add(new LookupParameter<IntValue>(MetaOptimizationProblem.RepetitionsParameterName, "Number of evaluations on one problem."));
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| 65 | Parameters.Add(new LookupParameter<IntValue>("Generations", ""));
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| 66 | Parameters.Add(new ScopeParameter("CurrentScope", "The current scope which represents a population of solutions on which the genetic algorithm should be applied."));
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| 67 | #endregion
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| 68 |
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| 69 | var algorithmSubScopesCreator = new AlgorithmSubScopesCreator();
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| 70 | var uniformSubScopesProcessor = new UniformSubScopesProcessor();
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| 71 | var algorithmEvaluator = new AlgorithmEvaluator();
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| 72 | var algorithmRunsAnalyzer = new AlgorithmRunsAnalyzer();
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| 73 |
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| 74 | this.OperatorGraph.InitialOperator = algorithmSubScopesCreator;
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| 75 | algorithmSubScopesCreator.Successor = uniformSubScopesProcessor;
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| 76 | uniformSubScopesProcessor.Operator = algorithmEvaluator;
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| 77 | uniformSubScopesProcessor.Successor = algorithmRunsAnalyzer;
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| 78 | algorithmRunsAnalyzer.Successor = null;
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| 79 |
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| 80 | }
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| 81 |
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| 82 | }
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| 83 | }
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