| 1 | using System.Linq;
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| 2 | using HeuristicLab.Common;
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| 3 | using HeuristicLab.Core;
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| 4 | using HeuristicLab.Data;
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| 5 | using HeuristicLab.Operators;
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| 6 | using HeuristicLab.Optimization;
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| 7 | using HeuristicLab.Parameters;
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| 8 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 9 | using HEAL.Attic;
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| 10 |
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| 11 | namespace HeuristicLab.Problems.MetaOptimization {
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| 12 | [Item("AlgorithmEvaluator", "")]
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| 13 | [StorableType("955A1FA9-487C-4EB6-B6D4-4BE07BCD3DE3")]
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| 14 | public class AlgorithmEvaluator : SingleSuccessorOperator {
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| 15 |
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| 16 | #region Parameter properties
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| 17 | public ILookupParameter<IRandom> RandomParameter {
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| 18 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 19 | }
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| 20 | public ILookupParameter<IAlgorithm> AlgorithmParameter {
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| 21 | get { return (LookupParameter<IAlgorithm>)Parameters["Algorithm"]; }
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| 22 | }
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| 23 | public ILookupParameter<IntValue> ProblemIndexParameter {
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| 24 | get { return (LookupParameter<IntValue>)Parameters["ProblemIndex"]; }
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| 25 | }
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| 26 | public ILookupParameter<IntValue> RepetitionIndexParameter {
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| 27 | get { return (LookupParameter<IntValue>)Parameters["RepetitionIndex"]; }
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| 28 | }
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| 29 | public ILookupParameter<ParameterConfigurationTree> ParameterConfigurationParameter {
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| 30 | get { return (ILookupParameter<ParameterConfigurationTree>)Parameters["ParameterConfigurationTree"]; }
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| 31 | }
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| 32 | //public IValueParameter<IItemList<IRun>> RunsParameter {
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| 33 | // get { return (IValueParameter<IItemList<IRun>>)Parameters["Runs"]; }
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| 34 | //}
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| 35 | public LookupParameter<ResultCollection> ResultsParameter {
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| 36 | get { return (LookupParameter<ResultCollection>)Parameters["Results"]; }
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| 37 | }
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| 38 | #endregion
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| 39 |
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| 40 | [StorableConstructor]
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| 41 | protected AlgorithmEvaluator(StorableConstructorFlag _) : base(_) { }
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| 42 | public AlgorithmEvaluator()
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| 43 | : base() {
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| 44 | 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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| 45 | Parameters.Add(new LookupParameter<IAlgorithm>("Algorithm", ""));
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| 46 | Parameters.Add(new LookupParameter<IntValue>("ProblemIndex", ""));
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| 47 | Parameters.Add(new LookupParameter<IntValue>("RepetitionIndex", ""));
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| 48 | Parameters.Add(new LookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
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| 49 | Parameters.Add(new LookupParameter<ResultCollection>("Results", ""));
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| 50 | }
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| 51 | protected AlgorithmEvaluator(AlgorithmEvaluator original, Cloner cloner) : base(original, cloner) { }
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| 52 | public override IDeepCloneable Clone(Cloner cloner) {
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| 53 | return new AlgorithmEvaluator(this, cloner);
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| 54 | }
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| 55 |
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| 56 | public override IOperation Apply() {
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| 57 | bool isValidScope = RepetitionIndexParameter.ActualValue != null; // this is a workaround for OSGA, where the PMOEvaluator is executed on scopes which happen to contain additional subscopes which collide with the subscopes created for the repetitions/problems in PMOEvaluator
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| 58 | if (!isValidScope) return base.Apply();
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| 59 |
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| 60 | ItemDictionary<StringValue, RunCollection> solutionCache =
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| 61 | ResultsParameter.ActualValue.ContainsKey("SolutionCache") ?
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| 62 | (ItemDictionary<StringValue, RunCollection>)ResultsParameter.ActualValue["SolutionCache"].Value :
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| 63 | null;
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| 64 | ParameterConfigurationTree parameterConfiguration = ParameterConfigurationParameter.ActualValue;
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| 65 | IAlgorithm algorithm = AlgorithmParameter.ActualValue;
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| 66 | int repetitionIndex = RepetitionIndexParameter.ActualValue.Value;
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| 67 |
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| 68 | if (solutionCache != null && solutionCache.Count(x => x.Key.Value == parameterConfiguration.ParameterInfoString) > 0) {
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| 69 | algorithm.Runs.Add(solutionCache.Single(x => x.Key.Value == parameterConfiguration.ParameterInfoString).Value.ElementAt(repetitionIndex));
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| 70 | } else {
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| 71 | algorithm.StartSync(CancellationToken);
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| 72 | }
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| 73 | return base.Apply();
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| 74 | }
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| 75 | }
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| 76 | }
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