1 | using System;
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2 | using System.Diagnostics;
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3 | using HeuristicLab.Common;
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4 | using HeuristicLab.Core;
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5 | using HeuristicLab.Data;
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6 | using HeuristicLab.Operators;
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7 | using HeuristicLab.Optimization;
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8 | using HeuristicLab.Parameters;
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9 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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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 | [StorableClass]
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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 | #endregion
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36 |
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37 | [StorableConstructor]
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38 | protected AlgorithmEvaluator(bool deserializing) : base(deserializing) { }
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39 | public AlgorithmEvaluator()
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40 | : base() {
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41 | 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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42 | Parameters.Add(new LookupParameter<IAlgorithm>("Algorithm", ""));
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43 | Parameters.Add(new LookupParameter<IntValue>("ProblemIndex", ""));
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44 | Parameters.Add(new LookupParameter<IntValue>("RepetitionIndex", ""));
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45 | Parameters.Add(new LookupParameter<ParameterConfigurationTree>("ParameterConfigurationTree", ""));
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46 | Parameters.Add(new ValueParameter<IItemList<IRun>>("Runs", ""));
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47 | }
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48 | protected AlgorithmEvaluator(AlgorithmEvaluator original, Cloner cloner) : base(original, cloner) { }
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49 | public override IDeepCloneable Clone(Cloner cloner) {
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50 | return new AlgorithmEvaluator(this, cloner);
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51 | }
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52 |
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53 | public override IOperation Apply() {
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54 | IAlgorithm algorithm = AlgorithmParameter.ActualValue;
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55 |
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56 | var sw = new Stopwatch();
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57 | sw.Start();
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58 | algorithm.StartSync();
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59 | sw.Stop();
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60 | Console.WriteLine("{0},{1}: {2}", ProblemIndexParameter.ActualValue.Value, RepetitionIndexParameter.ActualValue.Value, sw.Elapsed);
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61 |
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62 | RunsParameter.Value = new ItemList<IRun>(algorithm.Runs);
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63 |
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64 | return base.Apply();
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65 | }
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66 |
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67 | /// <summary>
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68 | /// This method should repair an invalid parameterConfiguration.
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69 | /// The strategy is to just randomize parameter settings. It's not guaranteed to be a vaild setting
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70 | /// </summary>
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71 | private void Repair(ParameterConfigurationTree parameterConfiguration, IRandom random) {
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72 | parameterConfiguration.Randomize(random);
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73 | }
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74 | }
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75 | }
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