| 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.Encodings.IntegerVectorEncoding;
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| 5 | using HeuristicLab.Encodings.RealVectorEncoding;
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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 | /// <summary>
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| 13 | ///
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| 14 | /// </summary>
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| 15 | [Item("ParameterConfigurationCrossover", "TODO")]
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| 16 | [StorableClass]
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| 17 | public class ParameterConfigurationCrossover : SingleSuccessorOperator, IParameterConfigurationOperator, ICrossover {
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| 18 | public override bool CanChangeName {
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| 19 | get { return false; }
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| 20 | }
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| 21 |
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| 22 | public ILookupParameter<IRandom> RandomParameter {
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| 23 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 24 | }
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| 25 | public ILookupParameter<ItemArray<IValueConfiguration>> ParentsParameter {
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| 26 | get { return (ScopeTreeLookupParameter<IValueConfiguration>)Parameters["Parents"]; }
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| 27 | }
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| 28 | public ILookupParameter<IValueConfiguration> ChildParameter {
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| 29 | get { return (ILookupParameter<IValueConfiguration>)Parameters["Child"]; }
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| 30 | }
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| 31 |
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| 32 | public IValueLookupParameter<IIntValueCrossover> IntValueCrossoverParameter {
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| 33 | get { return (IValueLookupParameter<IIntValueCrossover>)Parameters[MetaOptimizationProblem.IntValueCrossoverParameterName]; }
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| 34 | }
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| 35 | public IValueLookupParameter<IDoubleValueCrossover> DoubleValueCrossoverParameter {
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| 36 | get { return (IValueLookupParameter<IDoubleValueCrossover>)Parameters[MetaOptimizationProblem.DoubleValueCrossoverParameterName]; }
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| 37 | }
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| 38 |
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| 39 | [StorableConstructor]
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| 40 | protected ParameterConfigurationCrossover(bool deserializing) : base(deserializing) { }
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| 41 | protected ParameterConfigurationCrossover(ParameterConfigurationCrossover original, Cloner cloner) : base(original, cloner) { }
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| 42 | public ParameterConfigurationCrossover()
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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 for stochastic crossover operators."));
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| 45 | Parameters.Add(new ScopeTreeLookupParameter<IValueConfiguration>("Parents", "The parent vectors which should be crossed."));
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| 46 | ParentsParameter.ActualName = "ParameterConfigurationTree";
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| 47 | Parameters.Add(new LookupParameter<IValueConfiguration>("Child", "The child vector resulting from the crossover."));
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| 48 | ChildParameter.ActualName = "ParameterConfigurationTree";
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| 49 |
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| 50 | Parameters.Add(new ValueLookupParameter<IIntValueCrossover>(MetaOptimizationProblem.IntValueCrossoverParameterName, ""));
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| 51 | Parameters.Add(new ValueLookupParameter<IDoubleValueCrossover>(MetaOptimizationProblem.DoubleValueCrossoverParameterName, ""));
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| 52 | }
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| 53 | public override IDeepCloneable Clone(Cloner cloner) {
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| 54 | return new ParameterConfigurationCrossover(this, cloner);
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| 55 | }
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| 56 |
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| 57 | public override IOperation Apply() {
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| 58 | IValueConfiguration child1 = (IValueConfiguration)ParentsParameter.ActualValue[0].Clone();
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| 59 | IValueConfiguration child2 = (IValueConfiguration)ParentsParameter.ActualValue[1];
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| 60 |
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| 61 | //child1.Cross(child2, RandomParameter.ActualValue);
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| 62 | //this.ChildParameter.ActualValue = child1;
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| 63 |
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| 64 | child1.Cross(RandomParameter.ActualValue, child2, Cross, this);
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| 65 | this.ChildParameter.ActualValue = child1;
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| 66 |
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| 67 | return base.Apply();
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| 68 | }
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| 69 |
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| 70 | private static void Cross(IRandom random, IOptimizable configuartion, ParameterConfigurationCrossover pccross) {
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| 71 | if (configuartion is IValueConfiguration) {
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| 72 | var vc = configuartion as IValueConfiguration;
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| 73 | var value = vc.ActualValue.Value;
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| 74 | var range = vc.RangeConstraint;
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| 75 |
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| 76 | if (value is IntValue) {
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| 77 | pccross.IntValueCrossoverParameter.ActualValue.Apply(random, (IntValue)value, (IntValueRange)range);
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| 78 | } else if (value is PercentValue) {
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| 79 | pccross.DoubleValueCrossoverParameter.ActualValue.Apply(random, (PercentValue)value, ((PercentValueRange)range).AsDoubleValueRange());
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| 80 | } else if (value is DoubleValue) {
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| 81 | pccross.DoubleValueCrossoverParameter.ActualValue.Apply(random, (DoubleValue)value, (DoubleValueRange)range);
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| 82 | }
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| 83 | } else if (configuartion is IParameterConfiguration) {
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| 84 |
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| 85 | }
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| 86 | }
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| 87 |
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| 88 | private IntValue CrossInteger(IParameterConfiguration parameter1, IParameterConfiguration parameter2) {
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| 89 | IntegerVector integerChild = HeuristicLab.Encodings.IntegerVectorEncoding.DiscreteCrossover.Apply(
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| 90 | RandomParameter.ActualValue,
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| 91 | new IntegerVector(new IntArray(new int[] { ((IntValue)parameter1.ActualValue.Value).Value })),
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| 92 | new IntegerVector(new IntArray(new int[] { ((IntValue)parameter2.ActualValue.Value).Value })));
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| 93 | return new IntValue(integerChild[0]);
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| 94 | }
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| 95 |
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| 96 | }
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| 97 | }
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