| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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| 4 | *
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| 5 | * This file is part of HeuristicLab.
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| 6 | *
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| 7 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 8 | * it under the terms of the GNU General Public License as published by
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| 9 | * the Free Software Foundation, either version 3 of the License, or
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| 10 | * (at your option) any later version.
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| 11 | *
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| 12 | * HeuristicLab is distributed in the hope that it will be useful,
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| 13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 15 | * GNU General Public License for more details.
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| 16 | *
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| 17 | * You should have received a copy of the GNU General Public License
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| 18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 19 | */
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| 20 | #endregion
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| 21 |
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| 22 | using HeuristicLab.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Operators;
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| 25 | using HeuristicLab.Optimization;
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| 26 | using HeuristicLab.Parameters;
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| 27 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 28 |
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| 29 | namespace HeuristicLab.Encodings.BinaryVectorEncoding {
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| 30 | /// <summary>
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| 31 | /// A base class for operators that perform a crossover of bool-valued vectors.
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| 32 | /// </summary>
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| 33 | [Item("BinaryVectorCrossover", "A base class for operators that perform a crossover of bool-valued vectors.")]
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| 34 | [StorableClass]
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| 35 | public abstract class BinaryVectorCrossover : InstrumentedOperator, IBinaryVectorCrossover, IStochasticOperator {
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| 36 | public override bool CanChangeName {
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| 37 | get { return false; }
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| 38 | }
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| 39 | public ILookupParameter<IRandom> RandomParameter {
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| 40 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 41 | }
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| 42 | public ILookupParameter<ItemArray<BinaryVector>> ParentsParameter {
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| 43 | get { return (ScopeTreeLookupParameter<BinaryVector>)Parameters["Parents"]; }
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| 44 | }
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| 45 | public ILookupParameter<BinaryVector> ChildParameter {
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| 46 | get { return (ILookupParameter<BinaryVector>)Parameters["Child"]; }
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| 47 | }
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| 48 |
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| 49 | [StorableConstructor]
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| 50 | protected BinaryVectorCrossover(bool deserializing) : base(deserializing) { }
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| 51 | protected BinaryVectorCrossover(BinaryVectorCrossover original, Cloner cloner) : base(original, cloner) { }
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| 52 | protected BinaryVectorCrossover()
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| 53 | : base() {
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| 54 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic crossover operators."));
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| 55 | Parameters.Add(new ScopeTreeLookupParameter<BinaryVector>("Parents", "The parent vectors which should be crossed."));
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| 56 | ParentsParameter.ActualName = "BinaryVector";
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| 57 | Parameters.Add(new LookupParameter<BinaryVector>("Child", "The child vector resulting from the crossover."));
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| 58 | ChildParameter.ActualName = "BinaryVector";
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| 59 | }
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| 60 |
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| 61 | public sealed override IOperation InstrumentedApply() {
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| 62 | ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, ParentsParameter.ActualValue);
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| 63 | return base.InstrumentedApply();
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| 64 | }
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| 65 |
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| 66 | protected abstract BinaryVector Cross(IRandom random, ItemArray<BinaryVector> parents);
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| 67 | }
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| 68 | }
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