1 | #region License Information |
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2 | /* HeuristicLab |
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3 | * Copyright (C) 2002-2013 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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