[5200] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[12012] | 3 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5200] | 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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[8053] | 22 | using HeuristicLab.Common;
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[5200] | 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Optimization;
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| 25 | using HeuristicLab.Parameters;
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| 26 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 27 | using HeuristicLab.Problems.VehicleRouting.Interfaces;
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| 28 | using HeuristicLab.Problems.VehicleRouting.Variants;
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| 29 |
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| 30 | namespace HeuristicLab.Problems.VehicleRouting.Encodings.General.Crossovers {
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| 31 | [Item("RandomParentCloneCrossover", "An operator which randomly chooses one parent and returns a clone.")]
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| 32 | [StorableClass]
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| 33 | public sealed class RandomParentCloneCrossover : VRPOperator, IStochasticOperator, IGeneralVRPOperator, IVRPCrossover {
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| 34 | public ILookupParameter<IRandom> RandomParameter {
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| 35 | get { return (LookupParameter<IRandom>)Parameters["Random"]; }
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| 36 | }
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| 37 |
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| 38 | public ILookupParameter<ItemArray<IVRPEncoding>> ParentsParameter {
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| 39 | get { return (ScopeTreeLookupParameter<IVRPEncoding>)Parameters["Parents"]; }
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| 40 | }
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| 41 |
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| 42 | public ILookupParameter<IVRPEncoding> ChildParameter {
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| 43 | get { return (ILookupParameter<IVRPEncoding>)Parameters["Child"]; }
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| 44 | }
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| 45 |
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| 46 | [StorableConstructor]
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| 47 | private RandomParentCloneCrossover(bool deserializing) : base(deserializing) { }
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| 48 |
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| 49 | public RandomParentCloneCrossover()
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| 50 | : base() {
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| 51 | Parameters.Add(new LookupParameter<IRandom>("Random", "The pseudo random number generator which should be used for stochastic manipulation operators."));
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| 52 |
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| 53 | Parameters.Add(new ScopeTreeLookupParameter<IVRPEncoding>("Parents", "The parent permutations which should be crossed."));
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| 54 | ParentsParameter.ActualName = "VRPTours";
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| 55 | Parameters.Add(new LookupParameter<IVRPEncoding>("Child", "The child permutation resulting from the crossover."));
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| 56 | ChildParameter.ActualName = "VRPTours";
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| 57 | }
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| 58 |
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| 59 | public override IDeepCloneable Clone(Cloner cloner) {
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| 60 | return new RandomParentCloneCrossover(this, cloner);
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| 61 | }
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| 62 |
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| 63 | private RandomParentCloneCrossover(RandomParentCloneCrossover original, Cloner cloner)
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| 64 | : base(original, cloner) {
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| 65 | }
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[8053] | 66 |
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[10298] | 67 | public override IOperation InstrumentedApply() {
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[5200] | 68 | if (RandomParameter.ActualValue.Next() < 0.5)
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| 69 | ChildParameter.ActualValue = ParentsParameter.ActualValue[0].Clone() as IVRPEncoding;
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| 70 | else
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| 71 | ChildParameter.ActualValue = ParentsParameter.ActualValue[1].Clone() as IVRPEncoding;
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| 72 |
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[10298] | 73 | return base.InstrumentedApply();
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[5200] | 74 | }
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| 75 | }
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| 76 | }
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