| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 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.Data;
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| 25 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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| 26 | using HeuristicLab.Operators;
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| 27 | using HeuristicLab.Optimization;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 |
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| 31 | namespace HeuristicLab.Problems.GeneralizedQuadraticAssignment.Operators {
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| 32 | [Item("NMoveShakingOperator", "Performs a number of shaking operations that increase in strength.")]
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| 33 | [StorableClass]
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| 34 | public class NMoveShakingOperator : SingleSuccessorOperator, IProblemInstanceAwareGQAPOperator,
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| 35 | IAssignmentAwareGQAPOperator, IMultiNeighborhoodShakingOperator, IStochasticOperator {
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| 36 |
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| 37 |
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| 38 | public ILookupParameter<GQAPInstance> ProblemInstanceParameter {
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| 39 | get { return (ILookupParameter<GQAPInstance>)Parameters["ProblemInstance"]; }
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| 40 | }
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| 41 | public ILookupParameter<IntegerVector> AssignmentParameter {
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| 42 | get { return (ILookupParameter<IntegerVector>)Parameters["Assignment"]; }
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| 43 | }
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| 44 | public IValueLookupParameter<IntValue> CurrentNeighborhoodIndexParameter {
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| 45 | get { return (IValueLookupParameter<IntValue>)Parameters["CurrentNeighborhoodIndex"]; }
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| 46 | }
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| 47 | public ILookupParameter<IntValue> NeighborhoodCountParameter {
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| 48 | get { return (ILookupParameter<IntValue>)Parameters["NeighborhoodCount"]; }
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| 49 | }
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| 50 | public ILookupParameter<IRandom> RandomParameter {
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| 51 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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| 52 | }
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| 53 |
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| 54 | [StorableConstructor]
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| 55 | protected NMoveShakingOperator(bool deserializing) : base(deserializing) { }
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| 56 | protected NMoveShakingOperator(NMoveShakingOperator original, Cloner cloner) : base(original, cloner) { }
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| 57 | public NMoveShakingOperator() {
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| 58 | Parameters.Add(new LookupParameter<GQAPInstance>("ProblemInstance", GQAP.ProblemInstanceDescription));
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| 59 | Parameters.Add(new LookupParameter<IntegerVector>("Assignment", GQAPSolutionCreator.AssignmentDescription));
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| 60 | Parameters.Add(new ValueLookupParameter<IntValue>("CurrentNeighborhoodIndex", "The index of the operator that should be applied (k)."));
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| 61 | Parameters.Add(new LookupParameter<IntValue>("NeighborhoodCount", "The number of operators that are available."));
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| 62 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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| 63 | }
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| 64 |
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| 65 | public override IDeepCloneable Clone(Cloner cloner) {
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| 66 | return new NMoveShakingOperator(this, cloner);
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| 67 | }
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| 68 |
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| 69 | public override IOperation Apply() {
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| 70 | var random = RandomParameter.ActualValue;
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| 71 | var assignment = AssignmentParameter.ActualValue;
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| 72 | var capacities = ProblemInstanceParameter.ActualValue.Capacities;
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| 73 |
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| 74 | if (NeighborhoodCountParameter.ActualValue == null)
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| 75 | NeighborhoodCountParameter.ActualValue = new IntValue(assignment.Length);
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| 76 | else NeighborhoodCountParameter.ActualValue.Value = assignment.Length;
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| 77 |
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| 78 | int index = CurrentNeighborhoodIndexParameter.ActualValue.Value;
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| 79 |
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| 80 | var move = StochasticNMoveSingleMoveGenerator.GenerateUpToN(random, assignment, index + 1, capacities);
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| 81 | NMoveMaker.Apply(assignment, move);
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| 82 |
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| 83 | return base.Apply();
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| 84 | }
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| 85 | }
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| 86 | }
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