[3117] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[15584] | 3 | * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[3117] | 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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[11929] | 22 | using System;
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[4722] | 23 | using HeuristicLab.Common;
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[3117] | 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 | namespace HeuristicLab.Encodings.BinaryVectorEncoding {
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| 31 | [Item("StochasticOneBitflipMultiMoveGenerator", "Randomly samples n from all possible one bitflip moves from a given BinaryVector.")]
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| 32 | [StorableClass]
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[11929] | 33 | public class StochasticOneBitflipMultiMoveGenerator : OneBitflipMoveGenerator, IStochasticOperator, IMultiMoveGenerator {
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[3520] | 34 | public ILookupParameter<IRandom> RandomParameter {
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| 35 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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| 36 | }
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[3117] | 37 | public IValueLookupParameter<IntValue> SampleSizeParameter {
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| 38 | get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
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| 39 | }
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| 40 |
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| 41 | public IntValue SampleSize {
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| 42 | get { return SampleSizeParameter.Value; }
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| 43 | set { SampleSizeParameter.Value = value; }
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| 44 | }
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| 45 |
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[4722] | 46 | [StorableConstructor]
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| 47 | protected StochasticOneBitflipMultiMoveGenerator(bool deserializing) : base(deserializing) { }
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| 48 | protected StochasticOneBitflipMultiMoveGenerator(StochasticOneBitflipMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
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[3117] | 49 | public StochasticOneBitflipMultiMoveGenerator()
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| 50 | : base() {
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[3520] | 51 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
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[3117] | 52 | Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to generate."));
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| 53 | }
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| 54 |
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[4722] | 55 | public override IDeepCloneable Clone(Cloner cloner) {
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| 56 | return new StochasticOneBitflipMultiMoveGenerator(this, cloner);
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| 57 | }
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| 58 |
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[3117] | 59 | public static OneBitflipMove[] Apply(BinaryVector binaryVector, IRandom random, int sampleSize) {
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| 60 | OneBitflipMove[] moves = new OneBitflipMove[sampleSize];
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| 61 | for (int i = 0; i < sampleSize; i++) {
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[3520] | 62 | moves[i] = StochasticOneBitflipSingleMoveGenerator.Apply(binaryVector, random);
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[3117] | 63 | }
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| 64 | return moves;
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| 65 | }
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| 66 |
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| 67 | protected override OneBitflipMove[] GenerateMoves(BinaryVector binaryVector) {
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| 68 | IRandom random = RandomParameter.ActualValue;
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[11929] | 69 | if (SampleSizeParameter.ActualValue == null) throw new InvalidOperationException("StochasticOneBitflipMultiMoveGenerator: Parameter " + SampleSizeParameter.ActualName + " could not be found.");
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[3117] | 70 | return Apply(binaryVector, random, SampleSizeParameter.ActualValue.Value);
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| 71 | }
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| 72 | }
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| 73 | }
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