1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 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.PermutationEncoding;
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26 | using HeuristicLab.Optimization;
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27 | using HeuristicLab.Parameters;
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28 | using HeuristicLab.Persistence;
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29 |
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30 | namespace HeuristicLab.Problems.PTSP {
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31 | [Item("Stochastic 2.5-MultiMoveGenerator", "Randomly samples n from all possible inversion and shift moves (2.5-opt) from a given permutation.")]
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32 | [StorableType("756ea6fd-1a94-494b-9c03-b4d0cb646385")]
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33 | public sealed class StochasticTwoPointFiveMultiMoveGenerator : TwoPointFiveMoveGenerator, IMultiMoveGenerator, IStochasticOperator {
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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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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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46 | [StorableConstructor]
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47 | private StochasticTwoPointFiveMultiMoveGenerator(bool deserializing) : base(deserializing) { }
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48 | private StochasticTwoPointFiveMultiMoveGenerator(StochasticTwoPointFiveMultiMoveGenerator original, Cloner cloner) : base(original, cloner) { }
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49 | public StochasticTwoPointFiveMultiMoveGenerator()
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50 | : base() {
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51 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator."));
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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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55 | public override IDeepCloneable Clone(Cloner cloner) {
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56 | return new StochasticTwoPointFiveMultiMoveGenerator(this, cloner);
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57 | }
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58 |
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59 | public static TwoPointFiveMove[] Apply(Permutation permutation, IRandom random, int sampleSize) {
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60 | var moves = new TwoPointFiveMove[sampleSize];
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61 | for (var i = 0; i < sampleSize; i++) {
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62 | moves[i] = StochasticTwoPointFiveSingleMoveGenerator.Apply(permutation, random);
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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 TwoPointFiveMove[] GenerateMoves(Permutation permutation) {
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68 | return Apply(permutation, RandomParameter.ActualValue, SampleSizeParameter.ActualValue.Value);
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69 | }
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70 | }
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71 | }
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