1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2014 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 System;
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23 | using System.Collections.Generic;
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24 | using System.Globalization;
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25 | using System.Linq;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Operators;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 |
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33 | namespace HeuristicLab.Optimization {
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34 | [Item("Single-objective MoveGenerator", "Calls the GetNeighbors method of the problem definition to obtain the moves.")]
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35 | [StorableClass]
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36 | public class SingleObjectiveMoveGenerator : SingleSuccessorOperator, INeighborBasedOperator, IMultiMoveGenerator, IStochasticOperator, ISingleObjectiveMoveOperator {
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37 | public ILookupParameter<IRandom> RandomParameter {
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38 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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39 | }
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40 |
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41 | public IValueLookupParameter<IntValue> SampleSizeParameter {
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42 | get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
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43 | }
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44 |
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45 | public ILookupParameter<IEncoding> EncodingParameter {
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46 | get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
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47 | }
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48 |
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49 | public Func<Individual, IRandom, IEnumerable<Individual>> GetNeighborsFunc { get; set; }
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50 |
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51 | [StorableConstructor]
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52 | protected SingleObjectiveMoveGenerator(bool deserializing) : base(deserializing) { }
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53 | protected SingleObjectiveMoveGenerator(SingleObjectiveMoveGenerator original, Cloner cloner)
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54 | : base(original, cloner) { }
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55 | public SingleObjectiveMoveGenerator() {
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56 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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57 | Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to sample."));
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58 | Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
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59 | }
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60 |
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61 | public override IDeepCloneable Clone(Cloner cloner) {
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62 | return new SingleObjectiveMoveGenerator(this, cloner);
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63 | }
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64 |
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65 | public override IOperation Apply() {
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66 | var random = RandomParameter.ActualValue;
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67 | var sampleSize = SampleSizeParameter.ActualValue.Value;
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68 | var encoding = EncodingParameter.ActualValue;
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69 | var individual = encoding.GetIndividual(ExecutionContext.Scope);
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70 | var nbhood = GetNeighborsFunc(individual, random).Take(sampleSize).ToList();
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71 |
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72 | var moveScopes = new Scope[nbhood.Count];
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73 | for (int i = 0; i < moveScopes.Length; i++) {
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74 | moveScopes[i] = new Scope(i.ToString(CultureInfo.InvariantCulture.NumberFormat));
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75 | nbhood[i].CopyToScope(moveScopes[i]);
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76 | }
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77 | ExecutionContext.Scope.SubScopes.AddRange(moveScopes);
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78 |
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79 | return base.Apply();
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80 | }
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81 | }
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82 | }
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