[11484] | 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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[11739] | 23 | using System.Collections.Generic;
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[11484] | 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.Optimization;
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| 31 | using HeuristicLab.Parameters;
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| 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 33 |
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| 34 | namespace HeuristicLab.Problems.Programmable {
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| 35 | [Item("Single-objective MoveGenerator", "Calls the GetNeighbors method of the problem definition to obtain the moves.")]
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| 36 | [StorableClass]
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[11753] | 37 | public class SingleObjectiveMoveGenerator : SingleSuccessorOperator, INeighborBasedOperator, IMultiMoveGenerator, IStochasticOperator, ISingleObjectiveMoveOperator {
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[11484] | 38 | public ILookupParameter<IRandom> RandomParameter {
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| 39 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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| 40 | }
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| 41 |
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| 42 | public IValueLookupParameter<IntValue> SampleSizeParameter {
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| 43 | get { return (IValueLookupParameter<IntValue>)Parameters["SampleSize"]; }
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| 44 | }
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| 45 |
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[11559] | 46 | public ILookupParameter<IEncoding> EncodingParameter {
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| 47 | get { return (ILookupParameter<IEncoding>)Parameters["Encoding"]; }
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[11484] | 48 | }
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| 49 |
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[11739] | 50 | public Func<Individual, IRandom, IEnumerable<Individual>> GetNeighborsFunc { get; set; }
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| 51 |
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[11484] | 52 | [StorableConstructor]
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| 53 | protected SingleObjectiveMoveGenerator(bool deserializing) : base(deserializing) { }
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| 54 | protected SingleObjectiveMoveGenerator(SingleObjectiveMoveGenerator original, Cloner cloner)
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| 55 | : base(original, cloner) { }
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| 56 | public SingleObjectiveMoveGenerator() {
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| 57 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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| 58 | Parameters.Add(new ValueLookupParameter<IntValue>("SampleSize", "The number of moves to sample."));
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[11559] | 59 | Parameters.Add(new LookupParameter<IEncoding>("Encoding", "An item that holds the problem's encoding."));
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[11484] | 60 | }
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| 61 |
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| 62 | public override IDeepCloneable Clone(Cloner cloner) {
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| 63 | return new SingleObjectiveMoveGenerator(this, cloner);
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| 64 | }
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| 65 |
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[11739] | 66 | public override IOperation Apply() {
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[11484] | 67 | var random = RandomParameter.ActualValue;
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| 68 | var sampleSize = SampleSizeParameter.ActualValue.Value;
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| 69 | var encoding = EncodingParameter.ActualValue;
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[11619] | 70 | var individual = encoding.GetIndividual(ExecutionContext.Scope);
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[11739] | 71 | var nbhood = GetNeighborsFunc(individual, random).Take(sampleSize).ToList();
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[11484] | 72 |
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| 73 | var moveScopes = new Scope[nbhood.Count];
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| 74 | for (int i = 0; i < moveScopes.Length; i++) {
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| 75 | moveScopes[i] = new Scope(i.ToString(CultureInfo.InvariantCulture.NumberFormat));
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[11598] | 76 | nbhood[i].Copy(moveScopes[i]);
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[11484] | 77 | }
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| 78 | ExecutionContext.Scope.SubScopes.AddRange(moveScopes);
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| 79 |
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[11739] | 80 | return base.Apply();
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[11484] | 81 | }
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| 82 | }
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| 83 | }
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