[7789] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[11171] | 3 | * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[7789] | 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.Linq;
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| 24 | using HeuristicLab.Common;
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| 25 | using HeuristicLab.Core;
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| 26 | using HeuristicLab.Data;
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| 27 | using HeuristicLab.Operators;
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[8086] | 28 | using HeuristicLab.Optimization;
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[7789] | 29 | using HeuristicLab.Parameters;
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| 30 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 31 |
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| 32 | namespace HeuristicLab.Algorithms.ScatterSearch {
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| 33 | /// <summary>
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| 34 | /// An operator that updates the solution pool.
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| 35 | /// </summary>
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| 36 | [Item("SolutionPoolUpdateMethod", "An operator that updates the solution pool.")]
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| 37 | [StorableClass]
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[8319] | 38 | public sealed class SolutionPoolUpdateMethod : SingleSuccessorOperator, ISimilarityBasedOperator {
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[8086] | 39 | #region ISimilarityBasedOperator Members
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[8345] | 40 | [Storable]
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[8319] | 41 | public ISolutionSimilarityCalculator SimilarityCalculator { get; set; }
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[8086] | 42 | #endregion
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| 43 |
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[7789] | 44 | #region Parameter properties
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| 45 | public ScopeParameter CurrentScopeParameter {
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| 46 | get { return (ScopeParameter)Parameters["CurrentScope"]; }
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| 47 | }
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| 48 | public IValueLookupParameter<BoolValue> MaximizationParameter {
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| 49 | get { return (IValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 50 | }
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| 51 | public IValueLookupParameter<BoolValue> NewSolutionsParameter {
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| 52 | get { return (IValueLookupParameter<BoolValue>)Parameters["NewSolutions"]; }
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| 53 | }
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| 54 | public IValueLookupParameter<IItem> QualityParameter {
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| 55 | get { return (IValueLookupParameter<IItem>)Parameters["Quality"]; }
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| 56 | }
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| 57 | public IValueLookupParameter<IntValue> ReferenceSetSizeParameter {
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| 58 | get { return (IValueLookupParameter<IntValue>)Parameters["ReferenceSetSize"]; }
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| 59 | }
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| 60 | #endregion
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| 61 |
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| 62 | #region Properties
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| 63 | private IScope CurrentScope {
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| 64 | get { return CurrentScopeParameter.ActualValue; }
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| 65 | }
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| 66 | private BoolValue Maximization {
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| 67 | get { return MaximizationParameter.ActualValue; }
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| 68 | set { MaximizationParameter.ActualValue = value; }
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| 69 | }
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| 70 | private BoolValue NewSolutions {
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| 71 | get { return NewSolutionsParameter.ActualValue; }
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| 72 | }
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| 73 | private IItem Quality {
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| 74 | get { return QualityParameter.ActualValue; }
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| 75 | }
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| 76 | private IntValue ReferenceSetSize {
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| 77 | get { return ReferenceSetSizeParameter.ActualValue; }
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| 78 | set { ReferenceSetSizeParameter.ActualValue = value; }
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| 79 | }
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| 80 | #endregion
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| 81 |
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| 82 | [StorableConstructor]
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| 83 | private SolutionPoolUpdateMethod(bool deserializing) : base(deserializing) { }
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[8345] | 84 | private SolutionPoolUpdateMethod(SolutionPoolUpdateMethod original, Cloner cloner)
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| 85 | : base(original, cloner) {
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| 86 | this.SimilarityCalculator = cloner.Clone(original.SimilarityCalculator);
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| 87 | }
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[7789] | 88 | public SolutionPoolUpdateMethod() : base() { Initialize(); }
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| 89 |
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| 90 | public override IDeepCloneable Clone(Cloner cloner) {
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| 91 | return new SolutionPoolUpdateMethod(this, cloner);
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| 92 | }
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| 93 |
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| 94 | private void Initialize() {
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| 95 | #region Create parameters
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[8086] | 96 | Parameters.Add(new ScopeParameter("CurrentScope", "The current scope that is the reference set."));
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| 97 | Parameters.Add(new ValueLookupParameter<BoolValue>("Maximization", "True if the problem is a maximization problem, otherwise false."));
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| 98 | Parameters.Add(new ValueLookupParameter<BoolValue>("NewSolutions", "True if new solutions have been found, otherwise false."));
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| 99 | Parameters.Add(new ValueLookupParameter<IItem>("Quality", "This parameter is used for name translation only."));
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| 100 | Parameters.Add(new ValueLookupParameter<IntValue>("ReferenceSetSize", "The size of the reference set."));
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[7789] | 101 | #endregion
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| 102 | }
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| 103 |
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| 104 | public override IOperation Apply() {
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[8086] | 105 | ScopeList parents = new ScopeList();
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| 106 | ScopeList offspring = new ScopeList();
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[7789] | 107 |
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| 108 | // split parents and offspring
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| 109 | foreach (var scope in CurrentScope.SubScopes) {
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[8086] | 110 | parents.AddRange(scope.SubScopes.Take(scope.SubScopes.Count - 1));
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| 111 | offspring.AddRange(scope.SubScopes.Last().SubScopes);
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[7789] | 112 | }
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| 113 |
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| 114 | CurrentScope.SubScopes.Clear();
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| 115 |
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[8086] | 116 | // attention: assumes that parents are distinct
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| 117 | // distinction might cause a too small reference set (e.g. reference set = {1, 2, 2, 2,..., 2} -> union = {1, 2}
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[7789] | 118 |
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[8086] | 119 | var orderedParents = Maximization.Value ? parents.OrderByDescending(x => x.Variables[QualityParameter.ActualName].Value) :
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| 120 | parents.OrderBy(x => x.Variables[QualityParameter.ActualName].Value);
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| 121 | var orderedOffspring = Maximization.Value ? offspring.OrderByDescending(x => x.Variables[QualityParameter.ActualName].Value) :
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| 122 | offspring.OrderBy(x => x.Variables[QualityParameter.ActualName].Value);
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| 123 |
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[7789] | 124 | CurrentScope.SubScopes.AddRange(orderedParents);
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| 125 |
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| 126 | double worstParentQuality = (orderedParents.Last().Variables[QualityParameter.ActualName].Value as DoubleValue).Value;
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| 127 |
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| 128 | var hasBetterQuality = Maximization.Value ? (Func<IScope, bool>)(x => { return (x.Variables[QualityParameter.ActualName].Value as DoubleValue).Value > worstParentQuality; }) :
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| 129 | (Func<IScope, bool>)(x => { return (x.Variables[QualityParameter.ActualName].Value as DoubleValue).Value < worstParentQuality; });
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| 130 |
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| 131 | // is there any offspring better than the worst parent?
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| 132 | if (orderedOffspring.Any(hasBetterQuality)) {
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| 133 | // produce the set union
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[8322] | 134 | var union = orderedParents.Union(orderedOffspring.Where(hasBetterQuality), SimilarityCalculator);
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[8086] | 135 | if (union.Count() > orderedParents.Count()) {
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[7789] | 136 | var orderedUnion = Maximization.Value ? union.OrderByDescending(x => x.Variables[QualityParameter.ActualName].Value) :
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| 137 | union.OrderBy(x => x.Variables[QualityParameter.ActualName].Value);
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[8086] | 138 | CurrentScope.SubScopes.Replace(orderedUnion.Take(ReferenceSetSize.Value));
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[7789] | 139 | NewSolutions.Value = true;
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| 140 | }
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| 141 | }
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| 142 |
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| 143 | return base.Apply();
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| 144 | }
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| 145 | }
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| 146 | }
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