[12142] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2015 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.Linq;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Operators;
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| 27 | using HeuristicLab.Optimization;
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| 28 | using HeuristicLab.Parameters;
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| 29 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 30 | using HeuristicLab.Random;
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| 31 |
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| 32 | namespace HeuristicLab.Algorithms.ALPS.SteadyState {
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| 33 | [Item("AlpsSsMover", "")]
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| 34 | [StorableClass]
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| 35 | public class AlpsSsMover : SingleSuccessorOperator, IStochasticOperator {
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[12174] | 36 | #region Parameter Properties
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[12162] | 37 | private ILookupParameter<IntValue> LayerParameter {
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| 38 | get { return (ILookupParameter<IntValue>)Parameters["Layer"]; }
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| 39 | }
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[12142] | 40 | private ILookupParameter<IntValue> TargetIndexParameter {
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| 41 | get { return (ILookupParameter<IntValue>)Parameters["TargetIndex"]; }
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| 42 | }
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[12174] | 43 | private ILookupParameter<IntValue> LayerSizeParameter {
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| 44 | get { return (ILookupParameter<IntValue>)Parameters["LayerSize"]; }
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[12142] | 45 | }
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| 46 | private ILookupParameter<IntValue> NumberOfLayersParameter {
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| 47 | get { return (ILookupParameter<IntValue>)Parameters["NumberOfLayers"]; }
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| 48 | }
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[12162] | 49 | private ILookupParameter<IScope> WorkingScopeParameter {
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| 50 | get { return (ILookupParameter<IScope>)Parameters["WorkingScope"]; }
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| 51 | }
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| 52 | private ILookupParameter<IScope> LayersParameter {
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| 53 | get { return (ILookupParameter<IScope>)Parameters["Layers"]; }
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| 54 | }
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[12142] | 55 | public ILookupParameter<IRandom> RandomParameter {
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| 56 | get { return (ILookupParameter<IRandom>)Parameters["Random"]; }
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| 57 | }
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[12174] | 58 | public IScopeTreeLookupParameter<DoubleValue> QualityParameter {
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| 59 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters["Quality"]; }
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| 60 | }
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| 61 | public ValueLookupParameter<BoolValue> MaximizationParameter {
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| 62 | get { return (ValueLookupParameter<BoolValue>)Parameters["Maximization"]; }
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| 63 | }
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| 64 | public IScopeTreeLookupParameter<IntValue> EvalsCreatedParameter {
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| 65 | get { return (IScopeTreeLookupParameter<IntValue>)Parameters["EvalsCreated"]; }
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| 66 | }
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| 67 | public IScopeTreeLookupParameter<IntValue> EvalsMovedQualityParameter {
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| 68 | get { return (IScopeTreeLookupParameter<IntValue>)Parameters["EvalsMoved"]; }
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| 69 | }
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| 70 | private ILookupParameter<IntValue> EvaluatedSolutionsParameter {
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| 71 | get { return (ILookupParameter<IntValue>)Parameters["EvaluatedSolutions"]; }
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| 72 | }
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| 73 | private ILookupParameter<IntArray> AgeLimitsParameter {
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| 74 | get { return (ILookupParameter<IntArray>)Parameters["AgeLimits"]; }
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| 75 | }
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| 76 | #endregion
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[12142] | 77 |
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| 78 | [StorableConstructor]
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| 79 | private AlpsSsMover(bool deserializing)
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| 80 | : base(deserializing) { }
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| 81 | private AlpsSsMover(AlpsSsMover original, Cloner cloner)
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| 82 | : base(original, cloner) { }
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| 83 | public override IDeepCloneable Clone(Cloner cloner) {
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| 84 | return new AlpsSsMover(this, cloner);
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| 85 | }
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| 86 |
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| 87 | public AlpsSsMover()
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| 88 | : base() {
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[12162] | 89 | Parameters.Add(new LookupParameter<IntValue>("Layer"));
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[12142] | 90 | Parameters.Add(new LookupParameter<IntValue>("TargetIndex"));
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[12174] | 91 | Parameters.Add(new LookupParameter<IntValue>("LayerSize"));
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[12142] | 92 | Parameters.Add(new LookupParameter<IntValue>("NumberOfLayers"));
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[12162] | 93 | Parameters.Add(new LookupParameter<IScope>("WorkingScope"));
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| 94 | Parameters.Add(new LookupParameter<IScope>("Layers"));
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[12142] | 95 | Parameters.Add(new LookupParameter<IRandom>("Random", "The random number generator to use."));
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[12174] | 96 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("Quality"));
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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 ScopeTreeLookupParameter<IntValue>("EvalsCreated"));
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| 99 | Parameters.Add(new ScopeTreeLookupParameter<IntValue>("EvalsMoved"));
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| 100 | Parameters.Add(new LookupParameter<IntValue>("EvaluatedSolutions"));
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| 101 | Parameters.Add(new LookupParameter<IntArray>("AgeLimits"));
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[12142] | 102 | }
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| 103 |
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[12162] | 104 | private int n;
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| 105 | private int m;
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[12174] | 106 | private int evals;
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| 107 | private int popSize;
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[12162] | 108 | private IScope layers;
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| 109 | private IRandom rand;
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[12174] | 110 | private string qualityVariableName;
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| 111 | private IntArray ageLimits;
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| 112 | private bool maximization;
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[12142] | 113 | public override IOperation Apply() {
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[12162] | 114 | int i = LayerParameter.ActualValue.Value;
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[12142] | 115 | int j = TargetIndexParameter.ActualValue.Value;
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[12162] | 116 | n = NumberOfLayersParameter.ActualValue.Value;
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[12174] | 117 | m = LayerSizeParameter.ActualValue.Value;
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| 118 | evals = EvaluatedSolutionsParameter.ActualValue.Value;
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| 119 | popSize = n * m;
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[12162] | 120 | rand = RandomParameter.ActualValue;
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[12174] | 121 | qualityVariableName = QualityParameter.TranslatedName;
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| 122 | ageLimits = AgeLimitsParameter.ActualValue;
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| 123 | maximization = MaximizationParameter.ActualValue.Value;
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[12142] | 124 |
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[12162] | 125 | layers = LayersParameter.ActualValue;
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| 126 | var newIndividual = (IScope)WorkingScopeParameter.ActualValue.Clone();
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| 127 | newIndividual.Name = j.ToString();
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[12142] | 128 |
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[12162] | 129 | TryMoveUp(i, j);
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| 130 | var currentLayer = layers.SubScopes[i];
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| 131 | currentLayer.SubScopes[j] = newIndividual;
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[12142] | 132 |
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| 133 | return base.Apply();
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| 134 | }
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[12162] | 135 | private void TryMoveUp(int i, int j) {
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| 136 | var currentLayer = layers.SubScopes[i];
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| 137 | var currentIndividual = currentLayer.SubScopes[j];
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| 138 | if (i < n - 1) {
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| 139 | var nextLayer = layers.SubScopes[i + 1];
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| 140 | int? k = FindReplaceable(nextLayer, currentIndividual);
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[12142] | 141 |
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[12162] | 142 | if (k.HasValue) {
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| 143 | TryMoveUp(i + 1, k.Value);
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| 144 | nextLayer.SubScopes[k.Value] = currentIndividual;
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[12142] | 145 | }
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| 146 | }
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| 147 | }
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[12174] | 148 | private int? FindReplaceable(IScope layer, IScope individualToReplace) {
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| 149 | int layerNumber = ((IntValue)layer.Variables["Layer"].Value).Value;
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| 150 |
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| 151 | var individuals = (
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| 152 | from individual in layer.SubScopes
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| 153 | let quality = ((DoubleValue)individual.Variables[qualityVariableName].Value).Value
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| 154 | let evalsCreated = ((IntValue)individual.Variables["EvalsCreated"].Value).Value
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| 155 | let age = (evals - evalsCreated) / popSize
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| 156 | select new { individual, quality, age }
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| 157 | ).Select((x, index) => new { index, x.individual, x.quality, x.age })
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| 158 | .ToList();
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| 159 |
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| 160 | var ageLimit = layerNumber < n - 1 ? ageLimits[layerNumber] : int.MaxValue;
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| 161 |
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| 162 | var toOldIndividual = individuals.FirstOrDefault(x => x.age >= ageLimit);
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| 163 | if (toOldIndividual != null)
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| 164 | return toOldIndividual.index;
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| 165 |
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| 166 | double replaceQuality = ((DoubleValue)individualToReplace.Variables[qualityVariableName].Value).Value;
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| 167 | var sortedIndividuals = maximization ? individuals.OrderBy(x => x.quality) : individuals.OrderByDescending(x => x.quality);
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| 168 | var worstIndividual = sortedIndividuals.FirstOrDefault(x => maximization ? x.quality < replaceQuality : x.quality > replaceQuality);
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| 169 | if (worstIndividual != null)
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| 170 | return worstIndividual.index;
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| 171 |
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[12162] | 172 | return Enumerable.Range(0, layer.SubScopes.Count).SampleRandom(rand);
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[12142] | 173 | }
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| 174 | }
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| 175 | } |
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