[16876] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[17226] | 3 | * Copyright (C) Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[16876] | 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 HEAL.Attic;
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| 24 | using HeuristicLab.Analysis;
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| 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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[17544] | 27 | using HeuristicLab.Data;
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[16876] | 28 | using HeuristicLab.Optimization;
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[17544] | 29 | using HeuristicLab.Parameters;
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[16876] | 30 |
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| 31 | namespace HeuristicLab.Encodings.BinaryVectorEncoding {
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| 32 | [StorableType("b64caac0-a23a-401a-bb7e-ffa3e22b80ea")]
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| 33 | public abstract class BinaryVectorMultiObjectiveProblem : MultiObjectiveProblem<BinaryVectorEncoding, BinaryVector> {
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[17522] | 34 | [Storable] protected IResultParameter<ParetoFrontScatterPlot<BinaryVector>> BestResultParameter { get; private set; }
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[17594] | 35 | //public IResultDefinition<ParetoFrontScatterPlot<BinaryVector>> BestResult { get { return BestResultParameter; }}
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[17544] | 36 | [Storable] protected ReferenceParameter<IntValue> DimensionRefParameter { get; private set; }
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[17522] | 37 |
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[17544] | 38 | public int Dimension {
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[17567] | 39 | get { return DimensionRefParameter.Value.Value; }
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[17570] | 40 | protected set { DimensionRefParameter.Value.Value = value; }
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[16876] | 41 | }
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| 42 |
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| 43 | [StorableConstructor]
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| 44 | protected BinaryVectorMultiObjectiveProblem(StorableConstructorFlag _) : base(_) { }
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| 45 | [StorableHook(HookType.AfterDeserialization)]
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| 46 | private void AfterDeserialization() {
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| 47 | RegisterEventHandlers();
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| 48 | }
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| 49 |
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| 50 | protected BinaryVectorMultiObjectiveProblem(BinaryVectorMultiObjectiveProblem original, Cloner cloner)
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| 51 | : base(original, cloner) {
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[17522] | 52 | BestResultParameter = cloner.Clone(original.BestResultParameter);
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[17544] | 53 | DimensionRefParameter = cloner.Clone(original.DimensionRefParameter);
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[16876] | 54 | RegisterEventHandlers();
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| 55 | }
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| 56 |
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[16948] | 57 | protected BinaryVectorMultiObjectiveProblem() : this(new BinaryVectorEncoding() { Length = 10 }) { }
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| 58 | protected BinaryVectorMultiObjectiveProblem(BinaryVectorEncoding encoding) : base(encoding) {
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| 59 | EncodingParameter.ReadOnly = true;
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[17522] | 60 | Parameters.Add(BestResultParameter = new ResultParameter<ParetoFrontScatterPlot<BinaryVector>>("Best Pareto Front", "The best Pareto front found."));
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[17544] | 61 | Parameters.Add(DimensionRefParameter = new ReferenceParameter<IntValue>("Dimension", "The dimension of the binary vector problem.", Encoding.LengthParameter));
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[16876] | 62 |
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| 63 | Operators.Add(new HammingSimilarityCalculator());
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| 64 | Operators.Add(new PopulationSimilarityAnalyzer(Operators.OfType<ISolutionSimilarityCalculator>()));
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| 65 |
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| 66 | Parameterize();
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| 67 | RegisterEventHandlers();
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| 68 | }
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| 69 |
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| 70 | public override void Analyze(BinaryVector[] individuals, double[][] qualities, ResultCollection results, IRandom random) {
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| 71 | base.Analyze(individuals, qualities, results, random);
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[17230] | 72 |
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| 73 | var fronts = DominationCalculator.CalculateAllParetoFrontsIndices(individuals, qualities, Maximization);
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| 74 | var plot = new ParetoFrontScatterPlot<BinaryVector>(fronts, individuals, qualities, Objectives, BestKnownFront);
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[17594] | 75 |
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[17522] | 76 | BestResultParameter.ActualValue = plot;
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[16876] | 77 | }
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| 78 |
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| 79 | protected override void OnEncodingChanged() {
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| 80 | base.OnEncodingChanged();
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| 81 | Parameterize();
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| 82 | }
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| 83 |
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| 84 | private void Parameterize() {
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| 85 | foreach (var similarityCalculator in Operators.OfType<ISolutionSimilarityCalculator>()) {
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| 86 | similarityCalculator.SolutionVariableName = Encoding.Name;
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| 87 | similarityCalculator.QualityVariableName = Evaluator.QualitiesParameter.ActualName;
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| 88 | }
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| 89 | }
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| 90 |
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| 91 | private void RegisterEventHandlers() {
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[17567] | 92 | IntValueParameterChangeHandler.Create(DimensionRefParameter, DimensionOnChanged);
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[16876] | 93 | }
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| 94 |
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[17544] | 95 | protected virtual void DimensionOnChanged() { }
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[16876] | 96 | }
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| 97 | }
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