[3642] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2010 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.Linq;
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| 25 | using System.Text;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Core;
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| 29 | using HeuristicLab.Operators;
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| 30 | using HeuristicLab.Encodings.BinaryVectorEncoding;
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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.OneMax.Analyzers {
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| 35 | /// <summary>
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| 36 | /// An operator for analyzing the best solution for a OneMax problem.
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| 37 | /// </summary>
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| 38 | [Item("PopulationBestOneMaxSolutionAnalyzer", "An operator for analyzing the best solution for a OneMax problem.")]
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| 39 | [StorableClass]
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[3658] | 40 | class PopulationBestOneMaxSolutionAnalyzer : SingleSuccessorOperator, IBestOneMaxSolutionAnalyzer, IAnalyzer {
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[3642] | 41 |
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| 42 | public ILookupParameter<ItemArray<BinaryVector>> BinaryVectorParameter {
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| 43 | get { return (ILookupParameter<ItemArray<BinaryVector>>)Parameters["BinaryVector"]; }
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| 44 | }
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| 45 | ILookupParameter IBestOneMaxSolutionAnalyzer.BinaryVectorParameter {
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| 46 | get { return BinaryVectorParameter; }
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| 47 | }
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| 48 | public ILookupParameter<ItemArray<DoubleValue>> QualityParameter {
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| 49 | get { return (ILookupParameter<ItemArray<DoubleValue>>)Parameters["Quality"]; }
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| 50 | }
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| 51 | ILookupParameter IBestOneMaxSolutionAnalyzer.QualityParameter {
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| 52 | get { return QualityParameter; }
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| 53 | }
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| 54 | public ILookupParameter<OneMaxSolution> BestSolutionParameter {
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| 55 | get { return (ILookupParameter<OneMaxSolution>)Parameters["BestSolution"]; }
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| 56 | }
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| 57 | public IValueLookupParameter<ResultCollection> ResultsParameter {
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| 58 | get { return (IValueLookupParameter<ResultCollection>)Parameters["Results"]; }
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| 59 | }
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| 60 |
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| 61 | public PopulationBestOneMaxSolutionAnalyzer()
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| 62 | : base() {
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| 63 | Parameters.Add(new SubScopesLookupParameter<BinaryVector>("BinaryVector", "The Onemax solutions from which the best solution should be visualized."));
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| 64 |
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| 65 | Parameters.Add(new SubScopesLookupParameter<DoubleValue>("Quality", "The qualities of the Onemax solutions which should be visualized."));
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| 66 | Parameters.Add(new LookupParameter<OneMaxSolution>("BestSolution", "The best Onemax solution."));
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| 67 | Parameters.Add(new ValueLookupParameter<ResultCollection>("Results", "The result collection where the Onemax solution should be stored."));
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| 68 | }
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| 69 |
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| 70 | public override IOperation Apply() {
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| 71 | ItemArray<BinaryVector> binaryVectors = BinaryVectorParameter.ActualValue;
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| 72 | ItemArray<DoubleValue> qualities = QualityParameter.ActualValue;
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| 73 | ResultCollection results = ResultsParameter.ActualValue;
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| 74 |
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| 75 | int i = qualities.Select((x, index) => new { index, x.Value }).OrderBy(x => x.Value).First().index;
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| 76 | OneMaxSolution solution = BestSolutionParameter.ActualValue;
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| 77 | if (solution == null) {
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| 78 | solution = new OneMaxSolution(binaryVectors[i], QualityParameter.ActualValue[i]);
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| 79 | BestSolutionParameter.ActualValue = solution;
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| 80 |
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| 81 | results.Add(new Result("Best OneMax Solution", solution));
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| 82 | } else {
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| 83 | solution.BinaryVector = binaryVectors[i];
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| 84 | solution.Quality = QualityParameter.ActualValue[i];
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| 85 |
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| 86 | results["Best OneMax Solution"].Value = solution;
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| 87 | }
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| 88 |
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| 89 | return base.Apply();
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| 90 | }
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| 91 | }
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| 92 | }
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