[4045] | 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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[4068] | 22 | using HeuristicLab.Core;
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| 23 | using HeuristicLab.Data;
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[4045] | 24 | using HeuristicLab.Operators;
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[4068] | 25 | using HeuristicLab.Parameters;
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[4045] | 26 | using HeuristicLab.Selection;
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| 27 |
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| 28 | namespace HeuristicLab.Algorithms.NSGA2 {
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| 29 | public class RankAndCrowdingSorter : AlgorithmOperator {
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| 30 | public ValueLookupParameter<BoolArray> MaximizationParameter {
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| 31 | get { return (ValueLookupParameter<BoolArray>)Parameters["Maximization"]; }
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| 32 | }
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| 33 | public ScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
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| 34 | get { return (ScopeTreeLookupParameter<DoubleArray>)Parameters["Qualities"]; }
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| 35 | }
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| 36 | public ScopeTreeLookupParameter<IntValue> RankParameter {
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| 37 | get { return (ScopeTreeLookupParameter<IntValue>)Parameters["Rank"]; }
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| 38 | }
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| 39 | public ScopeTreeLookupParameter<DoubleValue> CrowdingDistanceParameter {
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| 40 | get { return (ScopeTreeLookupParameter<DoubleValue>)Parameters["CrowdingDistance"]; }
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| 41 | }
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| 42 |
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| 43 | public RankAndCrowdingSorter()
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| 44 | : base() {
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| 45 | Parameters.Add(new ValueLookupParameter<BoolArray>("Maximization", "For each objective a value that is true if that objective should be maximized, or false if it should be minimized."));
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| 46 | Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>("Qualities", "The vector of quality values."));
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| 47 | Parameters.Add(new ScopeTreeLookupParameter<IntValue>("Rank", "The rank of a solution (to which front it belongs)."));
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| 48 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>("CrowdingDistance", "The crowding distance of a solution in a population."));
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| 49 |
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| 50 | FastNonDominatedSort fastNonDominatedSort = new FastNonDominatedSort();
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| 51 | UniformSubScopesProcessor subScopesProcessor = new UniformSubScopesProcessor();
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| 52 | CrowdingDistanceAssignment crowdingDistanceAssignment = new CrowdingDistanceAssignment();
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| 53 | CrowdedComparisonSorter crowdedComparisonSorter = new CrowdedComparisonSorter();
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| 54 | MergingReducer mergingReducer = new MergingReducer();
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| 55 |
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| 56 | fastNonDominatedSort.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 57 | fastNonDominatedSort.QualitiesParameter.ActualName = QualitiesParameter.Name;
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| 58 | fastNonDominatedSort.RankParameter.ActualName = RankParameter.Name;
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| 59 |
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| 60 | crowdingDistanceAssignment.CrowdingDistanceParameter.ActualName = CrowdingDistanceParameter.Name;
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| 61 | crowdingDistanceAssignment.QualitiesParameter.ActualName = QualitiesParameter.Name;
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| 62 |
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| 63 | crowdedComparisonSorter.CrowdingDistanceParameter.ActualName = CrowdingDistanceParameter.Name;
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| 64 | crowdedComparisonSorter.RankParameter.ActualName = RankParameter.Name;
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| 65 |
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| 66 | OperatorGraph.InitialOperator = fastNonDominatedSort;
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| 67 | fastNonDominatedSort.Successor = subScopesProcessor;
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| 68 | subScopesProcessor.Operator = crowdingDistanceAssignment;
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| 69 | crowdingDistanceAssignment.Successor = crowdedComparisonSorter;
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| 70 | crowdedComparisonSorter.Successor = null;
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| 71 | subScopesProcessor.Successor = mergingReducer;
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| 72 | mergingReducer.Successor = null;
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| 73 | }
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| 74 | }
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| 75 | }
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