| 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2018 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 HeuristicLab.Common;
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| 23 | using HeuristicLab.Core;
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| 24 | using HeuristicLab.Data;
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| 25 | using HeuristicLab.Operators;
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| 26 | using HeuristicLab.Optimization;
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| 27 | using HeuristicLab.Parameters;
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| 28 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 29 |
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| 30 |
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| 31 | namespace HeuristicLab.Problems.TestFunctions.MultiObjective {
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| 32 |
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| 33 | [StorableClass]
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| 34 | public abstract class MOTFAnalyzer : SingleSuccessorOperator, IMultiObjectiveTestFunctionAnalyzer {
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| 35 | public virtual bool EnabledByDefault { get { return true; } }
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| 36 |
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| 37 | public IScopeTreeLookupParameter<DoubleArray> QualitiesParameter {
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| 38 | get { return (IScopeTreeLookupParameter<DoubleArray>)Parameters["Qualities"]; }
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| 39 | }
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| 40 |
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| 41 | public ILookupParameter<ResultCollection> ResultsParameter {
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| 42 | get { return (ILookupParameter<ResultCollection>)Parameters["Results"]; }
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| 43 | }
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| 44 |
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| 45 | public ILookupParameter<IMultiObjectiveTestFunction> TestFunctionParameter {
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| 46 | get { return (ILookupParameter<IMultiObjectiveTestFunction>)Parameters["TestFunction"]; }
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| 47 | }
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| 48 |
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| 49 | public ILookupParameter<DoubleMatrix> BestKnownFrontParameter {
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| 50 | get { return (ILookupParameter<DoubleMatrix>)Parameters["BestKnownFront"]; }
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| 51 | }
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| 52 |
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| 53 | protected MOTFAnalyzer(MOTFAnalyzer original, Cloner cloner) : base(original, cloner) { }
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| 54 |
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| 55 | [StorableConstructor]
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| 56 | protected MOTFAnalyzer(bool deserializing) : base(deserializing) { }
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| 57 | protected MOTFAnalyzer() {
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| 58 | Parameters.Add(new ScopeTreeLookupParameter<DoubleArray>("Qualities", "The qualities of the parameter vector."));
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| 59 | Parameters.Add(new LookupParameter<ResultCollection>("Results", "The results collection to write to."));
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| 60 | Parameters.Add(new LookupParameter<IMultiObjectiveTestFunction>("TestFunction", "The Testfunction that is analyzed"));
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| 61 | Parameters.Add(new LookupParameter<DoubleMatrix>("BestKnownFront", "The currently best known Pareto front"));
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| 62 | }
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| 63 | }
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| 64 | }
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