#region License Information /* HeuristicLab * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL) * * This file is part of HeuristicLab. * * HeuristicLab is free software: you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation, either version 3 of the License, or * (at your option) any later version. * * HeuristicLab is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with HeuristicLab. If not, see . */ #endregion using HeuristicLab.Common; using HeuristicLab.Core; using HeuristicLab.Data; using HeuristicLab.Operators; using HeuristicLab.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Problems.MultiObjectiveTestFunctions { [StorableClass] public abstract class MOTFAnalyzer : SingleSuccessorOperator, IMultiObjectiveTestFunctionAnalyzer { public bool EnabledByDefault { get { return true; } } public IScopeTreeLookupParameter QualitiesParameter { get { return (IScopeTreeLookupParameter)Parameters["Qualities"]; } } public ILookupParameter ResultsParameter { get { return (ILookupParameter)Parameters["Results"]; } } public ILookupParameter TestFunctionParameter { get { return (ILookupParameter)Parameters["TestFunction"]; } } public ILookupParameter BestKnownFrontParameter { get { return (ILookupParameter)Parameters["BestKnownFront"]; } } protected MOTFAnalyzer(MOTFAnalyzer original, Cloner cloner) : base(original, cloner) { } [StorableConstructor] protected MOTFAnalyzer(bool deserializing) : base(deserializing) { } protected MOTFAnalyzer() { Parameters.Add(new ScopeTreeLookupParameter("Qualities", "The qualities of the parameter vector.")); Parameters.Add(new LookupParameter("Results", "The results collection to write to.")); Parameters.Add(new LookupParameter("TestFunction", "The Testfunction that is analyzed")); Parameters.Add(new LookupParameter("BestKnownFront", "The currently best known Pareto front")); } } }