#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.TestFunctions.MultiObjective {
[StorableClass]
public abstract class MOTFAnalyzer : SingleSuccessorOperator, IMultiObjectiveTestFunctionAnalyzer {
public virtual 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"));
}
}
}