#region License Information /* HeuristicLab * Copyright (C) 2002-2019 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 HEAL.Attic; namespace HeuristicLab.Optimization { [Item("SingleObjectiveQualityTerminator", "A termination criterion which uses a quality parameter (eg. current best quality) for termination.")] [StorableType("A32469FB-7370-46E3-AB7F-EAF8053AF105")] public class SingleObjectiveQualityTerminator : ComparisonTerminator { [StorableConstructor] protected SingleObjectiveQualityTerminator(StorableConstructorFlag _) : base(_) { } protected SingleObjectiveQualityTerminator(SingleObjectiveQualityTerminator original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new SingleObjectiveQualityTerminator(this, cloner); } public SingleObjectiveQualityTerminator() { } public void Parameterize(IParameter qualityParameter, ISingleObjectiveHeuristicOptimizationProblem problem) { ComparisonValueParameter.ActualName = qualityParameter.Name; if (problem == null) return; var maximizationParameter = (IValueParameter)problem.MaximizationParameter; if (maximizationParameter != null) { bool maximization = maximizationParameter.Value.Value; ComparisonType = maximization ? ComparisonType.Less : ComparisonType.Greater; Threshold.Value = maximization ? double.MaxValue : double.MinValue; } } } }