#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;
}
}
}
}