#region License Information /* HeuristicLab * Copyright (C) 2002-2015 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.Optimization; using HeuristicLab.Parameters; using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; namespace HeuristicLab.Selection { [Item("WorstReplacer", "Replaces the worst sub-scopes of the remaining scope with all those (or the best if there are more) from the selected scope.")] [StorableType("4B129504-673C-427E-A054-255A2EF8CE8E")] public sealed class WorstReplacer : Replacer, ISingleObjectiveReplacer { public override bool CanChangeName { get { return false; } } public override bool CanChangeDescription { get { return false; } } public ILookupParameter> QualityParameter { get { return (ILookupParameter>)Parameters["Quality"]; } } public IValueLookupParameter MaximizationParameter { get { return (IValueLookupParameter)Parameters["Maximization"]; } } [StorableConstructor] private WorstReplacer(bool deserializing) : base(deserializing) { } private WorstReplacer(WorstReplacer original, Cloner cloner) : base(original, cloner) { } public override IDeepCloneable Clone(Cloner cloner) { return new WorstReplacer(this, cloner); } public WorstReplacer() : base() { Parameters.Add(new ScopeTreeLookupParameter("Quality", "The quality of a solution.")); Parameters.Add(new ValueLookupParameter("Maximization", "True if the problem is a maximization problem, otherwise false.")); WorstSelector worstSelector = new WorstSelector(); worstSelector.MaximizationParameter.ActualName = MaximizationParameter.Name; worstSelector.QualityParameter.ActualName = QualityParameter.Name; ReplacedSelectorParameter.Value = worstSelector; ReplacedSelectorParameter.Hidden = true; BestSelector bestSelector = new BestSelector(); bestSelector.MaximizationParameter.ActualName = MaximizationParameter.Name; bestSelector.QualityParameter.ActualName = QualityParameter.Name; SelectedSelectorParameter.Value = bestSelector; SelectedSelectorParameter.Hidden = true; } } }