#region License Information /* HeuristicLab * Copyright (C) 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.Encodings.IntegerVectorEncoding; using HEAL.Attic; namespace HeuristicLab.Encodings.ScheduleEncoding.PriorityRulesVector { [Item("PRVSinglePointCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")] [StorableType("7E148F4E-1993-44B5-B466-E1E441203498")] public class PRVSinglePointCrossover : PRVCrossover { [StorableConstructor] protected PRVSinglePointCrossover(StorableConstructorFlag _) : base(_) { } protected PRVSinglePointCrossover(PRVSinglePointCrossover original, Cloner cloner) : base(original, cloner) { } public PRVSinglePointCrossover() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new PRVSinglePointCrossover(this, cloner); } public static PRVEncoding Apply(IRandom random, PRVEncoding parent1, PRVEncoding parent2) { return new PRVEncoding(SinglePointCrossover.Apply(random, parent1.PriorityRulesVector, parent2.PriorityRulesVector), parent1.NrOfRules); } public override PRVEncoding Cross(IRandom random, PRVEncoding parent1, PRVEncoding parent2) { return Apply(random, parent1, parent2); } } }