#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("PRVDiscreteCrossover", "Represents a crossover operation swapping sequences of the parents to generate offspring.")] [StorableType("79050109-0BDC-4EBE-A290-D32F99BB45D4")] public class PRVDiscreteCrossover : PRVCrossover { [StorableConstructor] protected PRVDiscreteCrossover(StorableConstructorFlag _) : base(_) { } protected PRVDiscreteCrossover(PRVDiscreteCrossover original, Cloner cloner) : base(original, cloner) { } public PRVDiscreteCrossover() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new PRVDiscreteCrossover(this, cloner); } public static PRVEncoding Apply(IRandom random, PRVEncoding parent1, PRVEncoding parent2) { return new PRVEncoding(DiscreteCrossover.Apply(random, new ItemArray(new IntegerVector[] { parent1.PriorityRulesVector, parent2.PriorityRulesVector })), parent1.NrOfRules); } public override PRVEncoding Cross(IRandom random, PRVEncoding parent1, PRVEncoding parent2) { return Apply(random, parent1, parent2); } } }