#region License Information /* HeuristicLab * Copyright (C) 2002-2015 Joseph Helm and 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.Persistence.Default.CompositeSerializers.Storable; using HeuristicLab.Problems.BinPacking; namespace HeuristicLab.Encodings.PackingEncoding.GroupingVector { [Item("Grouping Vector Crossover", "An operator which crosses two GroupingVector representations.")] [StorableClass] public abstract class GroupingVectorCrossover : PackingSolutionCrossover, IGroupingVectorOperator { [StorableConstructor] protected GroupingVectorCrossover(bool deserializing) : base(deserializing) { } protected GroupingVectorCrossover(GroupingVectorCrossover original, Cloner cloner) : base(original, cloner) { } public GroupingVectorCrossover() : base() { ParentsParameter.ActualName = "GroupingVector"; ChildParameter.ActualName = "GroupingVector"; } public abstract GroupingVectorEncoding Cross(IRandom random, GroupingVectorEncoding parent1, GroupingVectorEncoding parent2); public override IOperation Apply() { var parents = ParentsParameter.ActualValue; ChildParameter.ActualValue = Cross(RandomParameter.ActualValue, parents[0] as GroupingVectorEncoding, parents[1] as GroupingVectorEncoding); return base.Apply(); } } }