#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; using HeuristicLab.Problems.VehicleRouting.Variants; namespace HeuristicLab.Problems.VehicleRouting.Encodings.Zhu { [Item("ZhuMergeCrossover1", "The Zhu Merge Crossover (Version 1). It is implemented as described in Zhu, K.Q. (2000). A New Genetic Algorithm For VRPTW. Proceedings of the International Conference on Artificial Intelligence.")] [StorableType("3DF02AC1-B4F2-41C3-83E3-C587EBE70DEF")] public sealed class ZhuMergeCrossover1 : ZhuCrossover { [StorableConstructor] private ZhuMergeCrossover1(StorableConstructorFlag _) : base(_) { } public ZhuMergeCrossover1() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new ZhuMergeCrossover1(this, cloner); } private ZhuMergeCrossover1(ZhuMergeCrossover1 original, Cloner cloner) : base(original, cloner) { } private void Swap(ZhuEncoding individual, int city1, int city2) { int index1 = individual.IndexOf(city1); int index2 = individual.IndexOf(city2); int temp = individual[index1]; individual[index1] = individual[index2]; individual[index2] = temp; } protected override ZhuEncoding Crossover(IRandom random, ZhuEncoding parent1, ZhuEncoding parent2) { parent1 = parent1.Clone() as ZhuEncoding; parent2 = parent2.Clone() as ZhuEncoding; ZhuEncoding child = parent2.Clone() as ZhuEncoding; if (parent1.Length != parent2.Length) return child; int breakPoint = random.Next(child.Length); int i = breakPoint; DoubleArray dueTime = null; if (ProblemInstance is ITimeWindowedProblemInstance) { dueTime = (ProblemInstance as ITimeWindowedProblemInstance).DueTime; } do { if (i == breakPoint) { child[i] = parent1[i]; Swap(parent2, parent2[i], parent1[i]); } else { if ( (dueTime != null) && (dueTime[parent1[i] + 1] < dueTime[parent2[i] + 1])) { child[i] = parent1[i]; Swap(parent2, parent2[i], parent1[i]); } else { child[i] = parent2[i]; Swap(parent1, parent1[i], parent2[i]); } } i = (i + 1) % child.Length; } while (i != breakPoint); return child; } } }