#region License Information /* HeuristicLab * Copyright (C) 2002-2018 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; namespace HeuristicLab.Encodings.PermutationEncoding { /// /// Manipulates a permutation array by swapping to randomly chosen elements. /// /// /// /// It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg. /// [Item("Swap2Manipulator", "An operator which manipulates a permutation array by swapping to randomly chosen elements. It is implemented as described in Eiben, A.E. and Smith, J.E. 2003. Introduction to Evolutionary Computation. Natural Computing Series, Springer-Verlag Berlin Heidelberg.")] [StorableClass] public class Swap2Manipulator : PermutationManipulator { [StorableConstructor] protected Swap2Manipulator(bool deserializing) : base(deserializing) { } protected Swap2Manipulator(Swap2Manipulator original, Cloner cloner) : base(original, cloner) { } public Swap2Manipulator() : base() { } public override IDeepCloneable Clone(Cloner cloner) { return new Swap2Manipulator(this, cloner); } /// /// Swaps two randomly chosen elements in the given permutation. /// /// The random number generator. /// The permutation to manipulate. public static void Apply(IRandom random, Permutation permutation) { int index1, index2; index1 = random.Next(permutation.Length); index2 = random.Next(permutation.Length); Apply(permutation, index1, index2); } public static void Apply(Permutation permutation, int index1, int index2) { permutation.Swap(index1, index2); } /// /// Swaps two randomly chosen elements in the given array. /// /// Calls . /// A random number generator. /// The permutation to manipulate. protected override void Manipulate(IRandom random, Permutation permutation) { Apply(random, permutation); } } }