#region License Information /* HeuristicLab * Copyright (C) 2002-2008 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 System; using System.Collections.Generic; using System.Text; using HeuristicLab.Core; using HeuristicLab.Evolutionary; namespace HeuristicLab.Permutation { /// /// Base class for all permutation crossover operators. /// public abstract class PermutationCrossoverBase : CrossoverBase { /// /// Initializes a new instance of with one variable info /// (Permutation). /// public PermutationCrossoverBase() : base() { AddVariableInfo(new VariableInfo("Permutation", "Parent and child permutations", typeof(Permutation), VariableKind.In | VariableKind.New)); } /// /// Performs a crossover by calling /// and adds the created permutation to the current scope. /// /// Thrown if the parents have different lengths. /// The current scope which represents a new child. /// A random number generator. protected sealed override void Cross(IScope scope, IRandom random) { int[][] parents = new int[scope.SubScopes.Count][]; int length = -1; for (int i = 0; i < scope.SubScopes.Count; i++) { parents[i] = scope.SubScopes[i].GetVariableValue("Permutation", false).Data; if (i == 0) length = parents[i].Length; else if (parents[i].Length != length) throw new InvalidOperationException("ERROR in PermutationCrossoverBase: Cannot apply crossover to permutations of different length"); } int[] result = Cross(scope, random, parents); scope.AddVariable(new Variable(scope.TranslateName("Permutation"), new Permutation(result))); } /// /// Performs a crossover of multiple permutations. /// /// The current scope. /// A random number generator. /// An array containing all parent permutations. /// The newly created permutation, resulting from the crossover operation. protected abstract int[] Cross(IScope scope, IRandom random, int[][] parents); } }