#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.Data; namespace HeuristicLab.Permutation { public class CosaCrossover : PermutationCrossoverBase { public override string Description { get { return @"TODO\r\nOperator description still missing ..."; } } public static int[] Apply(IRandom random, int[] parent1, int[] parent2) { int length = parent1.Length; int[] result = new int[length]; int crossPoint, startIndex, endIndex; crossPoint = random.Next(length); startIndex = (crossPoint + 1) % length; int i = 0; while ((i < parent2.Length) && (parent2[i] != parent1[startIndex])) { // find index of start value in second permutation i++; } i = (i + 1) % length; int j = 0; while ((j < parent1.Length) && (parent1[j] != parent2[i])) { // find index of parent2[i] in first permutation j++; } endIndex = (j - 1 + length) % length; i = endIndex; j = 0; do { // permutation from end to crosspoint (backwards) result[j] = parent1[i]; i = (i - 1 + length) % length; j++; } while (i != crossPoint); i = (endIndex + 1) % length; while (i != crossPoint) { // permutation from end to crosspoint (forwards) result[j] = parent1[i]; i = (i + 1) % length; j++; } result[j] = parent1[crossPoint]; // last station: crosspoint return result; } protected override int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2) { return Apply(random, parent1, parent2); } } }