#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 MaximalPreservativeCrossover : 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]; bool[] numberCopied = new bool[length]; int breakPoint1, breakPoint2, subsegmentLength, index; if (length >= 20) { // length of subsegment must be >= 10 and <= length / 2 breakPoint1 = random.Next(length - 9); subsegmentLength = random.Next(10, Math.Min((int)(length / 2), length - breakPoint1) + 1); breakPoint2 = breakPoint1 + subsegmentLength - 1; } else { breakPoint1 = random.Next(length - 1); breakPoint2 = random.Next(breakPoint1 + 1, length); } index = 0; for (int i = breakPoint1; i <= breakPoint2; i++) { // copy part of first permutation result[index] = parent1[i]; numberCopied[result[index]] = true; index++; } for (int i = 0; i < parent2.Length; i++) { // copy remaining part of second permutation if (!numberCopied[parent2[i]]) { result[index] = parent2[i]; index++; } } return result; } protected override int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2) { return Apply(random, parent1, parent2); } } }