#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 PartiallyMatchedCrossover : 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[] numbersCopied = new bool[length]; int breakPoint1 = random.Next(length - 1); int breakPoint2 = random.Next(breakPoint1 + 1, length); for (int j = breakPoint1; j <= breakPoint2; j++) { // copy part of first permutation result[j] = parent1[j]; numbersCopied[result[j]] = true; } int index = breakPoint1; int i = (breakPoint1 == 0 ? (breakPoint2 + 1) : 0); while (i < length) { // copy rest from second permutation if (!numbersCopied[parent2[i]]) { // copy directly result[i] = parent2[i]; } else { // copy from area between breakpoints while (numbersCopied[parent2[index]]) { // find next valid index index++; } result[i] = parent2[index]; index++; } i++; if (i == breakPoint1) { // skip area between breakpoints i = breakPoint2 + 1; } } return result; } protected override int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2) { return Apply(random, parent1, parent2); } } }