#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 { /// /// Performs a cross over permutation of two permutation arrays by taking randomly a selection of values /// (not an interval!) from the first permutation keeping the correct order and filling /// the missing entries with the elements from the second permutation, also in the right order. /// public class OrderBasedCrossover : PermutationCrossoverBase { /// public override string Description { get { return @"TODO\r\nOperator description still missing ..."; } } /// /// Performs a cross over permutation of and by /// randomly selecting some values from the first permutation that will be inserted one after each /// other; the missing ones are picked in the correct order from the second permutation. /// /// The random number generator. /// The parent scope 1 to cross over. /// The parent scope 2 to cross over. /// The created cross over permutation as int array. public static int[] Apply(IRandom random, int[] parent1, int[] parent2) { int length = parent1.Length; int[] result = new int[length]; int[] selectedNumbers = new int[random.Next(length + 1)]; bool[] numberSelected = new bool[length]; int index, selectedIndex, currentIndex; for (int i = 0; i < selectedNumbers.Length; i++) { // select numbers for array index = 0; while (numberSelected[parent1[index]]) { // find first valid index index++; } selectedIndex = random.Next(length - i); currentIndex = 0; while ((index < parent1.Length) && (currentIndex != selectedIndex)) { // find selected number index++; if (!numberSelected[parent1[index]]) { currentIndex++; } } numberSelected[parent1[index]] = true; } index = 0; for (int i = 0; i < parent1.Length; i++) { // copy selected numbers in array if (numberSelected[parent1[i]]) { selectedNumbers[index] = parent1[i]; index++; } } index = 0; for (int i = 0; i < result.Length; i++) { // copy rest of second permutation and selected numbers in order of first permutation if (numberSelected[parent2[i]]) { result[i] = selectedNumbers[index]; index++; } else { result[i] = parent2[i]; } } return result; } /// /// Performs a cross over permutation of and by /// randomly selecting some values from the first permutation that will be inserted one after each /// other; the missing ones are picked in the correct order from the second permutation. /// /// Calls . /// The current scope. /// The random number generator. /// The parent scope 1 to cross over. /// The parent scope 2 to cross over. /// The created cross over permutation as int array. protected override int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2) { return Apply(random, parent1, parent2); } } }