#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 between two permuation arrays
/// by taking a randomly chosen interval from the first, keeping the position,
/// then all positions from the second permutation which are still free in the child
/// (the position is free and the value is "free")
/// and then missing ones from the second array in the order they occur in the second array.
///
public class PartiallyMatchedCrossover : PermutationCrossoverBase {
///
public override string Description {
get { return @"TODO\r\nOperator description still missing ..."; }
}
///
/// Performs a cross over permuation of and
/// by taking a randomly chosen interval from , preserving the position,
/// then all positions from which are still free in the child
/// (the position is free and the value is "free")
/// and then missing ones from in the order they occur
/// in .
///
/// 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];
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;
}
///
/// Performs a partially matched crossover operation for two given parent permutations.
///
/// Thrown if there are not exactly two parents.
/// The current scope.
/// A random number generator.
/// An array containing the two permutations that should be crossed.
/// The newly created permutation, resulting from the crossover operation.
protected override int[] Cross(IScope scope, IRandom random, int[][] parents) {
if (parents.Length != 2) throw new InvalidOperationException("ERROR in PartiallyMatchedCrossover: The number of parents is not equal to 2");
return Apply(random, parents[0], parents[1]);
}
}
}