#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.Evolutionary;
namespace HeuristicLab.Permutation {
///
/// Base class for all permutation crossover operators.
///
public abstract class PermutationCrossoverBase : CrossoverBase {
///
/// Initializes a new instance of with one variable info
/// (Permutation).
///
public PermutationCrossoverBase()
: base() {
AddVariableInfo(new VariableInfo("Permutation", "Parent and child permutations", typeof(Permutation), VariableKind.In | VariableKind.New));
}
///
/// Performs a crossover by calling
/// and adds the created permutation to the current scope.
///
/// Thrown if the parents have different lengths.
/// The current scope which represents a new child.
/// A random number generator.
protected sealed override void Cross(IScope scope, IRandom random) {
int[][] parents = new int[scope.SubScopes.Count][];
int length = -1;
for (int i = 0; i < scope.SubScopes.Count; i++) {
parents[i] = scope.SubScopes[i].GetVariableValue("Permutation", false).Data;
if (i == 0) length = parents[i].Length;
else if (parents[i].Length != length) throw new InvalidOperationException("ERROR in PermutationCrossoverBase: Cannot apply crossover to permutations of different length");
}
int[] result = Cross(scope, random, parents);
scope.AddVariable(new Variable(scope.TranslateName("Permutation"), new Permutation(result)));
}
///
/// Performs a crossover of multiple permutations.
///
/// The current scope.
/// A random number generator.
/// An array containing all parent permutations.
/// The newly created permutation, resulting from the crossover operation.
protected abstract int[] Cross(IScope scope, IRandom random, int[][] parents);
}
}