#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 cross over permutations.
///
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 cross over permutation of and with
/// the given random number generator () to create a new
/// .
///
/// Thrown when the two permutations have a different
/// length.
/// Calls .
/// The scope where to get the actual child variable name.
/// The random number generator.
/// The parent scope 1 to cross over.
/// The parent scope 2 to cross over.
/// The child scope which to assign the permutated data.
protected sealed override void Cross(IScope scope, IRandom random, IScope parent1, IScope parent2, IScope child) {
Permutation perm1 = parent1.GetVariableValue("Permutation", false);
Permutation perm2 = parent2.GetVariableValue("Permutation", false);
if (perm1.Data.Length != perm2.Data.Length) throw new InvalidOperationException("Cannot apply crossover to permutations of different length.");
int[] result = Cross(scope, random, perm1.Data, perm2.Data);
child.AddVariable(new Variable(scope.TranslateName("Permutation"), new Permutation(result)));
}
///
/// Performs a cross over permutation of and with
/// the given random number generator () .
///
/// The scope of the variables.
/// 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 abstract int[] Cross(IScope scope, IRandom random, int[] parent1, int[] parent2);
}
}