#region License Information
/* HeuristicLab
* Copyright (C) 2002-2010 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 HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.RealVectorEncoding;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.TestFunctions.SingleObjective {
///
/// Matyas Function
/// Domain: [-10.0 , 10.0]^2
/// Optimum: 0.0 at (0.0, 0.0)
///
[Item("MatyasEvaluator", "Evaluates the Matyas function on a given point. The optimum of this function is 0 at the origin.")]
[StorableClass]
public class MatyasEvaluator : SingleObjectiveTestFunctionEvaluator {
///
/// Returns false as the Beale function is a minimization problem.
///
public override bool Maximization {
get { return false; }
}
///
/// Gets the optimum function value (0).
///
public override double BestKnownQuality {
get { return 0; }
}
///
/// Gets the lower and upper bound of the function.
///
public override DoubleMatrix Bounds {
get { return new DoubleMatrix(new double[,] { { -10, 10 } }); }
}
///
/// Gets the minimum problem size (2).
///
public override int MinimumProblemSize {
get { return 2; }
}
///
/// Gets the maximum problem size (2).
///
public override int MaximumProblemSize {
get { return 2; }
}
///
/// Evaluates the test function for a specific .
///
/// N-dimensional point for which the test function should be evaluated.
/// The result value of the Matyas function at the given point.
public static double Apply(RealVector point) {
return 0.26 * (point[0] * point[0] + point[1] * point[1]) - 0.48 * point[0] * point[1];
}
///
/// Evaluates the test function for a specific .
///
/// Calls .
/// N-dimensional point for which the test function should be evaluated.
/// The result value of the Matyas function at the given point.
protected override double EvaluateFunction(RealVector point) {
return Apply(point);
}
}
}