1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)


4  *


5  * This file is part of HeuristicLab.


6  *


7  * HeuristicLab is free software: you can redistribute it and/or modify


8  * it under the terms of the GNU General Public License as published by


9  * the Free Software Foundation, either version 3 of the License, or


10  * (at your option) any later version.


11  *


12  * HeuristicLab is distributed in the hope that it will be useful,


13  * but WITHOUT ANY WARRANTY; without even the implied warranty of


14  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the


15  * GNU General Public License for more details.


16  *


17  * You should have received a copy of the GNU General Public License


18  * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.


19  */


20  #endregion


21 


22  using System;


23  using HeuristicLab.Core;


24  using HeuristicLab.Data;


25  using HeuristicLab.Encodings.RealVectorEncoding;


26  using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;


27 


28  namespace HeuristicLab.Problems.TestFunctions {


29  /// <summary>


30  /// Booth Function<br/>


31  /// Domain: [10.0 , 10.0]^2<br/>


32  /// Optimum: 0.0 at (1.0, 3.0)


33  /// </summary>


34  [Item("BoothEvaluator", "Evaluates the Booth function on a given point. The optimum of this function is 0 at (1,3).")]


35  [StorableClass]


36  public class BoothEvaluator : SingleObjectiveTestFunctionProblemEvaluator {


37  /// <summary>


38  /// Returns false as the Booth function is a minimization problem.


39  /// </summary>


40  public override bool Maximization {


41  get { return false; }


42  }


43  /// <summary>


44  /// Gets the optimum function value (0).


45  /// </summary>


46  public override double BestKnownQuality {


47  get { return 0; }


48  }


49  /// <summary>


50  /// Gets the lower and upper bound of the function.


51  /// </summary>


52  public override DoubleMatrix Bounds {


53  get { return new DoubleMatrix(new double[,] { { 10, 10 } }); }


54  }


55  /// <summary>


56  /// Gets the minimum problem size (2).


57  /// </summary>


58  public override int MinimumProblemSize {


59  get { return 2; }


60  }


61  /// <summary>


62  /// Gets the maximum problem size (2).


63  /// </summary>


64  public override int MaximumProblemSize {


65  get { return 2; }


66  }


67 


68  /// <summary>


69  /// Evaluates the test function for a specific <paramref name="point"/>.


70  /// </summary>


71  /// <param name="point">Ndimensional point for which the test function should be evaluated.</param>


72  /// <returns>The result value of the Booth function at the given point.</returns>


73  public static double Apply(RealVector point) {


74  return Math.Pow(point[0] + 2 * point[1]  7, 2) + Math.Pow(2 * point[0] + point[1]  5, 2);


75  }


76 


77  /// <summary>


78  /// Evaluates the test function for a specific <paramref name="point"/>.


79  /// </summary>


80  /// <remarks>Calls <see cref="Apply"/>.</remarks>


81  /// <param name="point">Ndimensional point for which the test function should be evaluated.</param>


82  /// <returns>The result value of the Booth function at the given point.</returns>


83  protected override double EvaluateFunction(RealVector point) {


84  return Apply(point);


85  }


86  }


87  }

