1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 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.Linq;


23  using System.Threading;


24  using HEAL.Attic;


25  using HeuristicLab.Common;


26  using HeuristicLab.Core;


27  using HeuristicLab.Data;


28  using HeuristicLab.Encodings.BinaryVectorEncoding;


29  using HeuristicLab.Optimization;


30 


31  namespace HeuristicLab.Problems.Binary {


32  [Item("One Max Problem", "Represents a problem whose objective is to maximize the number of true values.")]


33  [Creatable(CreatableAttribute.Categories.CombinatorialProblems, Priority = 210)]


34  [StorableType("A290ADDE33F54607ABC019349CD0FBF1")]


35  public class OneMaxProblem : BinaryVectorProblem {


36 


37  public OneMaxProblem() : base() {


38  Maximization = true;


39  DimensionRefParameter.ForceValue(new IntValue(10, @readonly: false));


40  BestKnownQuality = Dimension;


41  }


42 


43  public override ISingleObjectiveEvaluationResult Evaluate(BinaryVector vector, IRandom random, CancellationToken cancellationToken) {


44  var quality = vector.Count(b => b);


45  return new SingleObjectiveEvaluationResult(quality);


46  }


47 


48  [StorableConstructor]


49  protected OneMaxProblem(StorableConstructorFlag _) : base(_) { }


50  protected OneMaxProblem(OneMaxProblem original, Cloner cloner) : base(original, cloner) { }


51  public override IDeepCloneable Clone(Cloner cloner) {


52  return new OneMaxProblem(this, cloner);


53  }


54 


55  protected override void DimensionOnChanged() {


56  base.DimensionOnChanged();


57  BestKnownQuality = Dimension;


58  }


59  }


60  }

