1  #region License Information


2  /* HeuristicLab


3  * Copyright (C) 20022012 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.Common;


24  using HeuristicLab.Core;


25  using HeuristicLab.Data;


26  using HeuristicLab.Encodings.RealVectorEncoding;


27  using HeuristicLab.Optimization.Operators;


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


29 


30  namespace HeuristicLab.Problems.TestFunctions {


31  /// <summary>


32  /// An operator that performs similarity calculation between two test functions solutions.


33  /// </summary>


34  [Item("SingleObjectiveTestFunctionSimilarityCalculator", "An operator that performs similarity calculation between two test functions solutions.")]


35  [StorableClass]


36  public sealed class SingleObjectiveTestFunctionSimilarityCalculator : SimilarityCalculator {


37  #region Properties


38  [Storable]


39  public DoubleMatrix Bounds { get; set; }


40  #endregion


41 


42  [StorableConstructor]


43  private SingleObjectiveTestFunctionSimilarityCalculator(bool deserializing) : base(deserializing) { }


44  private SingleObjectiveTestFunctionSimilarityCalculator(SingleObjectiveTestFunctionSimilarityCalculator original, Cloner cloner)


45  : base(original, cloner) {


46  this.Bounds = cloner.Clone(original.Bounds);


47  }


48  public SingleObjectiveTestFunctionSimilarityCalculator() : base() { }


49 


50  public override IDeepCloneable Clone(Cloner cloner) {


51  return new SingleObjectiveTestFunctionSimilarityCalculator(this, cloner);


52  }


53 


54  public static double CalculateSimilarity(RealVector left, RealVector right, DoubleMatrix bounds) {


55  if (left == null  right == null)


56  throw new ArgumentException("Cannot calculate similarity because one of the provided solutions or both are null.");


57  if (bounds == null)


58  throw new ArgumentException("Cannot calculate similarity because no bounds were provided.");


59 


60  double maxSum = 0.0;


61  for (int i = 0; i < left.Length; i++)


62  maxSum += Math.Pow(bounds[0, 0]  bounds[0, 1], 2);


63  double maxDistance = Math.Sqrt(maxSum) / left.Length;


64 


65  double sum = 0.0;


66  for (int i = 0; i < left.Length; i++)


67  sum += Math.Pow(left[i]  right[i], 2);


68  double distance = Math.Sqrt(sum) / left.Length;


69 


70  return 1.0  distance / maxDistance;


71  }


72 


73  protected override double CalculateSimilarity(IScope left, IScope right) {


74  RealVector sol1 = left.Variables[Target].Value as RealVector;


75  RealVector sol2 = right.Variables[Target].Value as RealVector;


76 


77  return CalculateSimilarity(sol1, sol2, Bounds);


78  }


79  }


80  }

