source: branches/2925_AutoDiffForDynamicalModels/HeuristicLab.Problems.TestFunctions.MultiObjective/3.3/Calculators/InvertedGenerationalDistance.cs @ 18078

#region License Information
/* HeuristicLab
 * Copyright (C) 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
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 * 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.
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 * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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#endregion
using System.Collections.Generic;

namespace HeuristicLab.Problems.TestFunctions.MultiObjective {

  /// <summary>
  /// The inverted generational Distance is defined as the mean of a all d[i]^(1/p),
  ///  where d[i] is the minimal distance the ith point of the optimal pareto front has to any point in the evaluated front.   
  /// </summary>
  public static class InvertedGenerationalDistance {
    public static double Calculate(IEnumerable<double[]> front, IEnumerable<double[]> optimalFront, double p) {
      return GenerationalDistance.Calculate(optimalFront, front, p);
    }
  }
}