source: branches/QAPAlgorithms/HeuristicLab.Problems.QuadraticAssignment/3.3/QAPPermutationProximityCalculator.cs @ 6416

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2011 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 <http://www.gnu.org/licenses/>.
 */
#endregion

using System.Collections.Generic;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PermutationEncoding;

namespace HeuristicLab.Problems.QuadraticAssignment {
  public static class QAPPermutationProximityCalculator {

    public static double CalculateGenotypeSimilarity(Permutation a, Permutation b) {
      int similar = 0;
      for (int i = 0; i < a.Length; i++) {
        if (a[i] == b[i]) similar++;
      }
      return similar / (double)a.Length;
    }

    public static double CalculateGenotypeDistance(Permutation a, Permutation b) {
      return 1.0 - CalculateGenotypeSimilarity(a, b);
    }

    public static double CalculatePhenotypeSimilarity(Permutation a, Permutation b, DoubleMatrix weights, DoubleMatrix distances) {
      return 1.0 - CalculatePhenotypeDistance(a, b, weights, distances);
    }

    public static double CalculatePhenotypeDistance(Permutation a, Permutation b, DoubleMatrix weights, DoubleMatrix distances) {
      Dictionary<string, int> alleles = new Dictionary<string, int>();
      int distance = 0;
      for (int x = 0; x < a.Length; x++) {
        for (int y = 0; y < a.Length; y++) {
          string alleleA = weights[x, y].ToString() + ">" + distances[a[x], a[y]].ToString();
          string alleleB = weights[x, y].ToString() + ">" + distances[b[x], b[y]].ToString();
          if (alleleA == alleleB) continue;

          int countA = 1, countB = -1;
          if (alleles.ContainsKey(alleleA)) countA += alleles[alleleA];
          if (alleles.ContainsKey(alleleB)) countB += alleles[alleleB];

          if (countA <= 0) distance--; // we've found in A an allele that was present in B
          else distance++; // we've found in A a new allele
          alleles[alleleA] = countA;

          if (countB >= 0) distance--; // we've found in B an allele that was present in A
          else distance++; // we've found in B a new allele
          alleles[alleleB] = countB;
        }
      }
      return distance / (double)(2 * a.Length * a.Length);
    }
  }
}