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Timestamp:
03/26/15 16:14:52 (9 years ago)
Author:
apolidur
Message:

#2221: Fixing MoveEvaluators after running unit tests

Location:
branches/PTSP/HeuristicLab.Problems.PTSP/3.3/MoveEvaluators
Files:
2 edited

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  • branches/PTSP/HeuristicLab.Problems.PTSP/3.3/MoveEvaluators/OneShift/PTSPEstimatedInsertionEvaluator.cs

    r12219 r12261  
    1 using HeuristicLab.Common;
     1#region License Information
     2/* HeuristicLab
     3 * Copyright (C) 2002-2015 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
     22using HeuristicLab.Common;
    223using HeuristicLab.Core;
    324using HeuristicLab.Data;
     
    728using System;
    829
    9 namespace HeuristicLab.Problems.PTSP.MoveEvaluators.OneShift {
    10   class PTSPEstimatedInsertionEvaluator : PTSPPathMoveEvaluator, IPermutationTranslocationMoveOperator {
     30namespace HeuristicLab.Problems.PTSP {
     31  [Item("PTSPEstimatedInsertionEvaluator", "Evaluates an insertion move (1-shift)")]
     32  [StorableClass]
     33  public class PTSPEstimatedInsertionEvaluator : PTSPPathMoveEvaluator, IPermutationTranslocationMoveOperator {
    1134
    1235    public override Type EvaluatorType {
    13       get { return typeof(PTSPEstimatedInversionMovePathEvaluator); }
     36      get { return typeof(PTSPEstimatedInsertionEvaluator); }
    1437    }
    1538    public ILookupParameter<TranslocationMove> TranslocationMoveParameter {
     
    5477
    5578    public static double EvaluateByDistanceMatrix(Permutation permutation, TranslocationMove move, DistanceMatrix distanceMatrix, ItemList<ItemList<IntValue>> realizations) {
    56       //permutation = new Permutation(PermutationTypes.Absolute, new int[]{0,1,2,3,4,5,6,7}); TODO remove test
    57       //move = new TranslocationMove(0, 0, 4); TODO remove test
     79      Permutation afterMove = new Permutation(PermutationTypes.RelativeUndirected,permutation);
     80      TranslocationManipulator.Apply(afterMove, move.Index1, move.Index1, move.Index3);
    5881      double moveQuality = 0;
    5982      int[] edges = new int[12];
    6083      int[] indices = new int[12];
    6184      edges[0] = permutation.GetCircular(move.Index1 - 1);
    62       edges[6] = edges[0];
    63       indices[0] = move.Index1-1;
    64       if (indices[0] == -1) indices[0] = permutation.Length - 1;
    65       indices[6] = indices[0];
     85      indices[0] = decreaseCircularIndex(permutation.Length, move.Index1);
    6686      edges[1] = permutation[move.Index1];
    6787      indices[1] = move.Index1;
    68       edges[2] = edges[1];
    69       indices[2] = indices[1];
    70       edges[9] = edges[1];
    71       indices[9] = indices[1];
    72       edges[10] = edges[1];
    73       indices[10] = indices[1];
     88      edges[2] = permutation[move.Index1];
     89      indices[2] = move.Index1;
    7490      edges[3] = permutation.GetCircular(move.Index1 + 1);
    75       edges[7] = edges[3];
    76       indices[3] = move.Index1+1;
    77       if (indices[3] == permutation.Length + 1) indices[3] = 0;
    78       indices[7] = indices[3];
    79       edges[4] = permutation[move.Index3];
    80       indices[4] = move.Index3;
    81       edges[8] = edges[4];
    82       indices[8] = indices[4];
    83       edges[5] = permutation.GetCircular(move.Index3 + 1);
    84       edges[11] = edges[5];
    85       indices[5] = move.Index3+1;
    86       if (indices[5] == permutation.Length + 1) indices[5] = 0;
    87       indices[11] = indices[5];
     91      indices[3] = increaseCircularIndex(permutation.Length, move.Index1);
     92
     93      edges[6] = afterMove.GetCircular(move.Index3 - 1);
     94      indices[6] = decreaseCircularIndex(afterMove.Length, move.Index3);
     95      edges[7] = afterMove[move.Index3];
     96      indices[7] = move.Index3;
     97      edges[8] = afterMove[move.Index3];
     98      indices[8] = move.Index3;
     99      edges[9] = afterMove.GetCircular(move.Index3 + 1);
     100      indices[9] = increaseCircularIndex(afterMove.Length, move.Index3);
     101
     102      if (move.Index3 > move.Index1) {
     103        edges[4] = permutation[move.Index3];
     104        indices[4] = move.Index3;
     105        edges[5] = permutation.GetCircular(move.Index3 + 1);
     106        indices[5] = indices[9];
     107        edges[10] = afterMove.GetCircular(move.Index1 - 1);
     108        indices[10] = indices[0];
     109        edges[11] = afterMove[move.Index1];
     110        indices[11] = move.Index1;
     111      } else {
     112        edges[4] = permutation.GetCircular(move.Index3 - 1);
     113        indices[4] = indices[6];
     114        edges[5] = permutation[move.Index3];
     115        indices[5] = move.Index3;
     116        edges[10] = afterMove[move.Index1];
     117        indices[10] = move.Index1;
     118        edges[11] = afterMove.GetCircular(move.Index1 + 1);
     119        indices[11] = indices[3];
     120      }
    88121      int[] aPosteriori = new int[12];
     122      Permutation tempPermutation;
    89123      foreach (ItemList<IntValue> realization in realizations) {
    90         //int[] realization2 = new int[] { 1, 0, 1, 1, 0, 0, 1, 1 }; TODO remove test
    91124        for (int i = 0; i < edges.Length; i++) {
     125          if (i < 6) {
     126            tempPermutation = permutation;
     127          } else {
     128            tempPermutation = afterMove;
     129          }
    92130          if (realization[edges[i]].Value == 1) {
    93131            aPosteriori[i] = edges[i];
     
    96134            if (i%2==0) {
    97135              // find nearest predecessor in realization if source edge
    98               while(realization[permutation.GetCircular(indices[i]-j)].Value == 0) {
    99                 j--;
     136              while (realization[tempPermutation.GetCircular(indices[i] - j)].Value == 0) {
     137                j++;
    100138              }
    101               aPosteriori[i] = permutation.GetCircular(indices[i] - j);
     139              aPosteriori[i] = tempPermutation.GetCircular(indices[i] - j);
    102140            } else {
    103141              // find nearest successor in realization if target edge
    104               while(realization[permutation.GetCircular(indices[i]+j)].Value == 0) {
     142              while (realization[tempPermutation.GetCircular(indices[i] + j)].Value == 0) {
    105143                j++;
    106144              }
    107               aPosteriori[i] = permutation.GetCircular(indices[i] + j);
     145              aPosteriori[i] = tempPermutation.GetCircular(indices[i] + j);
    108146            }
    109147          }
    110148        }
    111         // compute cost difference between the two a posteriori solutions
    112         moveQuality += distanceMatrix[aPosteriori[6], aPosteriori[7]] + distanceMatrix[aPosteriori[8], aPosteriori[9]] + distanceMatrix[aPosteriori[10], aPosteriori[11]];
    113         moveQuality -= distanceMatrix[aPosteriori[0], aPosteriori[1]] - distanceMatrix[aPosteriori[2], aPosteriori[3]] - distanceMatrix[aPosteriori[4], aPosteriori[5]];
     149        if (!(aPosteriori[0] == aPosteriori[2] && aPosteriori[1] == aPosteriori[3]) &&
     150          !(aPosteriori[0] == aPosteriori[4] && aPosteriori[1] == aPosteriori[5]) &&
     151          !(aPosteriori[2] == aPosteriori[4] && aPosteriori[3] == aPosteriori[5])) {
     152          // compute cost difference between the two a posteriori solutions
     153          moveQuality = moveQuality + distanceMatrix[aPosteriori[6], aPosteriori[7]] + distanceMatrix[aPosteriori[8], aPosteriori[9]] + distanceMatrix[aPosteriori[10], aPosteriori[11]];
     154          moveQuality = moveQuality - distanceMatrix[aPosteriori[0], aPosteriori[1]] - distanceMatrix[aPosteriori[2], aPosteriori[3]] - distanceMatrix[aPosteriori[4], aPosteriori[5]];
     155        }
     156        Array.Clear(aPosteriori, 0, aPosteriori.Length);
    114157      }
    115158      // return average of cost differences
    116       return moveQuality / realizations.Capacity;
     159      return Math.Abs(moveQuality) / realizations.Capacity;
     160    }
     161
     162    private static int decreaseCircularIndex(int length, int index) {
     163      int result = index - 1;
     164      if (result == -1) {
     165        result = length - 1;
     166      }
     167      return result;
     168    }
     169
     170    private static int increaseCircularIndex(int length, int index) {
     171      int result = index + 1;
     172      if (result == length + 1) {
     173        result = 0;
     174      }
     175      return result;
    117176    }
    118177
  • branches/PTSP/HeuristicLab.Problems.PTSP/3.3/MoveEvaluators/TwoOpt/PTSPEstimatedInversionMovePathEvaluator.cs

    r12219 r12261  
    100100              // find nearest predecessor in realization if source edge
    101101              while(realization[permutation.GetCircular(indices[i]-j)].Value==0) {
    102                 j--;
     102                j++;
    103103              }
    104104              aPosteriori[i] = permutation.GetCircular(indices[i] - j);
     
    113113        }
    114114        // compute cost difference between the two a posteriori solutions
    115         moveQuality += distanceMatrix[aPosteriori[0], aPosteriori[2]] + distanceMatrix[aPosteriori[1], aPosteriori[3]];
    116         moveQuality -= distanceMatrix[aPosteriori[0], aPosteriori[1]] - distanceMatrix[aPosteriori[2], aPosteriori[3]];
     115        if (!(aPosteriori[0] == aPosteriori[2] && aPosteriori[1] == aPosteriori[3])) {
     116          moveQuality = moveQuality + distanceMatrix[aPosteriori[0], aPosteriori[2]] + distanceMatrix[aPosteriori[1], aPosteriori[3]] - distanceMatrix[aPosteriori[0], aPosteriori[1]] - distanceMatrix[aPosteriori[2], aPosteriori[3]];
     117        }
     118        Array.Clear(aPosteriori, 0, aPosteriori.Length);
    117119      }
    118120      // return average of cost differences
    119       return moveQuality / realizations.Capacity;
     121      return Math.Abs(moveQuality) / realizations.Capacity;
    120122    }
    121123
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