#region License Information
/* HeuristicLab
* Copyright (C) 2002-2015 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 .
*/
#endregion
using System;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.Encodings.PermutationEncoding;
using HeuristicLab.Parameters;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
namespace HeuristicLab.Problems.QuadraticAssignment {
[Item("QAPInversionMoveEvaluator", "Evaluated an inversion move on a QAP solution.")]
[StorableType("EFA8743E-7084-4FE7-9838-5ECBC7432B94")]
public class QAPInversionMoveEvaluator : QAPMoveEvaluator, IPermutationInversionMoveOperator {
public ILookupParameter InversionMoveParameter {
get { return (ILookupParameter)Parameters["InversionMove"]; }
}
[StorableConstructor]
protected QAPInversionMoveEvaluator(bool deserializing) : base(deserializing) { }
protected QAPInversionMoveEvaluator(QAPInversionMoveEvaluator original, Cloner cloner)
: base(original, cloner) {
}
public QAPInversionMoveEvaluator() {
Parameters.Add(new LookupParameter("InversionMove", "The move to evaluate."));
}
public override IDeepCloneable Clone(Cloner cloner) {
return new QAPInversionMoveEvaluator(this, cloner);
}
public static double Apply(Permutation assignment, InversionMove move, DoubleMatrix weights, DoubleMatrix distances) {
if (move.Index1 == move.Index2) return 0;
double moveQuality = 0;
int min = Math.Min(move.Index1, move.Index2);
int max = Math.Max(move.Index1, move.Index2);
for (int i = min; i <= max; i++) {
int locI = assignment[i];
int newlocI = assignment[max - i + min];
for (int j = 0; j < assignment.Length; j++) {
int locJ = assignment[j];
if (j >= min && j <= max) {
int newlocJ = assignment[max - j + min];
moveQuality += weights[i, j] * (distances[newlocI, newlocJ] - distances[locI, locJ]);
} else {
moveQuality += weights[i, j] * (distances[newlocI, locJ] - distances[locI, locJ]);
moveQuality += weights[j, i] * (distances[locJ, newlocI] - distances[locJ, locI]);
}
}
}
return moveQuality;
}
public override IOperation Apply() {
InversionMove move = InversionMoveParameter.ActualValue;
if (move == null) throw new InvalidOperationException("Inversion move is not found.");
Permutation assignment = PermutationParameter.ActualValue;
DoubleMatrix distances = DistancesParameter.ActualValue;
DoubleMatrix weights = WeightsParameter.ActualValue;
double moveQuality = QualityParameter.ActualValue.Value;
moveQuality += Apply(assignment, move, weights, distances);
MoveQualityParameter.ActualValue = new DoubleValue(moveQuality);
return base.Apply();
}
}
}