source: branches/ParameterBinding/HeuristicLab.Problems.VehicleRouting/3.3/Encodings/Prins/Manipulators/PrinsExhaustiveLSManipulator.cs @ 13067

#region License Information
/* HeuristicLab
 * Copyright (C) 2002-2010 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
 *
 * This file is part of HeuristicLab.
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 * 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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 * GNU General Public License for more details.
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#endregion

using System.Collections.Generic;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;

namespace HeuristicLab.Problems.VehicleRouting.Encodings.Prins {
  [Item("PrinsExhaustiveLSManipulator", "An operator which manipulates a VRP representation by using the exhaustive Prins local search.  It is implemented as described in Prins, C. (2004). A simple and effective evolutionary algorithm for the vehicle routing problem. Computers & Operations Research, 12:1985-2002.")]
  [StorableClass]
  public sealed class PrinsExhaustiveLSManipulator : PrinsLSManipulator {   
    [StorableConstructor]
    private PrinsExhaustiveLSManipulator(bool deserializing) : base(deserializing) { }
    private PrinsExhaustiveLSManipulator(PrinsExhaustiveLSManipulator original, Cloner cloner) : base(original, cloner) { }
    public override IDeepCloneable Clone(Cloner cloner) {
      return new PrinsExhaustiveLSManipulator(this, cloner);
    }
    public PrinsExhaustiveLSManipulator()
      : base() {
    }

    protected override void Manipulate(IRandom random, PrinsEncoding individual) {
      List<Tour> tours = individual.GetTours(DistanceMatrixParameter);
      bool improvement = false;
      int iterations = 0;

      do {
        int u = depot;
        improvement = false;
        double originalQuality = GetQuality(individual);
        PrinsEncoding child = null;

        while (!improvement && u < Cities) {
          int v = depot;
          while (!improvement && v < Cities) {
            if (u != v) {
              child = Manipulate(individual,
                originalQuality, u, v);

              improvement = child != null;
            }
            v++;
          }
          u++;
        }

        if (improvement) {
          for (int i = 0; i < child.Length; i++) {
            individual[i] = child[i];
          }
        }

        iterations++;
      } while (improvement && 
        iterations < Iterations.Value.Value);
    }
  }
}