lemon/opt2_tsp.h
author Alpar Juttner <alpar@cs.elte.hu>
Wed, 24 Jul 2013 10:21:35 +0200
changeset 1067 8a3fb3155dca
parent 1036 dff32ce3db71
child 1074 97d978243703
permissions -rw-r--r--
Bugfix in test/maps_test.cc (#469)
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/* -*- mode: C++; indent-tabs-mode: nil; -*-
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 *
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 * This file is a part of LEMON, a generic C++ optimization library.
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 *
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 * Copyright (C) 2003-2010
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 * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
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 * (Egervary Research Group on Combinatorial Optimization, EGRES).
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 *
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 * Permission to use, modify and distribute this software is granted
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 * provided that this copyright notice appears in all copies. For
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 * precise terms see the accompanying LICENSE file.
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 *
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 * This software is provided "AS IS" with no warranty of any kind,
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 * express or implied, and with no claim as to its suitability for any
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 * purpose.
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 *
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 */
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#ifndef LEMON_OPT2_TSP_H
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#define LEMON_OPT2_TSP_H
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/// \ingroup tsp
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/// \file
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/// \brief 2-opt algorithm for symmetric TSP.
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#include <vector>
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#include <lemon/full_graph.h>
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namespace lemon {
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  /// \ingroup tsp
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  ///
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  /// \brief 2-opt algorithm for symmetric TSP.
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  ///
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  /// Opt2Tsp implements the 2-opt heuristic for solving
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  /// symmetric \ref tsp "TSP".
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  ///
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  /// This algorithm starts with an initial tour and iteratively improves it.
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  /// At each step, it removes two edges and the reconnects the created two
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  /// paths in the other way if the resulting tour is shorter.
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  /// The algorithm finishes when no such 2-opt move can be applied, and so
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  /// the tour is 2-optimal.
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  ///
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  /// If no starting tour is given to the \ref run() function, then the
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  /// algorithm uses the node sequence determined by the node IDs.
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  /// Oherwise, it starts with the given tour.
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  ///
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  /// This is a rather slow but effective method.
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  /// Its typical usage is the improvement of the result of a fast tour
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  /// construction heuristic (e.g. the InsertionTsp algorithm).
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  ///
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  /// \tparam CM Type of the cost map.
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  template <typename CM>
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  class Opt2Tsp
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  {
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    public:
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      /// Type of the cost map
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      typedef CM CostMap;
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      /// Type of the edge costs
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      typedef typename CM::Value Cost;
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    private:
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      GRAPH_TYPEDEFS(FullGraph);
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      const FullGraph &_gr;
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      const CostMap &_cost;
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      Cost _sum;
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      std::vector<int> _plist;
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      std::vector<Node> _path;
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    public:
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      /// \brief Constructor
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      ///
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      /// Constructor.
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      /// \param gr The \ref FullGraph "full graph" the algorithm runs on.
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      /// \param cost The cost map.
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      Opt2Tsp(const FullGraph &gr, const CostMap &cost)
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        : _gr(gr), _cost(cost) {}
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      /// \name Execution Control
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      /// @{
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      /// \brief Runs the algorithm from scratch.
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      ///
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      /// This function runs the algorithm starting from the tour that is
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      /// determined by the node ID sequence.
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      ///
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      /// \return The total cost of the found tour.
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      Cost run() {
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        _path.clear();
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        if (_gr.nodeNum() == 0) return _sum = 0;
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        else if (_gr.nodeNum() == 1) {
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          _path.push_back(_gr(0));
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          return _sum = 0;
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        }
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        else if (_gr.nodeNum() == 2) {
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          _path.push_back(_gr(0));
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          _path.push_back(_gr(1));
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          return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
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        }
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        _plist.resize(2*_gr.nodeNum());
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        for (int i = 1; i < _gr.nodeNum()-1; ++i) {
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          _plist[2*i] = i-1;
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          _plist[2*i+1] = i+1;
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        }
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        _plist[0] = _gr.nodeNum()-1;
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        _plist[1] = 1;
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        _plist[2*_gr.nodeNum()-2] = _gr.nodeNum()-2;
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        _plist[2*_gr.nodeNum()-1] = 0;
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        return start();
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      }
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      /// \brief Runs the algorithm starting from the given tour.
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      ///
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      /// This function runs the algorithm starting from the given tour.
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      ///
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      /// \param tour The tour as a path structure. It must be a
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      /// \ref checkPath() "valid path" containing excactly n arcs.
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      ///
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      /// \return The total cost of the found tour.
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      template <typename Path>
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      Cost run(const Path& tour) {
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        _path.clear();
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        if (_gr.nodeNum() == 0) return _sum = 0;
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        else if (_gr.nodeNum() == 1) {
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          _path.push_back(_gr(0));
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          return _sum = 0;
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        }
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        else if (_gr.nodeNum() == 2) {
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          _path.push_back(_gr(0));
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          _path.push_back(_gr(1));
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          return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
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        }
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        _plist.resize(2*_gr.nodeNum());
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        typename Path::ArcIt it(tour);
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        int first = _gr.id(_gr.source(it)),
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            prev = first,
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            curr = _gr.id(_gr.target(it)),
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            next = -1;
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        _plist[2*first+1] = curr;
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        for (++it; it != INVALID; ++it) {
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          next = _gr.id(_gr.target(it));
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          _plist[2*curr] = prev;
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          _plist[2*curr+1] = next;
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          prev = curr;
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          curr = next;
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        }
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        _plist[2*first] = prev;
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        return start();
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      }
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      /// \brief Runs the algorithm starting from the given tour.
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      ///
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      /// This function runs the algorithm starting from the given tour
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      /// (node sequence).
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      ///
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      /// \param tour A vector that stores all <tt>Node</tt>s of the graph
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      /// in the desired order.
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      ///
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      /// \return The total cost of the found tour.
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      Cost run(const std::vector<Node>& tour) {
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        _path.clear();
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        if (_gr.nodeNum() == 0) return _sum = 0;
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        else if (_gr.nodeNum() == 1) {
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          _path.push_back(_gr(0));
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          return _sum = 0;
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        }
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        else if (_gr.nodeNum() == 2) {
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          _path.push_back(_gr(0));
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          _path.push_back(_gr(1));
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          return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
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        }
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        _plist.resize(2*_gr.nodeNum());
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        typename std::vector<Node>::const_iterator it = tour.begin();
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        int first = _gr.id(*it),
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            prev = first,
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            curr = _gr.id(*(++it)),
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            next = -1;
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        _plist[2*first+1] = curr;
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        for (++it; it != tour.end(); ++it) {
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          next = _gr.id(*it);
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          _plist[2*curr] = prev;
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          _plist[2*curr+1] = next;
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          prev = curr;
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          curr = next;
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        }
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        _plist[2*first] = curr;
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        _plist[2*curr] = prev;
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        _plist[2*curr+1] = first;
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        return start();
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      }
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      /// @}
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      /// \name Query Functions
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      /// @{
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      /// \brief The total cost of the found tour.
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      ///
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      /// This function returns the total cost of the found tour.
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      ///
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      /// \pre run() must be called before using this function.
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      Cost tourCost() const {
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        return _sum;
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      }
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      /// \brief Returns a const reference to the node sequence of the
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      /// found tour.
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      ///
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      /// This function returns a const reference to a vector
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      /// that stores the node sequence of the found tour.
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      ///
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      /// \pre run() must be called before using this function.
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      const std::vector<Node>& tourNodes() const {
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        return _path;
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      }
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      /// \brief Gives back the node sequence of the found tour.
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      ///
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      /// This function copies the node sequence of the found tour into
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      /// an STL container through the given output iterator. The
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      /// <tt>value_type</tt> of the container must be <tt>FullGraph::Node</tt>.
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      /// For example,
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      /// \code
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      /// std::vector<FullGraph::Node> nodes(countNodes(graph));
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      /// tsp.tourNodes(nodes.begin());
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      /// \endcode
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      /// or
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      /// \code
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      /// std::list<FullGraph::Node> nodes;
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      /// tsp.tourNodes(std::back_inserter(nodes));
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      /// \endcode
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      ///
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      /// \pre run() must be called before using this function.
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      template <typename Iterator>
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      void tourNodes(Iterator out) const {
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        std::copy(_path.begin(), _path.end(), out);
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      }
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      /// \brief Gives back the found tour as a path.
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      ///
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      /// This function copies the found tour as a list of arcs/edges into
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      /// the given \ref concept::Path "path structure".
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      ///
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      /// \pre run() must be called before using this function.
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      template <typename Path>
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      void tour(Path &path) const {
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        path.clear();
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        for (int i = 0; i < int(_path.size()) - 1; ++i) {
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          path.addBack(_gr.arc(_path[i], _path[i+1]));
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        }
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        if (int(_path.size()) >= 2) {
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          path.addBack(_gr.arc(_path.back(), _path.front()));
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        }
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      }
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      /// @}
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    private:
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      // Iterator class for the linked list storage of the tour
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      class PathListIt {
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        public:
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          PathListIt(const std::vector<int> &pl, int i=0)
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            : plist(&pl), act(i), last(pl[2*act]) {}
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          PathListIt(const std::vector<int> &pl, int i, int l)
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            : plist(&pl), act(i), last(l) {}
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          int nextIndex() const {
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            return (*plist)[2*act] == last ? 2*act+1 : 2*act;
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          }
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          int prevIndex() const {
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            return (*plist)[2*act] == last ? 2*act : 2*act+1;
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          }
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          int next() const {
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            int x = (*plist)[2*act];
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            return x == last ? (*plist)[2*act+1] : x;
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          }
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          int prev() const {
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            return last;
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          }
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          PathListIt& operator++() {
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            int tmp = act;
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            act = next();
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            last = tmp;
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            return *this;
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          }
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          operator int() const {
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            return act;
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          }
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        private:
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          const std::vector<int> *plist;
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          int act;
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          int last;
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      };
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      // Checks and applies 2-opt move (if it improves the tour)
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      bool checkOpt2(const PathListIt& i, const PathListIt& j) {
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        Node u  = _gr.nodeFromId(i),
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             un = _gr.nodeFromId(i.next()),
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             v  = _gr.nodeFromId(j),
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             vn = _gr.nodeFromId(j.next());
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        if (_cost[_gr.edge(u, un)] + _cost[_gr.edge(v, vn)] >
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            _cost[_gr.edge(u, v)] + _cost[_gr.edge(un, vn)])
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        {
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          _plist[PathListIt(_plist, i.next(), i).prevIndex()] = j.next();
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          _plist[PathListIt(_plist, j.next(), j).prevIndex()] = i.next();
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          _plist[i.nextIndex()] = j;
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          _plist[j.nextIndex()] = i;
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          return true;
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        }
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        return false;
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     }
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      // Executes the algorithm from the initial tour
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      Cost start() {
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      restart_search:
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        for (PathListIt i(_plist); true; ++i) {
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          PathListIt j = i;
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          if (++j == 0 || ++j == 0) break;
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          for (; j != 0 && j != i.prev(); ++j) {
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            if (checkOpt2(i, j))
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              goto restart_search;
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          }
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        }
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        PathListIt i(_plist);
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        _path.push_back(_gr.nodeFromId(i));
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        for (++i; i != 0; ++i)
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          _path.push_back(_gr.nodeFromId(i));
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        _sum = _cost[_gr.edge(_path.back(), _path.front())];
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        for (int i = 0; i < int(_path.size())-1; ++i) {
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          _sum += _cost[_gr.edge(_path[i], _path[i+1])];
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        }
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        return _sum;
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      }
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  };
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}; // namespace lemon
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#endif