lemon/opt2_tsp.h
author Alpar Juttner <alpar@cs.elte.hu>
Fri, 15 Mar 2013 17:15:46 +0100
changeset 1047 f7247b5c04bf
parent 1036 dff32ce3db71
child 1074 97d978243703
permissions -rw-r--r--
Merge
     1 /* -*- mode: C++; indent-tabs-mode: nil; -*-
     2  *
     3  * This file is a part of LEMON, a generic C++ optimization library.
     4  *
     5  * Copyright (C) 2003-2010
     6  * Egervary Jeno Kombinatorikus Optimalizalasi Kutatocsoport
     7  * (Egervary Research Group on Combinatorial Optimization, EGRES).
     8  *
     9  * Permission to use, modify and distribute this software is granted
    10  * provided that this copyright notice appears in all copies. For
    11  * precise terms see the accompanying LICENSE file.
    12  *
    13  * This software is provided "AS IS" with no warranty of any kind,
    14  * express or implied, and with no claim as to its suitability for any
    15  * purpose.
    16  *
    17  */
    18 
    19 #ifndef LEMON_OPT2_TSP_H
    20 #define LEMON_OPT2_TSP_H
    21 
    22 /// \ingroup tsp
    23 /// \file
    24 /// \brief 2-opt algorithm for symmetric TSP.
    25 
    26 #include <vector>
    27 #include <lemon/full_graph.h>
    28 
    29 namespace lemon {
    30 
    31   /// \ingroup tsp
    32   ///
    33   /// \brief 2-opt algorithm for symmetric TSP.
    34   ///
    35   /// Opt2Tsp implements the 2-opt heuristic for solving
    36   /// symmetric \ref tsp "TSP".
    37   ///
    38   /// This algorithm starts with an initial tour and iteratively improves it.
    39   /// At each step, it removes two edges and the reconnects the created two
    40   /// paths in the other way if the resulting tour is shorter.
    41   /// The algorithm finishes when no such 2-opt move can be applied, and so
    42   /// the tour is 2-optimal.
    43   ///
    44   /// If no starting tour is given to the \ref run() function, then the
    45   /// algorithm uses the node sequence determined by the node IDs.
    46   /// Oherwise, it starts with the given tour.
    47   ///
    48   /// This is a rather slow but effective method.
    49   /// Its typical usage is the improvement of the result of a fast tour
    50   /// construction heuristic (e.g. the InsertionTsp algorithm).
    51   ///
    52   /// \tparam CM Type of the cost map.
    53   template <typename CM>
    54   class Opt2Tsp
    55   {
    56     public:
    57 
    58       /// Type of the cost map
    59       typedef CM CostMap;
    60       /// Type of the edge costs
    61       typedef typename CM::Value Cost;
    62 
    63     private:
    64 
    65       GRAPH_TYPEDEFS(FullGraph);
    66 
    67       const FullGraph &_gr;
    68       const CostMap &_cost;
    69       Cost _sum;
    70       std::vector<int> _plist;
    71       std::vector<Node> _path;
    72 
    73     public:
    74 
    75       /// \brief Constructor
    76       ///
    77       /// Constructor.
    78       /// \param gr The \ref FullGraph "full graph" the algorithm runs on.
    79       /// \param cost The cost map.
    80       Opt2Tsp(const FullGraph &gr, const CostMap &cost)
    81         : _gr(gr), _cost(cost) {}
    82 
    83       /// \name Execution Control
    84       /// @{
    85 
    86       /// \brief Runs the algorithm from scratch.
    87       ///
    88       /// This function runs the algorithm starting from the tour that is
    89       /// determined by the node ID sequence.
    90       ///
    91       /// \return The total cost of the found tour.
    92       Cost run() {
    93         _path.clear();
    94 
    95         if (_gr.nodeNum() == 0) return _sum = 0;
    96         else if (_gr.nodeNum() == 1) {
    97           _path.push_back(_gr(0));
    98           return _sum = 0;
    99         }
   100         else if (_gr.nodeNum() == 2) {
   101           _path.push_back(_gr(0));
   102           _path.push_back(_gr(1));
   103           return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
   104         }
   105 
   106         _plist.resize(2*_gr.nodeNum());
   107         for (int i = 1; i < _gr.nodeNum()-1; ++i) {
   108           _plist[2*i] = i-1;
   109           _plist[2*i+1] = i+1;
   110         }
   111         _plist[0] = _gr.nodeNum()-1;
   112         _plist[1] = 1;
   113         _plist[2*_gr.nodeNum()-2] = _gr.nodeNum()-2;
   114         _plist[2*_gr.nodeNum()-1] = 0;
   115 
   116         return start();
   117       }
   118 
   119       /// \brief Runs the algorithm starting from the given tour.
   120       ///
   121       /// This function runs the algorithm starting from the given tour.
   122       ///
   123       /// \param tour The tour as a path structure. It must be a
   124       /// \ref checkPath() "valid path" containing excactly n arcs.
   125       ///
   126       /// \return The total cost of the found tour.
   127       template <typename Path>
   128       Cost run(const Path& tour) {
   129         _path.clear();
   130 
   131         if (_gr.nodeNum() == 0) return _sum = 0;
   132         else if (_gr.nodeNum() == 1) {
   133           _path.push_back(_gr(0));
   134           return _sum = 0;
   135         }
   136         else if (_gr.nodeNum() == 2) {
   137           _path.push_back(_gr(0));
   138           _path.push_back(_gr(1));
   139           return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
   140         }
   141 
   142         _plist.resize(2*_gr.nodeNum());
   143         typename Path::ArcIt it(tour);
   144         int first = _gr.id(_gr.source(it)),
   145             prev = first,
   146             curr = _gr.id(_gr.target(it)),
   147             next = -1;
   148         _plist[2*first+1] = curr;
   149         for (++it; it != INVALID; ++it) {
   150           next = _gr.id(_gr.target(it));
   151           _plist[2*curr] = prev;
   152           _plist[2*curr+1] = next;
   153           prev = curr;
   154           curr = next;
   155         }
   156         _plist[2*first] = prev;
   157 
   158         return start();
   159       }
   160 
   161       /// \brief Runs the algorithm starting from the given tour.
   162       ///
   163       /// This function runs the algorithm starting from the given tour
   164       /// (node sequence).
   165       ///
   166       /// \param tour A vector that stores all <tt>Node</tt>s of the graph
   167       /// in the desired order.
   168       ///
   169       /// \return The total cost of the found tour.
   170       Cost run(const std::vector<Node>& tour) {
   171         _path.clear();
   172 
   173         if (_gr.nodeNum() == 0) return _sum = 0;
   174         else if (_gr.nodeNum() == 1) {
   175           _path.push_back(_gr(0));
   176           return _sum = 0;
   177         }
   178         else if (_gr.nodeNum() == 2) {
   179           _path.push_back(_gr(0));
   180           _path.push_back(_gr(1));
   181           return _sum = 2 * _cost[_gr.edge(_gr(0), _gr(1))];
   182         }
   183 
   184         _plist.resize(2*_gr.nodeNum());
   185         typename std::vector<Node>::const_iterator it = tour.begin();
   186         int first = _gr.id(*it),
   187             prev = first,
   188             curr = _gr.id(*(++it)),
   189             next = -1;
   190         _plist[2*first+1] = curr;
   191         for (++it; it != tour.end(); ++it) {
   192           next = _gr.id(*it);
   193           _plist[2*curr] = prev;
   194           _plist[2*curr+1] = next;
   195           prev = curr;
   196           curr = next;
   197         }
   198         _plist[2*first] = curr;
   199         _plist[2*curr] = prev;
   200         _plist[2*curr+1] = first;
   201 
   202         return start();
   203       }
   204 
   205       /// @}
   206 
   207       /// \name Query Functions
   208       /// @{
   209 
   210       /// \brief The total cost of the found tour.
   211       ///
   212       /// This function returns the total cost of the found tour.
   213       ///
   214       /// \pre run() must be called before using this function.
   215       Cost tourCost() const {
   216         return _sum;
   217       }
   218 
   219       /// \brief Returns a const reference to the node sequence of the
   220       /// found tour.
   221       ///
   222       /// This function returns a const reference to a vector
   223       /// that stores the node sequence of the found tour.
   224       ///
   225       /// \pre run() must be called before using this function.
   226       const std::vector<Node>& tourNodes() const {
   227         return _path;
   228       }
   229 
   230       /// \brief Gives back the node sequence of the found tour.
   231       ///
   232       /// This function copies the node sequence of the found tour into
   233       /// an STL container through the given output iterator. The
   234       /// <tt>value_type</tt> of the container must be <tt>FullGraph::Node</tt>.
   235       /// For example,
   236       /// \code
   237       /// std::vector<FullGraph::Node> nodes(countNodes(graph));
   238       /// tsp.tourNodes(nodes.begin());
   239       /// \endcode
   240       /// or
   241       /// \code
   242       /// std::list<FullGraph::Node> nodes;
   243       /// tsp.tourNodes(std::back_inserter(nodes));
   244       /// \endcode
   245       ///
   246       /// \pre run() must be called before using this function.
   247       template <typename Iterator>
   248       void tourNodes(Iterator out) const {
   249         std::copy(_path.begin(), _path.end(), out);
   250       }
   251 
   252       /// \brief Gives back the found tour as a path.
   253       ///
   254       /// This function copies the found tour as a list of arcs/edges into
   255       /// the given \ref concept::Path "path structure".
   256       ///
   257       /// \pre run() must be called before using this function.
   258       template <typename Path>
   259       void tour(Path &path) const {
   260         path.clear();
   261         for (int i = 0; i < int(_path.size()) - 1; ++i) {
   262           path.addBack(_gr.arc(_path[i], _path[i+1]));
   263         }
   264         if (int(_path.size()) >= 2) {
   265           path.addBack(_gr.arc(_path.back(), _path.front()));
   266         }
   267       }
   268 
   269       /// @}
   270 
   271     private:
   272 
   273       // Iterator class for the linked list storage of the tour
   274       class PathListIt {
   275         public:
   276           PathListIt(const std::vector<int> &pl, int i=0)
   277             : plist(&pl), act(i), last(pl[2*act]) {}
   278           PathListIt(const std::vector<int> &pl, int i, int l)
   279             : plist(&pl), act(i), last(l) {}
   280 
   281           int nextIndex() const {
   282             return (*plist)[2*act] == last ? 2*act+1 : 2*act;
   283           }
   284 
   285           int prevIndex() const {
   286             return (*plist)[2*act] == last ? 2*act : 2*act+1;
   287           }
   288 
   289           int next() const {
   290             int x = (*plist)[2*act];
   291             return x == last ? (*plist)[2*act+1] : x;
   292           }
   293 
   294           int prev() const {
   295             return last;
   296           }
   297 
   298           PathListIt& operator++() {
   299             int tmp = act;
   300             act = next();
   301             last = tmp;
   302             return *this;
   303           }
   304 
   305           operator int() const {
   306             return act;
   307           }
   308 
   309         private:
   310           const std::vector<int> *plist;
   311           int act;
   312           int last;
   313       };
   314 
   315       // Checks and applies 2-opt move (if it improves the tour)
   316       bool checkOpt2(const PathListIt& i, const PathListIt& j) {
   317         Node u  = _gr.nodeFromId(i),
   318              un = _gr.nodeFromId(i.next()),
   319              v  = _gr.nodeFromId(j),
   320              vn = _gr.nodeFromId(j.next());
   321 
   322         if (_cost[_gr.edge(u, un)] + _cost[_gr.edge(v, vn)] >
   323             _cost[_gr.edge(u, v)] + _cost[_gr.edge(un, vn)])
   324         {
   325           _plist[PathListIt(_plist, i.next(), i).prevIndex()] = j.next();
   326           _plist[PathListIt(_plist, j.next(), j).prevIndex()] = i.next();
   327 
   328           _plist[i.nextIndex()] = j;
   329           _plist[j.nextIndex()] = i;
   330 
   331           return true;
   332         }
   333 
   334         return false;
   335      }
   336 
   337       // Executes the algorithm from the initial tour
   338       Cost start() {
   339 
   340       restart_search:
   341         for (PathListIt i(_plist); true; ++i) {
   342           PathListIt j = i;
   343           if (++j == 0 || ++j == 0) break;
   344           for (; j != 0 && j != i.prev(); ++j) {
   345             if (checkOpt2(i, j))
   346               goto restart_search;
   347           }
   348         }
   349 
   350         PathListIt i(_plist);
   351         _path.push_back(_gr.nodeFromId(i));
   352         for (++i; i != 0; ++i)
   353           _path.push_back(_gr.nodeFromId(i));
   354 
   355         _sum = _cost[_gr.edge(_path.back(), _path.front())];
   356         for (int i = 0; i < int(_path.size())-1; ++i) {
   357           _sum += _cost[_gr.edge(_path[i], _path[i+1])];
   358         }
   359 
   360         return _sum;
   361       }
   362 
   363   };
   364 
   365 }; // namespace lemon
   366 
   367 #endif