lemon/nearest_neighbor_tsp.h
author Peter Kovacs <kpeter@inf.elte.hu>
Sat, 07 Oct 2017 16:17:34 +0200
changeset 1192 b79ff94e27d9
parent 1092 dceba191c00d
permissions -rw-r--r--
Remove unused auxiliary classes (#597)
     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) 2003-2013
     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_NEAREST_NEIGHBOUR_TSP_H
    20 #define LEMON_NEAREST_NEIGHBOUR_TSP_H
    21 
    22 /// \ingroup tsp
    23 /// \file
    24 /// \brief Nearest neighbor algorithm for symmetric TSP
    25 
    26 #include <deque>
    27 #include <vector>
    28 #include <limits>
    29 #include <lemon/full_graph.h>
    30 #include <lemon/maps.h>
    31 
    32 namespace lemon {
    33 
    34   /// \ingroup tsp
    35   ///
    36   /// \brief Nearest neighbor algorithm for symmetric TSP.
    37   ///
    38   /// NearestNeighborTsp implements the nearest neighbor heuristic for solving
    39   /// symmetric \ref tsp "TSP".
    40   ///
    41   /// This is probably the simplest TSP heuristic.
    42   /// It starts with a minimum cost edge and at each step, it connects the
    43   /// nearest unvisited node to the current path.
    44   /// Finally, it connects the two end points of the path to form a tour.
    45   ///
    46   /// This method runs in O(n<sup>2</sup>) time.
    47   /// It quickly finds a relatively short tour for most TSP instances,
    48   /// but it could also yield a really bad (or even the worst) solution
    49   /// in special cases.
    50   ///
    51   /// \tparam CM Type of the cost map.
    52   template <typename CM>
    53   class NearestNeighborTsp
    54   {
    55     public:
    56 
    57       /// Type of the cost map
    58       typedef CM CostMap;
    59       /// Type of the edge costs
    60       typedef typename CM::Value Cost;
    61 
    62     private:
    63 
    64       GRAPH_TYPEDEFS(FullGraph);
    65 
    66       const FullGraph &_gr;
    67       const CostMap &_cost;
    68       Cost _sum;
    69       std::vector<Node> _path;
    70 
    71     public:
    72 
    73       /// \brief Constructor
    74       ///
    75       /// Constructor.
    76       /// \param gr The \ref FullGraph "full graph" the algorithm runs on.
    77       /// \param cost The cost map.
    78       NearestNeighborTsp(const FullGraph &gr, const CostMap &cost)
    79         : _gr(gr), _cost(cost) {}
    80 
    81       /// \name Execution Control
    82       /// @{
    83 
    84       /// \brief Runs the algorithm.
    85       ///
    86       /// This function runs the algorithm.
    87       ///
    88       /// \return The total cost of the found tour.
    89       Cost run() {
    90         _path.clear();
    91         if (_gr.nodeNum() == 0) {
    92           return _sum = 0;
    93         }
    94         else if (_gr.nodeNum() == 1) {
    95           _path.push_back(_gr(0));
    96           return _sum = 0;
    97         }
    98 
    99         std::deque<Node> path_dq;
   100         Edge min_edge1 = INVALID,
   101              min_edge2 = INVALID;
   102 
   103         min_edge1 = mapMin(_gr, _cost);
   104         Node n1 = _gr.u(min_edge1),
   105              n2 = _gr.v(min_edge1);
   106         path_dq.push_back(n1);
   107         path_dq.push_back(n2);
   108 
   109         FullGraph::NodeMap<bool> used(_gr, false);
   110         used[n1] = true;
   111         used[n2] = true;
   112 
   113         min_edge1 = INVALID;
   114         while (int(path_dq.size()) != _gr.nodeNum()) {
   115           if (min_edge1 == INVALID) {
   116             for (IncEdgeIt e(_gr, n1); e != INVALID; ++e) {
   117               if (!used[_gr.runningNode(e)] &&
   118                   (min_edge1 == INVALID || _cost[e] < _cost[min_edge1])) {
   119                 min_edge1 = e;
   120               }
   121             }
   122           }
   123 
   124           if (min_edge2 == INVALID) {
   125             for (IncEdgeIt e(_gr, n2); e != INVALID; ++e) {
   126               if (!used[_gr.runningNode(e)] &&
   127                   (min_edge2 == INVALID||_cost[e] < _cost[min_edge2])) {
   128                 min_edge2 = e;
   129               }
   130             }
   131           }
   132 
   133           if (_cost[min_edge1] < _cost[min_edge2]) {
   134             n1 = _gr.oppositeNode(n1, min_edge1);
   135             path_dq.push_front(n1);
   136 
   137             used[n1] = true;
   138             min_edge1 = INVALID;
   139 
   140             if (_gr.u(min_edge2) == n1 || _gr.v(min_edge2) == n1)
   141               min_edge2 = INVALID;
   142           } else {
   143             n2 = _gr.oppositeNode(n2, min_edge2);
   144             path_dq.push_back(n2);
   145 
   146             used[n2] = true;
   147             min_edge2 = INVALID;
   148 
   149             if (_gr.u(min_edge1) == n2 || _gr.v(min_edge1) == n2)
   150               min_edge1 = INVALID;
   151           }
   152         }
   153 
   154         n1 = path_dq.back();
   155         n2 = path_dq.front();
   156         _path.push_back(n2);
   157         _sum = _cost[_gr.edge(n1, n2)];
   158         for (int i = 1; i < int(path_dq.size()); ++i) {
   159           n1 = n2;
   160           n2 = path_dq[i];
   161           _path.push_back(n2);
   162           _sum += _cost[_gr.edge(n1, n2)];
   163         }
   164 
   165         return _sum;
   166       }
   167 
   168       /// @}
   169 
   170       /// \name Query Functions
   171       /// @{
   172 
   173       /// \brief The total cost of the found tour.
   174       ///
   175       /// This function returns the total cost of the found tour.
   176       ///
   177       /// \pre run() must be called before using this function.
   178       Cost tourCost() const {
   179         return _sum;
   180       }
   181 
   182       /// \brief Returns a const reference to the node sequence of the
   183       /// found tour.
   184       ///
   185       /// This function returns a const reference to a vector
   186       /// that stores the node sequence of the found tour.
   187       ///
   188       /// \pre run() must be called before using this function.
   189       const std::vector<Node>& tourNodes() const {
   190         return _path;
   191       }
   192 
   193       /// \brief Gives back the node sequence of the found tour.
   194       ///
   195       /// This function copies the node sequence of the found tour into
   196       /// an STL container through the given output iterator. The
   197       /// <tt>value_type</tt> of the container must be <tt>FullGraph::Node</tt>.
   198       /// For example,
   199       /// \code
   200       /// std::vector<FullGraph::Node> nodes(countNodes(graph));
   201       /// tsp.tourNodes(nodes.begin());
   202       /// \endcode
   203       /// or
   204       /// \code
   205       /// std::list<FullGraph::Node> nodes;
   206       /// tsp.tourNodes(std::back_inserter(nodes));
   207       /// \endcode
   208       ///
   209       /// \pre run() must be called before using this function.
   210       template <typename Iterator>
   211       void tourNodes(Iterator out) const {
   212         std::copy(_path.begin(), _path.end(), out);
   213       }
   214 
   215       /// \brief Gives back the found tour as a path.
   216       ///
   217       /// This function copies the found tour as a list of arcs/edges into
   218       /// the given \ref lemon::concepts::Path "path structure".
   219       ///
   220       /// \pre run() must be called before using this function.
   221       template <typename Path>
   222       void tour(Path &path) const {
   223         path.clear();
   224         for (int i = 0; i < int(_path.size()) - 1; ++i) {
   225           path.addBack(_gr.arc(_path[i], _path[i+1]));
   226         }
   227         if (int(_path.size()) >= 2) {
   228           path.addBack(_gr.arc(_path.back(), _path.front()));
   229         }
   230       }
   231 
   232       /// @}
   233 
   234   };
   235 
   236 }; // namespace lemon
   237 
   238 #endif