Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 7659119
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 31, 20262026-05-31T13:17:24+00:00 2026-05-31T13:17:24+00:00

I want to implement robot’s path planning subsystem. I’m going to use A* from

  • 0

I want to implement robot’s path planning subsystem. I’m going to use A* from boost library.

I need implicit graph. I have to use astar_search_no_init function (It is written in documentation). Unfortunately, I can’t find an example of using astar_search_no_init and implicit graph.

I found “A* Graph Search Within the BGL Framework”. The author uses astar_search for implicit graph. He tries to add vertex inside examine_vertex method of visitor. But it is impossible in boost 1.49 because graph is passed as constant reference in this method.

Can anyone help me?

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-05-31T13:17:25+00:00Added an answer on May 31, 2026 at 1:17 pm

    I have just come up with a working example of an implicit graph. The graph is also infinite. I just posted this to boost-users, but I’ll put it here too so it’s easy to find.

    /**
     * Example use of boost::astar_search_no_init on an infinite, implicitly-defined graph.
     *
     * The graph type used here is XYGraph, representing an infinite grid of squares.  Each
     * square is connected to its eight neighbors; however, the example shows how to use
     * boost::filtered_graph to make the search take place only along orthogonal edges.
     */
    
    #include <iostream>
    #include <list>
    #include <map>
    #include <set>
    #include <utility>
    
    #include <boost/graph/graph_traits.hpp>
    #include <boost/graph/astar_search.hpp>
    #include <boost/graph/filtered_graph.hpp>
    #include <boost/operators.hpp>
    #include <boost/ref.hpp>
    
    namespace Direction
    {
    enum id
    {
        MIN = 0,
        N = MIN, S, E, W, NW, NE, SE, SW, NONE
    };
    }
    
    struct XY : public boost::additive<XY,
        boost::totally_ordered<XY,
        boost::equivalent<XY>
        > >
    {
        typedef int X;
        typedef int Y;
    
        XY(X x = 0, Y y = 0);
    
        // Same square counts.
        bool adjacentTo(XY const& that) const;
    
        XY & operator=(XY const& that);
        XY & operator+=(XY const& that);
    
        bool operator<(XY const& that) const;
    
        X x;
        Y y;
    
        XY neighbor(Direction::id direction) const;
        std::set<XY> allNeighbors() const;
    };
    
    std::ostream & operator<<(std::ostream & os, XY const& xy);
    
    struct neighbor_iterator;
    
    /*
     * Model of:
     *  * Graph
     *  * IncidenceGraph
     */
    struct XYGraph
    {
        XYGraph();
    
        // Graph concept requirements
        typedef XY                                vertex_descriptor;
        typedef std::pair<XY, XY>                 edge_descriptor;
        typedef boost::undirected_tag             directed_category;
        typedef boost::disallow_parallel_edge_tag edge_parallel_category;
        typedef boost::incidence_graph_tag        traversal_category;
    
        // IncidenceGraph concept requirements
        typedef neighbor_iterator          out_edge_iterator;
        typedef int                        degree_size_type;
    };
    
    namespace boost
    {
        template <> struct graph_traits<XYGraph>
        {
            typedef XYGraph G;
    
            typedef G::vertex_descriptor      vertex_descriptor;
            typedef G::edge_descriptor        edge_descriptor;
            typedef G::out_edge_iterator      out_edge_iterator;
    
            typedef G::directed_category      directed_category;
            typedef G::edge_parallel_category edge_parallel_category;
            typedef G::traversal_category     traversal_category;
    
            typedef G::degree_size_type       degree_size_type;
    
            typedef void in_edge_iterator;
            typedef void vertex_iterator;
            typedef void vertices_size_type;
            typedef void edge_iterator;
            typedef void edges_size_type;
        };
    }
    
    // IncidenceGraph concept requirements
    std::pair<XYGraph::out_edge_iterator, 
    XYGraph::out_edge_iterator> out_edges(XYGraph::vertex_descriptor v, XYGraph const& g);
    XYGraph::degree_size_type out_degree(XYGraph::vertex_descriptor v, XYGraph const& g);
    XYGraph::vertex_descriptor source(XYGraph::edge_descriptor e, XYGraph const& g);
    XYGraph::vertex_descriptor target(XYGraph::edge_descriptor e, XYGraph const& g);
    
    // Iterator
    struct neighbor_iterator : 
        public boost::iterator_facade<neighbor_iterator,
                                      std::pair<XY,XY>,
                                      boost::forward_traversal_tag,
                                      std::pair<XY,XY> >
    {
    public:
        neighbor_iterator();
        neighbor_iterator(XY xy, Direction::id direction);
    
        neighbor_iterator & operator=(neighbor_iterator const& that);
    
        std::pair<XY,XY> operator*() const;
        neighbor_iterator& operator++();
        bool operator==(neighbor_iterator const& that) const;
    
        bool equal(neighbor_iterator const& that) const { return operator==(that); }
        void increment() { operator++(); }
    
    private:
        XY xy;
        Direction::id direction;
    };
    
    
    // Filter used to traverse grid only along orthogonal (non-diagonal) edges.
    struct orthogonal_only
    {
        typedef std::pair<XY,XY> Edge;
        bool operator()(Edge const& edge) const
        {
            return edge.first.x == edge.second.x || edge.first.y == edge.second.y;
        }
    };
    
    template <typename Graph> class distance_heuristic;
    
    struct found_goal {}; // exception for termination
    
    // visitor that terminates when we find the goal
    class astar_goal_visitor : public boost::default_astar_visitor
    {
    public:
        astar_goal_visitor(XY goal) : m_goal(goal) {}
    
        void examine_vertex(XY xy, XYGraph const& g) {
            (void)g;
            std::cout << "Exploring " << xy << "..." << std::endl;
            if(xy == m_goal)
                throw found_goal();
        }
        void examine_vertex(XY xy, boost::filtered_graph<XYGraph, orthogonal_only> const& g) {
            (void)g;
            std::cout << "Exploring " << xy << "..." << std::endl;
            if(xy == m_goal)
                throw found_goal();
        }
    private:
        XY m_goal;
    };
    
    template <typename K, typename V>
    class default_map
    {
    public:
        typedef K key_type;
        typedef V data_type;
        typedef std::pair<K,V> value_type;
    
        default_map(V const& defaultValue)
            : m()
            , defaultValue(defaultValue)
        {}
    
        V & operator[](K const& k)
        {
            if (m.find(k) == m.end())
            {
                m[k] = defaultValue;
            }
            return m[k];
        }
    
    private:
        std::map<K,V> m;
        V const defaultValue;
    };
    
    struct PredecessorMap
    {
        PredecessorMap() : m() {}
        PredecessorMap(PredecessorMap const& that) : m(that.m) {}
    
        typedef XY key_type;
        typedef XY value_type;
        typedef XY & reference_type;
        typedef boost::read_write_property_map_tag category;
    
        XY & operator[](XY xy) { return m[xy]; }
    
        std::map<XY,XY> m;
    };
    
    XY get(PredecessorMap const& pm, XY xy)
    {
        std::map<XY,XY>::const_iterator found = pm.m.find(xy);
        return (found != pm.m.end()) ? found->second : xy;
    }
    
    void put(PredecessorMap & pm, XY key, XY value)
    {
        pm.m[key] = value;
    }
    
    // Euclidean distance heuristic (square root omitted)
    template <typename Graph>
    class distance_heuristic : public boost::astar_heuristic<Graph, int>
    {
    public:
        distance_heuristic(XY goal)
            : m_goal(goal) {}
        unsigned operator()(XY xy)
        {
            int dx = m_goal.x - xy.x;
            int dy = m_goal.y - xy.y;
            unsigned retval = static_cast<unsigned>(dx * dx + dy * dy);
            return retval;
        }
    private:
        XY m_goal;
    };
    
    int main()
    {
        XYGraph baseGraph;
        boost::filtered_graph<XYGraph, orthogonal_only> g(baseGraph, orthogonal_only());
        //BOOST_CONCEPT_ASSERT((IncidenceGraphConcept< boost::filtered_graph<XYGraph, orthogonal_only> >));
    
        XY start(0,0);
        XY goal(5,7);
    
        std::cout << "Start vertex: " << start << std::endl;
        std::cout << "Goal vertex: " << goal << std::endl;
    
        PredecessorMap p;
        typedef boost::associative_property_map< default_map<XY,unsigned> > DistanceMap;
        typedef default_map<XY,unsigned> WrappedDistanceMap;
        WrappedDistanceMap wrappedMap = WrappedDistanceMap(std::numeric_limits<unsigned>::max());
        wrappedMap[start] = 0;
        DistanceMap d = DistanceMap(wrappedMap);
        auto weight_map = default_map<std::pair<XY,XY>,unsigned>(1);
        auto vertex_index_map = std::map<XY,unsigned>();
        auto rank_map = std::map<XY,unsigned>();
        auto color_map = std::map<XY,boost::default_color_type>();
    
        try {
            astar_search_no_init(g, 
                start,
                distance_heuristic<XYGraph>(goal)
                , visitor(astar_goal_visitor(goal))
                . distance_map(d)
                . predecessor_map(boost::ref(p))
                . weight_map(boost::associative_property_map< default_map<std::pair<XY,XY>,unsigned> >(weight_map))
                . vertex_index_map(boost::associative_property_map< std::map<XY,unsigned> >(vertex_index_map))
                . rank_map(boost::associative_property_map< std::map<XY,unsigned> >(rank_map))
                . color_map(boost::associative_property_map< std::map<XY,boost::default_color_type> >(color_map))
                . distance_compare(std::less<unsigned>())
                . distance_combine(std::plus<unsigned>())
                );
        } catch(found_goal const&) { // found a path to the goal
            std::list<XY> shortest_path;
            for(XY xy = goal;; xy = p[xy]) {
                shortest_path.push_front(xy);
                if(p[xy] == xy)
                    break;
            }
            std::cout << "Shortest path from " << start << " to "
                << goal << ": ";
            std::list<XY>::iterator spi = shortest_path.begin();
            std::cout << start;
            for(++spi; spi != shortest_path.end(); ++spi) 
                std::cout << " -> " << (*spi);
            std::cout << std::endl;
            return 0;
        }
    
        std::cout << "Didn't find a path from " << start << "to"
            << goal << "!" << std::endl;
        return 0;
    }
    
    XYGraph::XYGraph()
    {}
    
    std::pair<XYGraph::out_edge_iterator, XYGraph::out_edge_iterator> 
    out_edges(XYGraph::vertex_descriptor v,
              XYGraph const& g)
    {
        (void)g;
        return std::make_pair(
            XYGraph::out_edge_iterator(v, Direction::MIN), 
            XYGraph::out_edge_iterator(v, Direction::NONE) );
    }
    
    XYGraph::degree_size_type 
    out_degree(XYGraph::vertex_descriptor v,
               XYGraph const& g)
    {
        (void)g;
        return v.allNeighbors().size();
    }
    
    XYGraph::vertex_descriptor 
    source(XYGraph::edge_descriptor e,
           XYGraph const& g)
    {
        (void)g;
        return e.first;
    }
    
    XYGraph::vertex_descriptor target(
        XYGraph::edge_descriptor e,
        XYGraph const& g)
    {
        (void)g;
        return e.second;
    }
    
    neighbor_iterator::neighbor_iterator() : xy() , direction() { }
    
    neighbor_iterator::neighbor_iterator(XY xy, Direction::id direction)
    : xy(xy)
    , direction(direction)
    {
    }
    
    neighbor_iterator & neighbor_iterator::operator=(neighbor_iterator const& that)
    {
        xy = that.xy;
        direction = that.direction;
        return *this;
    }
    
    std::pair<XY,XY> neighbor_iterator::operator*() const
    {
        std::pair<XY,XY> const retval = std::make_pair(xy, xy.neighbor(direction));
        return retval;
    }
    
    neighbor_iterator& neighbor_iterator::operator++()
    {
        direction = static_cast<Direction::id>(int(direction) + 1);
        return *this;
    }
    
    bool neighbor_iterator::operator==(neighbor_iterator const& that) const
    {
        return xy == that.xy && direction == that.direction;
    }
    
    
    XY::XY(X x, Y y)
    : x(x)
    , y(y)
    {
    }
    
    bool XY::adjacentTo(XY const& that) const
    {
        return abs(x - that.x) <= 1 && abs(y - that.y) <= 1;
    }
    
    XY & XY::operator=(XY const& that)
    {
        x = that.x;
        y = that.y;
        return *this;
    }
    
    XY & XY::operator+=(XY const& that)
    {
        x += that.x;
        y += that.y;
        return *this;
    }
    
    bool XY::operator<(XY const& that) const
    {
        return x < that.x || (x == that.x && y < that.y);
    }
    
    std::ostream & operator<<(std::ostream & os, XY const& xy)
    {
        os << "(" << xy.x << "," << xy.y << ")";
        return os;
    }
    
    XY XY::neighbor(Direction::id direction) const
    {
        using namespace Direction;
    
        int dx = 0, dy = 0;
        switch (direction)
        {
        case NW:
        case W:
        case SW:
            dx = -1;
            break;
        case NE:
        case E:
        case SE:
            dx = 1;
            break;
        default:
            dy = 0;
        }
        switch (direction)
        {
        case NW:
        case N:
        case NE:
            dy = -1;   
            break;
        case SW:
        case S:
        case SE:
            dy = 1;
            break;
        default:
            dy = 0;
        }
        XY const neighbor(x + dx, y + dy);
        return neighbor;
    }
    
    std::set<XY> XY::allNeighbors() const
    {
        std::set<XY> neighbors;
    
        for (int dx = -1; dx <= 1; ++dx)
            for (int dy = -1; dy <= 1; ++dy)
                neighbors.insert(XY(x+dx,y+dy));
    
        return neighbors;
    }
    
    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I want to implement a paperless filing system and was looking to use WIA
I want to implement in Java a class for handling graph data structures. I
I want to implement a suggestion combobox which shows suggestions grabbed from my own
I want implement in my software solution an VBA editor but in c# 3.0.
given this class definition: public class Frame { IFrameStream CapturedFrom; } I want implement
Microsoft has announce that WindowsLiveID become a OpenID provider . I want implement it
I want to implement search functionality for a website (assume it is similar to
I want to implement an automatic update system for a windows application. Right now
I want to implement a two-pass cache system: The first pass generates a PHP
I want to implement an ISAPI filter like feature using HttpModule in IIS7 running

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.