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// //======================================================================= // Copyright (c) 2004 Kristopher Beevers // // Distributed under the Boost Software License, Version 1.0. (See // accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt) //======================================================================= // #ifndef BOOST_GRAPH_ASTAR_SEARCH_HPP #define BOOST_GRAPH_ASTAR_SEARCH_HPP #include <functional> #include <vector> #include <boost/limits.hpp> #include <boost/throw_exception.hpp> #include <boost/graph/named_function_params.hpp> #include <boost/graph/relax.hpp> #include <boost/graph/exception.hpp> #include <boost/graph/breadth_first_search.hpp> #include <boost/graph/iteration_macros.hpp> #include <boost/graph/detail/d_ary_heap.hpp> #include <boost/graph/property_maps/constant_property_map.hpp> #include <boost/property_map/property_map.hpp> #include <boost/property_map/vector_property_map.hpp> #include <boost/property_map/function_property_map.hpp> #include <boost/concept/assert.hpp> namespace boost { template < class Heuristic, class Graph > struct AStarHeuristicConcept { void constraints() { BOOST_CONCEPT_ASSERT((CopyConstructibleConcept< Heuristic >)); h(u); } Heuristic h; typename graph_traits< Graph >::vertex_descriptor u; }; template < class Graph, class CostType > class astar_heuristic { public: typedef typename graph_traits< Graph >::vertex_descriptor Vertex; typedef Vertex argument_type; typedef CostType result_type; astar_heuristic() {} CostType operator()(Vertex u) { return static_cast< CostType >(0); } }; template < class Visitor, class Graph > struct AStarVisitorConcept { void constraints() { BOOST_CONCEPT_ASSERT((CopyConstructibleConcept< Visitor >)); vis.initialize_vertex(u, g); vis.discover_vertex(u, g); vis.examine_vertex(u, g); vis.examine_edge(e, g); vis.edge_relaxed(e, g); vis.edge_not_relaxed(e, g); vis.black_target(e, g); vis.finish_vertex(u, g); } Visitor vis; Graph g; typename graph_traits< Graph >::vertex_descriptor u; typename graph_traits< Graph >::edge_descriptor e; }; template < class Visitors = null_visitor > class astar_visitor : public bfs_visitor< Visitors > { public: astar_visitor() {} astar_visitor(Visitors vis) : bfs_visitor< Visitors >(vis) {} template < class Edge, class Graph > void edge_relaxed(Edge e, const Graph& g) { invoke_visitors(this->m_vis, e, g, on_edge_relaxed()); } template < class Edge, class Graph > void edge_not_relaxed(Edge e, const Graph& g) { invoke_visitors(this->m_vis, e, g, on_edge_not_relaxed()); } private: template < class Edge, class Graph > void tree_edge(Edge e, const Graph& g) { } template < class Edge, class Graph > void non_tree_edge(Edge e, const Graph& g) { } }; template < class Visitors > astar_visitor< Visitors > make_astar_visitor(Visitors vis) { return astar_visitor< Visitors >(vis); } typedef astar_visitor<> default_astar_visitor; namespace detail { template < class AStarHeuristic, class UniformCostVisitor, class UpdatableQueue, class PredecessorMap, class CostMap, class DistanceMap, class WeightMap, class ColorMap, class BinaryFunction, class BinaryPredicate > struct astar_bfs_visitor { typedef typename property_traits< CostMap >::value_type C; typedef typename property_traits< ColorMap >::value_type ColorValue; typedef color_traits< ColorValue > Color; typedef typename property_traits< DistanceMap >::value_type distance_type; astar_bfs_visitor(AStarHeuristic h, UniformCostVisitor vis, UpdatableQueue& Q, PredecessorMap p, CostMap c, DistanceMap d, WeightMap w, ColorMap col, BinaryFunction combine, BinaryPredicate compare, C zero) : m_h(h) , m_vis(vis) , m_Q(Q) , m_predecessor(p) , m_cost(c) , m_distance(d) , m_weight(w) , m_color(col) , m_combine(combine) , m_compare(compare) , m_zero(zero) { } template < class Vertex, class Graph > void initialize_vertex(Vertex u, const Graph& g) { m_vis.initialize_vertex(u, g); } template < class Vertex, class Graph > void discover_vertex(Vertex u, const Graph& g) { m_vis.discover_vertex(u, g); } template < class Vertex, class Graph > void examine_vertex(Vertex u, const Graph& g) { m_vis.examine_vertex(u, g); } template < class Vertex, class Graph > void finish_vertex(Vertex u, const Graph& g) { m_vis.finish_vertex(u, g); } template < class Edge, class Graph > void examine_edge(Edge e, const Graph& g) { if (m_compare(get(m_weight, e), m_zero)) BOOST_THROW_EXCEPTION(negative_edge()); m_vis.examine_edge(e, g); } template < class Edge, class Graph > void non_tree_edge(Edge, const Graph&) { } template < class Edge, class Graph > void tree_edge(Edge e, const Graph& g) { using boost::get; bool m_decreased = relax(e, g, m_weight, m_predecessor, m_distance, m_combine, m_compare); if (m_decreased) { m_vis.edge_relaxed(e, g); put(m_cost, target(e, g), m_combine( get(m_distance, target(e, g)), m_h(target(e, g)))); } else m_vis.edge_not_relaxed(e, g); } template < class Edge, class Graph > void gray_target(Edge e, const Graph& g) { using boost::get; bool m_decreased = relax(e, g, m_weight, m_predecessor, m_distance, m_combine, m_compare); if (m_decreased) { put(m_cost, target(e, g), m_combine( get(m_distance, target(e, g)), m_h(target(e, g)))); m_Q.update(target(e, g)); m_vis.edge_relaxed(e, g); } else m_vis.edge_not_relaxed(e, g); } template < class Edge, class Graph > void black_target(Edge e, const Graph& g) { using boost::get; bool m_decreased = relax(e, g, m_weight, m_predecessor, m_distance, m_combine, m_compare); if (m_decreased) { m_vis.edge_relaxed(e, g); put(m_cost, target(e, g), m_combine( get(m_distance, target(e, g)), m_h(target(e, g)))); m_Q.push(target(e, g)); put(m_color, target(e, g), Color::gray()); m_vis.black_target(e, g); } else m_vis.edge_not_relaxed(e, g); } AStarHeuristic m_h; UniformCostVisitor m_vis; UpdatableQueue& m_Q; PredecessorMap m_predecessor; CostMap m_cost; DistanceMap m_distance; WeightMap m_weight; ColorMap m_color; BinaryFunction m_combine; BinaryPredicate m_compare; C m_zero; }; } // namespace detail template < typename VertexListGraph, typename AStarHeuristic, typename AStarVisitor, typename PredecessorMap, typename CostMap, typename DistanceMap, typename WeightMap, typename ColorMap, typename VertexIndexMap, typename CompareFunction, typename CombineFunction, typename CostInf, typename CostZero > inline void astar_search_no_init(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, AStarVisitor vis, PredecessorMap predecessor, CostMap cost, DistanceMap distance, WeightMap weight, ColorMap color, VertexIndexMap index_map, CompareFunction compare, CombineFunction combine, CostInf /*inf*/, CostZero zero) { typedef typename graph_traits< VertexListGraph >::vertex_descriptor Vertex; typedef boost::vector_property_map< std::size_t, VertexIndexMap > IndexInHeapMap; IndexInHeapMap index_in_heap(index_map); typedef d_ary_heap_indirect< Vertex, 4, IndexInHeapMap, CostMap, CompareFunction > MutableQueue; MutableQueue Q(cost, index_in_heap, compare); detail::astar_bfs_visitor< AStarHeuristic, AStarVisitor, MutableQueue, PredecessorMap, CostMap, DistanceMap, WeightMap, ColorMap, CombineFunction, CompareFunction > bfs_vis(h, vis, Q, predecessor, cost, distance, weight, color, combine, compare, zero); breadth_first_visit(g, s, Q, bfs_vis, color); } namespace graph_detail { template < typename A, typename B > struct select1st { typedef std::pair< A, B > argument_type; typedef A result_type; A operator()(const std::pair< A, B >& p) const { return p.first; } }; } template < typename VertexListGraph, typename AStarHeuristic, typename AStarVisitor, typename PredecessorMap, typename CostMap, typename DistanceMap, typename WeightMap, typename CompareFunction, typename CombineFunction, typename CostInf, typename CostZero > inline void astar_search_no_init_tree(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, AStarVisitor vis, PredecessorMap predecessor, CostMap cost, DistanceMap distance, WeightMap weight, CompareFunction compare, CombineFunction combine, CostInf /*inf*/, CostZero zero) { typedef typename graph_traits< VertexListGraph >::vertex_descriptor Vertex; typedef typename property_traits< DistanceMap >::value_type Distance; typedef d_ary_heap_indirect< std::pair< Distance, Vertex >, 4, null_property_map< std::pair< Distance, Vertex >, std::size_t >, function_property_map< graph_detail::select1st< Distance, Vertex >, std::pair< Distance, Vertex > >, CompareFunction > MutableQueue; MutableQueue Q(make_function_property_map< std::pair< Distance, Vertex > >( graph_detail::select1st< Distance, Vertex >()), null_property_map< std::pair< Distance, Vertex >, std::size_t >(), compare); vis.discover_vertex(s, g); Q.push(std::make_pair(get(cost, s), s)); while (!Q.empty()) { Vertex v; Distance v_rank; boost::tie(v_rank, v) = Q.top(); Q.pop(); vis.examine_vertex(v, g); BGL_FORALL_OUTEDGES_T(v, e, g, VertexListGraph) { Vertex w = target(e, g); vis.examine_edge(e, g); Distance e_weight = get(weight, e); if (compare(e_weight, zero)) BOOST_THROW_EXCEPTION(negative_edge()); bool decreased = relax(e, g, weight, predecessor, distance, combine, compare); combine(get(distance, v), e_weight); if (decreased) { vis.edge_relaxed(e, g); Distance w_rank = combine(get(distance, w), h(w)); put(cost, w, w_rank); vis.discover_vertex(w, g); Q.push(std::make_pair(w_rank, w)); } else { vis.edge_not_relaxed(e, g); } } vis.finish_vertex(v, g); } } // Non-named parameter interface template < typename VertexListGraph, typename AStarHeuristic, typename AStarVisitor, typename PredecessorMap, typename CostMap, typename DistanceMap, typename WeightMap, typename VertexIndexMap, typename ColorMap, typename CompareFunction, typename CombineFunction, typename CostInf, typename CostZero > inline void astar_search(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, AStarVisitor vis, PredecessorMap predecessor, CostMap cost, DistanceMap distance, WeightMap weight, VertexIndexMap index_map, ColorMap color, CompareFunction compare, CombineFunction combine, CostInf inf, CostZero zero) { typedef typename property_traits< ColorMap >::value_type ColorValue; typedef color_traits< ColorValue > Color; typename graph_traits< VertexListGraph >::vertex_iterator ui, ui_end; for (boost::tie(ui, ui_end) = vertices(g); ui != ui_end; ++ui) { put(color, *ui, Color::white()); put(distance, *ui, inf); put(cost, *ui, inf); put(predecessor, *ui, *ui); vis.initialize_vertex(*ui, g); } put(distance, s, zero); put(cost, s, h(s)); astar_search_no_init(g, s, h, vis, predecessor, cost, distance, weight, color, index_map, compare, combine, inf, zero); } // Non-named parameter interface template < typename VertexListGraph, typename AStarHeuristic, typename AStarVisitor, typename PredecessorMap, typename CostMap, typename DistanceMap, typename WeightMap, typename CompareFunction, typename CombineFunction, typename CostInf, typename CostZero > inline void astar_search_tree(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, AStarVisitor vis, PredecessorMap predecessor, CostMap cost, DistanceMap distance, WeightMap weight, CompareFunction compare, CombineFunction combine, CostInf inf, CostZero zero) { typename graph_traits< VertexListGraph >::vertex_iterator ui, ui_end; for (boost::tie(ui, ui_end) = vertices(g); ui != ui_end; ++ui) { put(distance, *ui, inf); put(cost, *ui, inf); put(predecessor, *ui, *ui); vis.initialize_vertex(*ui, g); } put(distance, s, zero); put(cost, s, h(s)); astar_search_no_init_tree(g, s, h, vis, predecessor, cost, distance, weight, compare, combine, inf, zero); } // Named parameter interfaces template < typename VertexListGraph, typename AStarHeuristic, typename P, typename T, typename R > void astar_search(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, const bgl_named_params< P, T, R >& params) { using namespace boost::graph::keywords; typedef bgl_named_params< P, T, R > params_type; BOOST_GRAPH_DECLARE_CONVERTED_PARAMETERS(params_type, params) // Distance type is the value type of the distance map if there is one, // otherwise the value type of the weight map. typedef typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::weight_map, edge_weight_t, VertexListGraph >::type weight_map_type; typedef typename boost::property_traits< weight_map_type >::value_type D; const D inf = arg_pack[_distance_inf || detail::get_max< D >()]; const D zero_actual = D(); const D zero_d = arg_pack[_distance_zero | zero_actual]; null_visitor null_vis; astar_visitor< null_visitor > default_visitor(null_vis); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::visitor, dummy_property_map& >::type vis = arg_pack[_visitor | default_visitor]; dummy_property_map dummy_prop; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::predecessor_map, dummy_property_map& >::type pred_map = arg_pack[_predecessor_map | dummy_prop]; boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::rank_map, D > rank_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::rank_map, D >::map_type r_map = rank_map_gen(g, arg_pack); boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::distance_map, D > dist_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::distance_map, D >::map_type dist_map = dist_map_gen(g, arg_pack); weight_map_type w_map = detail::override_const_property( arg_pack, _weight_map, g, edge_weight); typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::vertex_index_map, vertex_index_t, VertexListGraph >::type v_i_map = detail::override_const_property( arg_pack, _vertex_index_map, g, vertex_index); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::color_map, boost::default_color_type >::map_type c_map = boost::detail::make_color_map_from_arg_pack(g, arg_pack); std::less< D > default_compare; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_compare, std::less< D >& >::type dist_comp = arg_pack[_distance_compare | default_compare]; closed_plus< D > default_combine(inf); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_combine, closed_plus< D >& >::type dist_comb = arg_pack[_distance_combine | default_combine]; astar_search(g, s, h, vis, pred_map, r_map, dist_map, w_map, v_i_map, c_map, dist_comp, dist_comb, inf, zero_d); } template < typename VertexListGraph, typename AStarHeuristic, typename P, typename T, typename R > void astar_search_tree(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, const bgl_named_params< P, T, R >& params) { using namespace boost::graph::keywords; typedef bgl_named_params< P, T, R > params_type; BOOST_GRAPH_DECLARE_CONVERTED_PARAMETERS(params_type, params) // Distance type is the value type of the distance map if there is one, // otherwise the value type of the weight map. typedef typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::weight_map, edge_weight_t, VertexListGraph >::type weight_map_type; typedef typename boost::property_traits< weight_map_type >::value_type D; const D inf = arg_pack[_distance_inf || detail::get_max< D >()]; const D zero_actual = D(); const D zero_d = arg_pack[_distance_zero | zero_actual]; null_visitor null_vis; astar_visitor< null_visitor > default_visitor(null_vis); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::visitor, dummy_property_map& >::type vis = arg_pack[_visitor | default_visitor]; dummy_property_map dummy_prop; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::predecessor_map, dummy_property_map& >::type pred_map = arg_pack[_predecessor_map | dummy_prop]; boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::rank_map, D > rank_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::rank_map, D >::map_type r_map = rank_map_gen(g, arg_pack); boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::distance_map, D > dist_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::distance_map, D >::map_type dist_map = dist_map_gen(g, arg_pack); weight_map_type w_map = detail::override_const_property( arg_pack, _weight_map, g, edge_weight); std::less< D > default_compare; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_compare, std::less< D >& >::type dist_comp = arg_pack[_distance_compare | default_compare]; closed_plus< D > default_combine(inf); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_combine, closed_plus< D >& >::type dist_comb = arg_pack[_distance_combine | default_combine]; astar_search_tree(g, s, h, vis, pred_map, r_map, dist_map, w_map, dist_comp, dist_comb, inf, zero_d); } template < typename VertexListGraph, typename AStarHeuristic, typename P, typename T, typename R > void astar_search_no_init(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, const bgl_named_params< P, T, R >& params) { using namespace boost::graph::keywords; typedef bgl_named_params< P, T, R > params_type; BOOST_GRAPH_DECLARE_CONVERTED_PARAMETERS(params_type, params) typedef typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::weight_map, edge_weight_t, VertexListGraph >::type weight_map_type; typedef typename boost::property_traits< weight_map_type >::value_type D; const D inf = arg_pack[_distance_inf || detail::get_max< D >()]; const D zero_actual = D(); const D zero_d = arg_pack[_distance_zero | zero_actual]; null_visitor null_vis; astar_visitor< null_visitor > default_visitor(null_vis); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::visitor, dummy_property_map& >::type vis = arg_pack[_visitor | default_visitor]; dummy_property_map dummy_prop; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::predecessor_map, dummy_property_map& >::type pred_map = arg_pack[_predecessor_map | dummy_prop]; boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::rank_map, D > rank_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::rank_map, D >::map_type r_map = rank_map_gen(g, arg_pack); boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::distance_map, D > dist_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::distance_map, D >::map_type dist_map = dist_map_gen(g, arg_pack); weight_map_type w_map = detail::override_const_property( arg_pack, _weight_map, g, edge_weight); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::color_map, boost::default_color_type >::map_type c_map = boost::detail::make_color_map_from_arg_pack(g, arg_pack); typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::vertex_index_map, vertex_index_t, VertexListGraph >::type v_i_map = detail::override_const_property( arg_pack, _vertex_index_map, g, vertex_index); std::less< D > default_compare; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_compare, std::less< D >& >::type dist_comp = arg_pack[_distance_compare | default_compare]; closed_plus< D > default_combine(inf); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_combine, closed_plus< D >& >::type dist_comb = arg_pack[_distance_combine | default_combine]; astar_search_no_init(g, s, h, vis, pred_map, r_map, dist_map, w_map, c_map, v_i_map, dist_comp, dist_comb, inf, zero_d); } template < typename VertexListGraph, typename AStarHeuristic, typename P, typename T, typename R > void astar_search_no_init_tree(const VertexListGraph& g, typename graph_traits< VertexListGraph >::vertex_descriptor s, AStarHeuristic h, const bgl_named_params< P, T, R >& params) { using namespace boost::graph::keywords; typedef bgl_named_params< P, T, R > params_type; BOOST_GRAPH_DECLARE_CONVERTED_PARAMETERS(params_type, params) typedef typename boost::detail::override_const_property_result< arg_pack_type, boost::graph::keywords::tag::weight_map, edge_weight_t, VertexListGraph >::type weight_map_type; typedef typename boost::property_traits< weight_map_type >::value_type D; const D inf = arg_pack[_distance_inf || detail::get_max< D >()]; const D zero_actual = D(); const D zero_d = arg_pack[_distance_zero | zero_actual]; null_visitor null_vis; astar_visitor< null_visitor > default_visitor(null_vis); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::visitor, dummy_property_map& >::type vis = arg_pack[_visitor | default_visitor]; dummy_property_map dummy_prop; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::predecessor_map, dummy_property_map& >::type pred_map = arg_pack[_predecessor_map | dummy_prop]; boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::rank_map, D > rank_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::rank_map, D >::map_type r_map = rank_map_gen(g, arg_pack); boost::detail::make_property_map_from_arg_pack_gen< boost::graph::keywords::tag::distance_map, D > dist_map_gen(zero_actual); typename boost::detail::map_maker< VertexListGraph, arg_pack_type, boost::graph::keywords::tag::distance_map, D >::map_type dist_map = dist_map_gen(g, arg_pack); weight_map_type w_map = detail::override_const_property( arg_pack, _weight_map, g, edge_weight); std::less< D > default_compare; typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_compare, std::less< D >& >::type dist_comp = arg_pack[_distance_compare | default_compare]; closed_plus< D > default_combine(inf); typename boost::parameter::binding< arg_pack_type, boost::graph::keywords::tag::distance_combine, closed_plus< D >& >::type dist_comb = arg_pack[_distance_combine | default_combine]; astar_search_no_init_tree(g, s, h, vis, pred_map, r_map, dist_map, w_map, dist_comp, dist_comb, inf, zero_d); } } // namespace boost #endif // BOOST_GRAPH_ASTAR_SEARCH_HPP
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