diff DEPENDENCIES/generic/include/boost/graph/metric_tsp_approx.hpp @ 16:2665513ce2d3

Add boost headers

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/DEPENDENCIES/generic/include/boost/graph/metric_tsp_approx.hpp	Tue Aug 05 11:11:38 2014 +0100
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+
+//=======================================================================
+// Copyright 2008
+// Author: Matyas W Egyhazy
+//
+// 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_METRIC_TSP_APPROX_HPP
+#define BOOST_GRAPH_METRIC_TSP_APPROX_HPP
+
+// metric_tsp_approx
+// Generates an approximate tour solution for the traveling salesperson
+// problem in polynomial time. The current algorithm guarantees a tour with a
+// length at most as long as 2x optimal solution. The graph should have
+// 'natural' (metric) weights such that the triangle inequality is maintained.
+// Graphs must be fully interconnected.
+
+// TODO:
+// There are a couple of improvements that could be made.
+// 1) Change implementation to lower uppper bound Christofides heuristic
+// 2) Implement a less restrictive TSP heuristic (one that does not rely on
+//    triangle inequality).
+// 3) Determine if the algorithm can be implemented without creating a new
+//    graph.
+
+#include <vector>
+
+#include <boost/shared_ptr.hpp>
+#include <boost/concept_check.hpp>
+#include <boost/graph/graph_traits.hpp>
+#include <boost/graph/graph_as_tree.hpp>
+#include <boost/graph/adjacency_list.hpp>
+#include <boost/graph/prim_minimum_spanning_tree.hpp>
+#include <boost/graph/lookup_edge.hpp>
+#include <boost/throw_exception.hpp>
+
+namespace boost
+{
+    // Define a concept for the concept-checking library.
+    template <typename Visitor, typename Graph>
+    struct TSPVertexVisitorConcept
+    {
+    private:
+        Visitor vis_;
+    public:
+        typedef typename graph_traits<Graph>::vertex_descriptor Vertex;
+
+        BOOST_CONCEPT_USAGE(TSPVertexVisitorConcept)
+        {
+            Visitor vis(vis_);  // require copy construction
+            Graph g(1);
+            Vertex v(*vertices(g).first);
+            vis_.visit_vertex(v, g); // require visit_vertex
+        }
+    };
+
+    // Tree visitor that keeps track of a preorder traversal of a tree
+    // TODO: Consider migrating this to the graph_as_tree header.
+    // TODO: Parameterize the underlying stores o it doesn't have to be a vector.
+    template<typename Node, typename Tree> class PreorderTraverser
+    {
+    private:
+        std::vector<Node>& path_;
+    public:
+        typedef typename std::vector<Node>::const_iterator const_iterator;
+
+        PreorderTraverser(std::vector<Node>& p) : path_(p) {}
+
+        void preorder(Node n, const Tree&)
+        { path_.push_back(n); }
+
+        void inorder(Node, const Tree&) const {}
+        void postorder(Node, const Tree&) const {}
+
+        const_iterator begin() const { return path_.begin(); }
+        const_iterator end() const { return path_.end(); }
+    };
+
+    // Forward declarations
+    template <typename> class tsp_tour_visitor;
+    template <typename, typename, typename, typename> class tsp_tour_len_visitor;
+
+    template<typename VertexListGraph, typename OutputIterator>
+    void metric_tsp_approx_tour(VertexListGraph& g, OutputIterator o)
+    {
+        metric_tsp_approx_from_vertex(g, *vertices(g).first,
+            get(edge_weight, g), get(vertex_index, g),
+            tsp_tour_visitor<OutputIterator>(o));
+    }
+
+    template<typename VertexListGraph, typename WeightMap, typename OutputIterator>
+    void metric_tsp_approx_tour(VertexListGraph& g, WeightMap w, OutputIterator o)
+    {
+        metric_tsp_approx_from_vertex(g, *vertices(g).first,
+            w, tsp_tour_visitor<OutputIterator>(o));
+    }
+
+    template<typename VertexListGraph, typename OutputIterator>
+    void metric_tsp_approx_tour_from_vertex(VertexListGraph& g,
+        typename graph_traits<VertexListGraph>::vertex_descriptor start,
+        OutputIterator o)
+    {
+        metric_tsp_approx_from_vertex(g, start, get(edge_weight, g),
+            get(vertex_index, g), tsp_tour_visitor<OutputIterator>(o));
+    }
+
+    template<typename VertexListGraph, typename WeightMap,
+        typename OutputIterator>
+    void metric_tsp_approx_tour_from_vertex(VertexListGraph& g,
+    typename graph_traits<VertexListGraph>::vertex_descriptor start,
+        WeightMap w, OutputIterator o)
+    {
+        metric_tsp_approx_from_vertex(g, start, w, get(vertex_index, g),
+            tsp_tour_visitor<OutputIterator>(o));
+    }
+
+    template<typename VertexListGraph, typename TSPVertexVisitor>
+    void metric_tsp_approx(VertexListGraph& g, TSPVertexVisitor vis)
+    {
+        metric_tsp_approx_from_vertex(g, *vertices(g).first,
+            get(edge_weight, g), get(vertex_index, g), vis);
+    }
+
+    template<typename VertexListGraph, typename Weightmap,
+        typename VertexIndexMap, typename TSPVertexVisitor>
+    void metric_tsp_approx(VertexListGraph& g, Weightmap w,
+        TSPVertexVisitor vis)
+    {
+        metric_tsp_approx_from_vertex(g, *vertices(g).first, w,
+            get(vertex_index, g), vis);
+    }
+
+    template<typename VertexListGraph, typename WeightMap,
+        typename VertexIndexMap, typename TSPVertexVisitor>
+    void metric_tsp_approx(VertexListGraph& g, WeightMap w, VertexIndexMap id,
+        TSPVertexVisitor vis)
+    {
+        metric_tsp_approx_from_vertex(g, *vertices(g).first, w, id, vis);
+    }
+
+    template<typename VertexListGraph, typename WeightMap,
+        typename TSPVertexVisitor>
+    void metric_tsp_approx_from_vertex(VertexListGraph& g,
+    typename graph_traits<VertexListGraph>::vertex_descriptor start,
+        WeightMap w, TSPVertexVisitor vis)
+    {
+        metric_tsp_approx_from_vertex(g, start, w, get(vertex_index, g), vis);
+    }
+
+    template <
+        typename VertexListGraph,
+        typename WeightMap,
+        typename VertexIndexMap,
+        typename TSPVertexVisitor>
+    void metric_tsp_approx_from_vertex(const VertexListGraph& g,
+                                       typename graph_traits<VertexListGraph>::vertex_descriptor start,
+                                       WeightMap weightmap,
+                                       VertexIndexMap indexmap,
+                                       TSPVertexVisitor vis)
+    {
+        using namespace boost;
+        using namespace std;
+
+        BOOST_CONCEPT_ASSERT((VertexListGraphConcept<VertexListGraph>));
+        BOOST_CONCEPT_ASSERT((TSPVertexVisitorConcept<TSPVertexVisitor, VertexListGraph>));
+
+        // Types related to the input graph (GVertex is a template parameter).
+        typedef typename graph_traits<VertexListGraph>::vertex_descriptor GVertex;
+        typedef typename graph_traits<VertexListGraph>::vertex_iterator GVItr;
+
+        // We build a custom graph in this algorithm.
+        typedef adjacency_list <vecS, vecS, directedS, no_property, no_property > MSTImpl;
+        typedef graph_traits<MSTImpl>::vertex_descriptor Vertex;
+        typedef graph_traits<MSTImpl>::vertex_iterator VItr;
+
+        // And then re-cast it as a tree.
+        typedef iterator_property_map<vector<Vertex>::iterator, property_map<MSTImpl, vertex_index_t>::type> ParentMap;
+        typedef graph_as_tree<MSTImpl, ParentMap> Tree;
+        typedef tree_traits<Tree>::node_descriptor Node;
+
+        // A predecessor map.
+        typedef vector<GVertex> PredMap;
+        typedef iterator_property_map<typename PredMap::iterator, VertexIndexMap> PredPMap;
+
+        PredMap preds(num_vertices(g));
+        PredPMap pred_pmap(preds.begin(), indexmap);
+
+        // Compute a spanning tree over the in put g.
+        prim_minimum_spanning_tree(g, pred_pmap,
+             root_vertex(start)
+            .vertex_index_map(indexmap)
+            .weight_map(weightmap));
+
+        // Build a MST using the predecessor map from prim mst
+        MSTImpl mst(num_vertices(g));
+        std::size_t cnt = 0;
+        pair<VItr, VItr> mst_verts(vertices(mst));
+        for(typename PredMap::iterator vi(preds.begin()); vi != preds.end(); ++vi, ++cnt)
+        {
+            if(indexmap[*vi] != cnt) {
+                add_edge(*next(mst_verts.first, indexmap[*vi]),
+                         *next(mst_verts.first, cnt), mst);
+            }
+        }
+
+        // Build a tree abstraction over the MST.
+        vector<Vertex> parent(num_vertices(mst));
+        Tree t(mst, *vertices(mst).first,
+            make_iterator_property_map(parent.begin(),
+            get(vertex_index, mst)));
+
+        // Create tour using a preorder traversal of the mst
+        vector<Node> tour;
+        PreorderTraverser<Node, Tree> tvis(tour);
+        traverse_tree(indexmap[start], t, tvis);
+
+        pair<GVItr, GVItr> g_verts(vertices(g));
+        for(PreorderTraverser<Node, Tree>::const_iterator curr(tvis.begin());
+            curr != tvis.end(); ++curr)
+        {
+            // TODO: This is will be O(n^2) if vertex storage of g != vecS.
+            GVertex v = *next(g_verts.first, get(vertex_index, mst)[*curr]);
+            vis.visit_vertex(v, g);
+        }
+
+        // Connect back to the start of the tour
+        vis.visit_vertex(start, g);
+    }
+
+    // Default tsp tour visitor that puts the tour in an OutputIterator
+    template <typename OutItr>
+    class tsp_tour_visitor
+    {
+        OutItr itr_;
+    public:
+        tsp_tour_visitor(OutItr itr)
+            : itr_(itr)
+        { }
+
+        template <typename Vertex, typename Graph>
+        void visit_vertex(Vertex v, const Graph&)
+        {
+            BOOST_CONCEPT_ASSERT((OutputIterator<OutItr, Vertex>));
+            *itr_++ = v;
+        }
+
+    };
+
+    // Tsp tour visitor that adds the total tour length.
+    template<typename Graph, typename WeightMap, typename OutIter, typename Length>
+    class tsp_tour_len_visitor
+    {
+        typedef typename graph_traits<Graph>::vertex_descriptor Vertex;
+        BOOST_CONCEPT_ASSERT((OutputIterator<OutIter, Vertex>));
+
+        OutIter iter_;
+        Length& tourlen_;
+        WeightMap& wmap_;
+        Vertex previous_;
+
+        // Helper function for getting the null vertex.
+        Vertex null()
+        { return graph_traits<Graph>::null_vertex(); }
+
+    public:
+        tsp_tour_len_visitor(Graph const&, OutIter iter, Length& l, WeightMap map)
+            : iter_(iter), tourlen_(l), wmap_(map), previous_(null())
+        { }
+
+        void visit_vertex(Vertex v, const Graph& g)
+        {
+            typedef typename graph_traits<Graph>::edge_descriptor Edge;
+
+            // If it is not the start, then there is a
+            // previous vertex
+            if(previous_ != null())
+            {
+                // NOTE: For non-adjacency matrix graphs g, this bit of code
+                // will be linear in the degree of previous_ or v. A better
+                // solution would be to visit edges of the graph, but that
+                // would require revisiting the core algorithm.
+                Edge e;
+                bool found;
+                boost::tie(e, found) = lookup_edge(previous_, v, g);
+                if(!found) {
+                    BOOST_THROW_EXCEPTION(not_complete());
+                }
+
+                tourlen_ += wmap_[e];
+            }
+
+            previous_ = v;
+            *iter_++ = v;
+        }
+    };
+
+    // Object generator(s)
+    template <typename OutIter>
+    inline tsp_tour_visitor<OutIter>
+    make_tsp_tour_visitor(OutIter iter)
+    { return tsp_tour_visitor<OutIter>(iter); }
+
+    template <typename Graph, typename WeightMap, typename OutIter, typename Length>
+    inline tsp_tour_len_visitor<Graph, WeightMap, OutIter, Length>
+    make_tsp_tour_len_visitor(Graph const& g, OutIter iter, Length& l, WeightMap map)
+    { return tsp_tour_len_visitor<Graph, WeightMap, OutIter, Length>(g, iter, l, map); }
+
+} //boost
+
+#endif // BOOST_GRAPH_METRIC_TSP_APPROX_HPP