osrm-backend/algorithms/trip_nearest_neighbour.hpp
Huyen Chau Nguyen 74e00cf652 fix some small issues:
remove empty unit test

remove compiler directives

move trip related files from routing_algorithms to algorithms

run clang-format on files

fix all std::size_t related issues

improve code by adding std::move()s

clean up includes

fixing several code stye and improvement issues

add several small code improvements

return single scc in SplitUnaccessibleLocations() when theres only one

change ComputeRoute() to return an InternalRouteResult by value

improve some code style issues
2015-09-01 15:20:35 +02:00

122 lines
4.6 KiB
C++

/*
Copyright (c) 2015, Project OSRM contributors
All rights reserved.
Redistribution and use in source and binary forms, with or without modification,
are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list
of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this
list of conditions and the following disclaimer in the documentation and/or
other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR
ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#ifndef TRIP_NEAREST_NEIGHBOUR_HPP
#define TRIP_NEAREST_NEIGHBOUR_HPP
#include "../data_structures/search_engine.hpp"
#include "../util/simple_logger.hpp"
#include "../util/dist_table_wrapper.hpp"
#include <osrm/json_container.hpp>
#include <cstdlib>
#include <algorithm>
#include <string>
#include <vector>
#include <limits>
namespace osrm
{
namespace trip
{
template <typename NodeIDIterator>
std::vector<NodeID> NearestNeighbourTrip(const NodeIDIterator &start,
const NodeIDIterator &end,
const std::size_t number_of_locations,
const DistTableWrapper<EdgeWeight> &dist_table)
{
//////////////////////////////////////////////////////////////////////////////////////////////////
// START GREEDY NEAREST NEIGHBOUR HERE
// 1. grab a random location and mark as starting point
// 2. find the nearest unvisited neighbour, set it as the current location and mark as visited
// 3. repeat 2 until there is no unvisited location
// 4. return route back to starting point
// 5. compute route
// 6. repeat 1-5 with different starting points and choose iteration with shortest trip
// 7. DONE!
//////////////////////////////////////////////////////////////////////////////////////////////////
std::vector<NodeID> route;
route.reserve(number_of_locations);
const auto component_size = std::distance(start, end);
auto shortest_trip_distance = INVALID_EDGE_WEIGHT;
// ALWAYS START AT ANOTHER STARTING POINT
for (auto start_node = start; start_node != end; ++start_node)
{
NodeID curr_node = *start_node;
std::vector<NodeID> curr_route;
curr_route.reserve(component_size);
curr_route.push_back(*start_node);
// visited[i] indicates whether node i was already visited by the salesman
std::vector<bool> visited(number_of_locations, false);
visited[*start_node] = true;
// 3. REPEAT FOR EVERY UNVISITED NODE
EdgeWeight trip_dist = 0;
for (std::size_t via_point = 1; via_point < component_size; ++via_point)
{
EdgeWeight min_dist = INVALID_EDGE_WEIGHT;
NodeID min_id = SPECIAL_NODEID;
// 2. FIND NEAREST NEIGHBOUR
for (auto next = start; next != end; ++next)
{
const auto curr_dist = dist_table(curr_node, *next);
BOOST_ASSERT_MSG(curr_dist != INVALID_EDGE_WEIGHT, "invalid distance found");
if (!visited[*next] && curr_dist < min_dist)
{
min_dist = curr_dist;
min_id = *next;
}
}
BOOST_ASSERT_MSG(min_id != SPECIAL_NODEID, "no next node found");
visited[min_id] = true;
curr_route.push_back(min_id);
trip_dist += min_dist;
curr_node = min_id;
}
// check round trip with this starting point is shorter than the shortest round trip found
// till now
if (trip_dist < shortest_trip_distance)
{
shortest_trip_distance = trip_dist;
route = std::move(curr_route);
}
}
return route;
}
} // end namespace trip
} // end namespace osrm
#endif // TRIP_NEAREST_NEIGHBOUR_HPP