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PrusaSlicer-NonPlainar/src/libslic3r/ShortestPath.hpp

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Introduction of a greedy Traveling Salesman Problem algorithm, producing better shortest path estimate than the "closest next neighbor" heuristics. The new greedy algorithm utilizes KD tree for closest end point search, and builds a graph to detect loops. PerimeterGenerator newly uses the optimized TSP algorithm. ExtrusionEntity has been refactored / simplified.
2019-09-26 07:44:38 +00:00
#ifndef slic3r_ShortestPath_hpp_
#define slic3r_ShortestPath_hpp_
#include "libslic3r.h"
#include "ExtrusionEntity.hpp"
#include "Point.hpp"
#include <utility>
#include <vector>
WIP: Consolidation of shortest path calculations, various chaining algorithms are replaced with the improved TSP algorithm.
2019-09-26 15:30:03 +00:00
namespace ClipperLib { class PolyNode; }
Introduction of a greedy Traveling Salesman Problem algorithm, producing better shortest path estimate than the "closest next neighbor" heuristics. The new greedy algorithm utilizes KD tree for closest end point search, and builds a graph to detect loops. PerimeterGenerator newly uses the optimized TSP algorithm. ExtrusionEntity has been refactored / simplified.
2019-09-26 07:44:38 +00:00
namespace Slic3r {
Reworked Traveling Salesman Problem code for simplicity and robustness. The TSP algorithm is newly used for planning of the printing order of objects AND their instances.
2019-09-26 14:39:50 +00:00
std::vector<size_t> chain_points(const Points &points, Point *start_near = nullptr);
Introduction of a greedy Traveling Salesman Problem algorithm, producing better shortest path estimate than the "closest next neighbor" heuristics. The new greedy algorithm utilizes KD tree for closest end point search, and builds a graph to detect loops. PerimeterGenerator newly uses the optimized TSP algorithm. ExtrusionEntity has been refactored / simplified.
2019-09-26 07:44:38 +00:00
std::vector<std::pair<size_t, bool>> chain_extrusion_entities(std::vector<ExtrusionEntity*> &entities, const Point *start_near = nullptr);
Reworked Traveling Salesman Problem code for simplicity and robustness. The TSP algorithm is newly used for planning of the printing order of objects AND their instances.
2019-09-26 14:39:50 +00:00
void reorder_extrusion_entities(std::vector<ExtrusionEntity*> &entities, std::vector<std::pair<size_t, bool>> &chain);
void chain_and_reorder_extrusion_entities(std::vector<ExtrusionEntity*> &entities, const Point *start_near = nullptr);
WIP: Consolidation of shortest path calculations, various chaining algorithms are replaced with the improved TSP algorithm.
2019-09-26 15:30:03 +00:00
std::vector<ClipperLib::PolyNode*> chain_clipper_polynodes(const Points &points, const std::vector<ClipperLib::PolyNode*> &items);
Reworked Traveling Salesman Problem code for simplicity and robustness. The TSP algorithm is newly used for planning of the printing order of objects AND their instances.
2019-09-26 14:39:50 +00:00
// Chain instances of print objects by an approximate shortest path.
// Returns pairs of PrintObject idx and instance of that PrintObject.
class Print;
std::vector<std::pair<size_t, size_t>> chain_print_object_instances(const Print &print);
Introduction of a greedy Traveling Salesman Problem algorithm, producing better shortest path estimate than the "closest next neighbor" heuristics. The new greedy algorithm utilizes KD tree for closest end point search, and builds a graph to detect loops. PerimeterGenerator newly uses the optimized TSP algorithm. ExtrusionEntity has been refactored / simplified.
2019-09-26 07:44:38 +00:00
} // namespace Slic3r
#endif /* slic3r_ShortestPath_hpp_ */
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