Full Text:   <2289>

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CLC number: TP391.7

On-line Access: 2015-05-05

Received: 2014-12-08

Revision Accepted: 2015-03-29

Crosschecked: 2015-04-10

Cited: 0

Clicked: 6009

Citations:  Bibtex RefMan EndNote GB/T7714


Xiao Liu


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Frontiers of Information Technology & Electronic Engineering  2015 Vol.16 No.5 P.380-390


HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Author(s):  Xiao Liu, Jia-min Liu, An-xi Cao, Zhuang-le Yao

Affiliation(s):  School of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510640, China; more

Corresponding email(s):   liuxiao@scut.edu.cn

Key Words:  3D packing problem, Layout design, Simulation, Optimization, Constructive algorithm, Meta-heuristics

Xiao Liu, Jia-min Liu, An-xi Cao, Zhuang-le Yao. HAPE3D—a new constructive algorithm for the 3D irregular packing problem[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(5): 380-390.

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We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principle of minimum total potential energy for the 3D irregular packing problem, involving packing a set of irregularly shaped polyhedrons into a box-shaped container with fixed width and length but unconstrained height. The objective is to allocate all the polyhedrons in the container, and thus minimize the waste or maximize profit. HAPE3D can deal with arbitrarily shaped polyhedrons, which can be rotated around each coordinate axis at different angles. The most outstanding merit is that HAPE3D does not need to calculate no-fit polyhedron (NFP), which is a huge obstacle for the 3D packing problem. HAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing. Two groups of computational experiments demonstrate the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm to further improve the packing quality.

The paper is very well written. The problem which the authors tackle (3D Irregular Packing) is a very difficult problem to address, where little research has progressed beyond the use of simple objects (such as rectangles/cubes and cylinders/spheres). Expanding the current knowledge regarding 3D packing with irregular pieces is a very important step considering industrial requirements, and possible efficiency gains (including waste reduction). Those approaches are a good and interesting contribution to the 3D irregular packing problem research area.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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