Packing Irregular Objects in 3D Space via Hybrid Optimization

Packing problems arise in a wide variety of practical applications. The basic problem is that of placing as many objects as possible in a non‐overlapping configuration within a given container. Problems involving irregular shapes are the most challenging cases. In this paper, we consider the most ge...

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Veröffentlicht in:Computer graphics forum Jg. 37; H. 5; S. 49 - 59
Hauptverfasser: Ma, Y., Chen, Z., Hu, W., Wang, W.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Blackwell Publishing Ltd 01.08.2018
Schlagworte:
1.3.5 [Computer Graphics]: Computational Geometry and Object Modeling—Geometric algorithms, languages, and systems
Categories and Subject Descriptors (according to ACM CCS)
Combinatorial analysis
Containers
Heuristic methods
Optimization
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:Packing problems arise in a wide variety of practical applications. The basic problem is that of placing as many objects as possible in a non‐overlapping configuration within a given container. Problems involving irregular shapes are the most challenging cases. In this paper, we consider the most general forms of irregular shape packing problems in 3D space, where both the containers and the objects can be of any shapes, and free rotations of the objects are allowed. We propose a heuristic method for efficiently packing irregular objects by combining continuous optimization and combinatorial optimization. Starting from an initial placement of an appropriate number of objects, we optimize the positions and orientations of the objects using continuous optimization. In combinatorial optimization, we further reduce the gaps between objects by swapping and replacing the deployed objects and inserting new objects. We demonstrate the efficacy of our method with experiments and comparisons.
Bibliographie:ObjectType-Article-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.13490