Optimized Packings in Space Engineering Applications: Part I

Yuriy Stoyan, Alexandr Pankratov, Tatiana Romanova, Giorgio Fasano (), János D. Pintér (), Yurij E. Stoian and Andrey Chugay
Additional contact information
Yuriy Stoyan: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Alexandr Pankratov: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Tatiana Romanova: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Giorgio Fasano: Thales Alenia Space
János D. Pintér: Lehigh University
Yurij E. Stoian: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine
Andrey Chugay: Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine

A chapter in Modeling and Optimization in Space Engineering, 2019, pp 395-437 from Springer

Abstract: Abstract Packing optimization problems have a wide spectrum of real-word applications, including transportation, logistics, chemical/civil/mechanical/power/aerospace engineering, shipbuilding, robotics, additive manufacturing, materials science, mineralogy, molecular geometry, nanotechnology, electronic design automation, very large system integration, pattern recognition, biology, and medicine. In space engineering, ever more challenging packing optimization problems have to be solved, requiring dedicated cutting-edge approaches. Two chapters in this volume investigate very demanding packing issues that require advanced solutions. The present chapter provides a bird’s eye view of challenging packing problems in the space engineering framework, offering some insight on possible approaches. The specific issue of packing a given collection of arbitrary polyhedra, with continuous rotations and minimum item-to-item admissible distance, into a convex container of minimum size, is subsequently analyzed in depth, discussing an ad hoc mathematical model and a dedicated solution algorithm. Computational results show the efficiency of the approach proposed. The following (second) chapter examines a class of packing optimization problems in space with consideration to balancing conditions.

Keywords: 05B40; 52C17; 11H16; 90XX; 90CX; 90C30; 49M37; 90C06; 90C11; 90C26; 90C59; 90C90 (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-3-030-10501-3_15

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