2013
DOI: 10.1134/s0965542513100047
|View full text |Cite
|
Sign up to set email alerts
|

Efficient algorithms for orthogonal packing problems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
16
0

Year Published

2015
2015
2021
2021

Publication Types

Select...
3
2
2

Relationship

0
7

Authors

Journals

citations
Cited by 14 publications
(16 citation statements)
references
References 8 publications
0
16
0
Order By: Relevance
“…To describe a packing entire is used the developed model of potential containers [20,21]. A potential container is an imaginary orthogonal region ( D -dimensional parallelepiped) for which there is free space inside a packing.…”
Section: Developed Algorithms For Working With Orthogonal Polyhedrons 21 Description Of Container Free Spacesmentioning
confidence: 99%
See 1 more Smart Citation
“…To describe a packing entire is used the developed model of potential containers [20,21]. A potential container is an imaginary orthogonal region ( D -dimensional parallelepiped) for which there is free space inside a packing.…”
Section: Developed Algorithms For Working With Orthogonal Polyhedrons 21 Description Of Container Free Spacesmentioning
confidence: 99%
“…of the considered orthogonal polyhedron. When all compound objects consist of only one simple object, then the problem is reduced to the classical problem of orthogonal packing or rectangular cutting [2,20].…”
mentioning
confidence: 99%
“…The problem of packing objects of complex geometric shape has a large number of practical applications in various areas. Solving the problems of cutting industrial materials, rational usage of free spaces (for example, ships or aircraft), geometric surface coverage with specified shapes, modelling the microstructure of composite materials as well as a number of other optimization problems is reduced to packing problem [1][2][3][4][5][6].…”
Section: Introductionmentioning
confidence: 99%
“…The problem of packing objects of irregular geometric shape has a large number of practical applications in various fields, including cutting of industrial materials, layout of spaces (spaces of aircraft, ships and etc. ), covering problems, modeling the microstructure of materials, active electronically scanned arrays generation and other relevant problems [1][2][3][4][5]. All the packing problems including the classic orthogonal packing problem are NP-hard [6,7] and require the use of heuristic [8,9] or metaheuristic optimization algorithms [10][11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%