Geometric Programming with Discrete Variables Subject to Max-Product Fuzzy Relation Constraints
Joint Authors
Cao, Bing-Yuan
Yang, Xiao-Peng
Qin, Zejian
Fang, Shu-Cherng
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The problem of geometric programming subject to max-product fuzzy relation constraints with discrete variables is studied.
The major difficulty in solving this problem comes from nonconvexity caused by these product terms in the general geometric function and the max-product relation constraints.
We proposed a 0-1 mixed integer linear programming model and adopted the branch-and-bound scheme to solve the problem.
Numerical experiments confirm that the proposed solution method is effective.
American Psychological Association (APA)
Qin, Zejian& Cao, Bing-Yuan& Fang, Shu-Cherng& Yang, Xiao-Peng. 2018. Geometric Programming with Discrete Variables Subject to Max-Product Fuzzy Relation Constraints. Discrete Dynamics in Nature and Society،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1152283
Modern Language Association (MLA)
Qin, Zejian…[et al.]. Geometric Programming with Discrete Variables Subject to Max-Product Fuzzy Relation Constraints. Discrete Dynamics in Nature and Society No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1152283
American Medical Association (AMA)
Qin, Zejian& Cao, Bing-Yuan& Fang, Shu-Cherng& Yang, Xiao-Peng. Geometric Programming with Discrete Variables Subject to Max-Product Fuzzy Relation Constraints. Discrete Dynamics in Nature and Society. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1152283
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1152283
