A New Global Optimization Algorithm for Solving Generalized Geometric Programming
Joint Authors
Liu, Li-Xia
Wang, Chun-Feng
Liu, San-Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-01-18
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
A global optimization algorithm for solving generalized geometric programming (GGP) problem is developed based on a new linearization technique.
Furthermore, in order to improve the convergence speed of this algorithm, a new pruning technique is proposed, which can be used to cut away a large part of the current investigated region in which the global optimal solution does not exist.
Convergence of this algorithm is proved, and some experiments are reported to show the feasibility of the proposed algorithm.
American Psychological Association (APA)
Liu, San-Yang& Wang, Chun-Feng& Liu, Li-Xia. 2011. A New Global Optimization Algorithm for Solving Generalized Geometric Programming. Mathematical Problems in Engineering،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-464604
Modern Language Association (MLA)
Liu, San-Yang…[et al.]. A New Global Optimization Algorithm for Solving Generalized Geometric Programming. Mathematical Problems in Engineering No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-464604
American Medical Association (AMA)
Liu, San-Yang& Wang, Chun-Feng& Liu, Li-Xia. A New Global Optimization Algorithm for Solving Generalized Geometric Programming. Mathematical Problems in Engineering. 2011. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-464604
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464604
