DocumentCode
2968875
Title
An effective linear approximation method for geometric programming problems
Author
Huang, Chia-Hui ; Kao, Han-Ying
Author_Institution
Dept. of Inf. Manage., Kainan Univ., Taoyuan, Taiwan
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
1743
Lastpage
1747
Abstract
A geometric program (GP) is a type of mathematical optimization problem characterized by objective and constraint functions, where all functions are of posynomial form. The importance of GP comes from two relatively recent developments: (i) new solution methods can solve even large-scale GP extremely efficiently and reliably; (ii) a number of practical problems have recently been found to be equivalent to or approximated by GP. This study proposes an effective linear approximation method for solving geometric programming problems.
Keywords
approximation theory; geometric programming; constraint functions; effective linear approximation method; geometric programming problems; mathematical optimization problem; objective functions; posynomial form; Constraint optimization; Functional programming; Genetic programming; Information management; Information science; Large-scale systems; Linear approximation; Linear programming; Mathematical programming; Polynomials; Geometric programming problem; linear approximation method; posynomial function;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373154
Filename
5373154
Link To Document