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 :
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