DocumentCode
2451885
Title
A FFACGO for Constrained Global Optimization
Author
Wang, Weixiang ; Shang, Youlin
Author_Institution
Dept. of Math., Shanghai Second Polytech. Univ., Shanghai, China
fYear
2009
fDate
25-26 April 2009
Firstpage
821
Lastpage
824
Abstract
In this paper, a filled function approach for constrained global optimization (FFACGO) is proposed. It is a combination of the idea of filled function method in unconstrained global optimization with the concept of penalty function in constrained optimization. Moreover, this FFACGO can be easily actualized with a process that aims at successively finding better optimizer. The performance of the FFACGO in numerical experiments for several testing functions is quite satisfactory and shows its efficiency.
Keywords
optimisation; constrained global optimization; filled function approach; penalty function; Artificial intelligence; Constraint optimization; Filling; Functional programming; Mathematics; Testing; Constrained global optimization; Filled function; Filled function approach; Nonlinear programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.176
Filename
5159129
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