Title :
A FFACGO for Constrained Global Optimization
Author :
Wang, Weixiang ; Shang, Youlin
Author_Institution :
Dept. of Math., Shanghai Second Polytech. Univ., Shanghai, China
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.176
