TY - GEN
T1 - A novel filled function for unconstrained global optimization
AU - Wang, Weixiang
AU - Shang, Youlin
AU - Zhang, Liansheng
PY - 2009
Y1 - 2009
N2 - In this paper, we present a novel filled function approach for finding better minimizer of an unconstrained global optimization. The proposed new filled function contains no parameters, it has more advantages over those with parameters and have wide applications in real world life. Moreover, the iterations process in the proposed filled function algorithm can be easily actualized. we also make a numerical test to demonstrate the efficiency of the proposed approach. The numerical results show that our filled function approach is efficient and reliable.
AB - In this paper, we present a novel filled function approach for finding better minimizer of an unconstrained global optimization. The proposed new filled function contains no parameters, it has more advantages over those with parameters and have wide applications in real world life. Moreover, the iterations process in the proposed filled function algorithm can be easily actualized. we also make a numerical test to demonstrate the efficiency of the proposed approach. The numerical results show that our filled function approach is efficient and reliable.
KW - Filled function approach
KW - Parameter-free filled function
KW - Unconstrained global optimization
UR - http://www.scopus.com/inward/record.url?scp=70349978833&partnerID=8YFLogxK
U2 - 10.1117/12.836873
DO - 10.1117/12.836873
M3 - Conference contribution
AN - SCOPUS:70349978833
SN - 9780819478016
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - PIAGENG 2009 - Intelligent Information, Control, and Communication Technology for Agricultural Engineering
T2 - PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Y2 - 11 July 2009 through 12 July 2009
ER -