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Proceedings Paper

A novel filled function for unconstrained global optimization
Author(s): Weixiang Wang; Youlin Shang; Liansheng Zhang
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Paper Abstract

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.

Paper Details

Date Published: 11 July 2009
PDF: 7 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74901K (11 July 2009); doi: 10.1117/12.836873
Show Author Affiliations
Weixiang Wang, Shanghai Second Polytechnic Univ. (China)
Youlin Shang, Henan Univ. of Science and Technology (China)
Liansheng Zhang, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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