10 July 2009 A novel filled function for unconstrained global optimization
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Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74901K (2009) https://doi.org/10.1117/12.836873
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
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Weixiang Wang, Youlin Shang, Liansheng Zhang, "A novel filled function for unconstrained global optimization", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74901K (10 July 2009); doi: 10.1117/12.836873; https://doi.org/10.1117/12.836873
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