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.
Original language | English |
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Title of host publication | PIAGENG 2009 - Intelligent Information, Control, and Communication Technology for Agricultural Engineering |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering - Zhangjiajie, China Duration: 11 Jul 2009 → 12 Jul 2009 |
Publication series
Name | Proceedings of SPIE - The International Society for Optical Engineering |
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Volume | 7490 |
ISSN (Print) | 0277-786X |
Conference
Conference | PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering |
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Country/Territory | China |
City | Zhangjiajie |
Period | 11/07/09 → 12/07/09 |
Keywords
- Filled function approach
- Parameter-free filled function
- Unconstrained global optimization
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Wang, W., Shang, Y., & Zhang, L. (2009). A novel filled function for unconstrained global optimization. In PIAGENG 2009 - Intelligent Information, Control, and Communication Technology for Agricultural Engineering Article 74901K (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7490). https://doi.org/10.1117/12.836873