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A multiple population genetic algorithm and its application in fuzzy controller
conference contribution
posted on 2010-01-01, 00:00 authored by Y Tian, Huy Quan VuGenetic Algorithm is an important optimization technique, though its application in Fuzzy system is usually limited by problems like local optimal and premature convergence. With an aim to improve the performance of simple Genetic Algorithm, we propose a multi-population genetic algorithm MP-GA which uses two populations collaborating with each other, and apply it to fuzzy controller design to optimize its control rules. The simulation results of Inverted Pendulum demonstrate the effectiveness of this proposed method.
History
Event
International Symposium on Intelligent Information Technology and Security Informatics (3rd : 2010 : Jinggangshan, China)Pagination
729 - 733Publisher
IEEELocation
Jinggangshan, ChinaPlace of publication
Piscataway, N.J.Start date
2010-04-02End date
2010-04-04ISBN-13
9780769540207Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2010, IEEEEditor/Contributor(s)
F Yu, X Peng, H Liu, J Shu, R NgTitle of proceedings
IITSI 2010 : Proceedings of the 3rd International Symposium on Intelligent Information Technology and Security InformaticsUsage metrics
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