A multiple population genetic algorithm and its application in fuzzy controller Tian, Yukang and Vu, Huy Quan 2010, A multiple population genetic algorithm and its application in fuzzy controller, in IITSI 2010 : Proceedings of the 3rd International Symposium on Intelligent Information Technology and Security Informatics, IEEE, Piscataway, N.J., pp. 729-733. Attached Files Name Description MIMEType Size Downloads Title A multiple population genetic algorithm and its application in fuzzy controller Author(s) Tian, Yukang Vu, Huy Quan Conference name International Symposium on Intelligent Information Technology and Security Informatics (3rd : 2010 : Jinggangshan, China) Conference location Jinggangshan, China Conference dates 2-4 Apr. 2010 Title of proceedings IITSI 2010 : Proceedings of the 3rd International Symposium on Intelligent Information Technology and Security Informatics Editor(s) Yu, Fei Peng, Xuange Liu, Haiwen Shu, Jian Ng, Roy Publication date 2010 Conference series International Symposium on Intelligent Information Technology and Security Informatics Start page 729 End page 733 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) genetic algorithm fuzzy control inverted pendulum Summary Genetic 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. ISBN 9780769540207 Language eng Field of Research 080503 Networking and Communications Socio Economic Objective 890199 Communication Networks and Services not elsewhere classified HERDC Research category E1 Full written paper - refereed HERDC collection year 2010 Copyright notice ©2010, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30034425 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology   Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 29 Apr 2011, 11:50:49 EST Wed, 04 May 2011, 17:07:26 EST Wed, 04 May 2011, 17:10:07 EST Thu, 05 May 2011, 15:07:57 EST Mon, 09 May 2011, 11:56:36 EST Mon, 09 May 2011, 12:09:35 EST Mon, 09 May 2011, 12:11:37 EST Mon, 09 May 2011, 12:12:26 EST Mon, 09 May 2011, 12:13:26 EST Mon, 09 May 2011, 12:15:29 EST Tue, 10 May 2011, 10:59:09 EST Fri, 16 Mar 2012, 18:52:57 EST Fri, 06 Feb 2015, 10:44:35 EST Mon, 12 Oct 2015, 15:04:49 EST Sat, 19 Mar 2022, 01:33:30 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 422 Abstract Views, 21 File Downloads  -  Detailed Statistics Created: Fri, 29 Apr 2011, 11:50:36 EST by Sandra Dunoon