A Multiple Population Genetic Algorithm and Its Application in Fuzzy Controller

被引：0
|
作者：
Tian, Yukang [1 ]
Huy Quan Vu [2 ]
机构：
[1] Wuhan Univ Sci & Engn, Dept Elect Informat, Wuhan, Peoples R China
[2] Deakin Univ, Sch IT, Burwood, Vic 3125, Australia
来源：
2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010) | 2010年
关键词：
genetic algorithm; fuzzy control; inverted pendulum; NETWORKS; DESIGN;
D O I：
10.1109/IITSI.2010.43
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：729 / 733
页数：5
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