A Multiple Population Genetic Algorithm and its Application in Fuzzy Controller

Author

Tian, Yukang ; Vu, Huy Quan

Author_Institution

Dept. of Electr. Inf., Wuhan Univ. of Sci. & Eng., Wuhan, China

fYear

2010

fDate

2-4 April 2010

Firstpage

729

Lastpage

733

Abstract

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.

Keywords

control system synthesis; fuzzy control; genetic algorithms; nonlinear control systems; pendulums; fuzzy controller application; inverted pendulum; multiple population genetic algorithm; optimization technique; Algorithm design and analysis; Control systems; Convergence; Fuzzy control; Fuzzy sets; Fuzzy systems; Genetic algorithms; Information security; Information technology; Optimal control; fuzzy control; genetic algorithm; inverted pendulum;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on

Conference_Location

Jinggangshan

Print_ISBN

978-1-4244-6730-3

Electronic_ISBN

978-1-4244-6743-3

Type

conf

DOI

10.1109/IITSI.2010.43

Filename

5453703