Title :
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
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;
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
DOI :
10.1109/IITSI.2010.43
