Title :
Self-optimizing fuzzy controller based on extreme evolution algorithm
Author :
Jing-Song, Hu ; Lun, Zheng Qi
Author_Institution :
Comput. Sci. & Eng. Dept., South China Univ. of Technol., Guangzhou, China
Abstract :
Extreme evolution algorithm (EEA) is presented to solve fast global optimization problems. The algorithm selects parents according to extreme law but not to the fitness law. Recombining extreme elements obviously accelerates evolution procedure. Secondly, we construct a self-optimizing fuzzy controller based on the EEA. The controller shows a good performance on nonlinear optimization control.
Keywords :
evolutionary computation; fuzzy control; optimisation; extreme evolution algorithm; global optimization problems; nonlinear optimization control; self-optimizing fuzzy controller; Acceleration; Computer science; Fuzzy control; Genetic algorithms; Genetic programming; Optimization methods; Simulated annealing;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299426
