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Self-optimizing fuzzy controller based on extreme evolution algorithm

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2 Author(s)
Hu Jing-Song ; Comput. Sci. & Eng. Dept., South China Univ. of Technol., Guangzhou, China ; Zheng Qi Lun

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.

Published in:

Evolutionary Computation, 2003. CEC '03. The 2003 Congress on  (Volume:4 )

Date of Conference:

8-12 Dec. 2003