Self-optimizing fuzzy controller based on extreme evolution algorithm
Jingsong Hu, Zheng Qi Lun · 2004
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.