Fuzzy logic controlled genetic algorithms
P.Y. Wang, G.S. Wang, Yong Hua Song, A.T. Johns · Proceedings of IEEE 5th International Fuzzy Systems · 2002
The fuzzy logic controlled genetic algorithm (FCGA) is presented, in which two fuzzy logic controllers are implemented to adaptively adjust the crossover rate and mutation rate during the optimization process. The FCGA is implemented in TC++ on a PC486 and tested by a power economic dispatch problem. The comparison between the FCGA and the conventional genetic algorithm (CGAs) is performed, which demonstrates that the FCGA has much better performance.