Genetic learning of fuzzy controllers Original Research Article

New methods for designing and analyzing fuzzy controllers are required. Some architectures for integrating genetic algorithms with fuzzy logic controllers, the so called hybrid geno-fuzzy controllers, are introduced and discussed. A new hybrid geno-fuzzy controller based on the algebraic model of the fuzzy controller is proposed. Genetic algorithms are shown to be able to deduce the algebraic model of a simple fuzzy controller used for controlling a truck backer–upper system. The genetic algorithm is further used to tune the coefficients of the deduced algebraic model. The simulated results indicate that the hybrid geno-fuzzy controller is superior to a conventional fuzzy controller.