Genetic algorithm-based optimization of fuzzy logic controller using characteristic parameters
Young Jun Park, Hyung Suck Cho, Dong Hyuk Cha · 2002
A novel optimization algorithm of fuzzy logic controller (FLC) using genetic algorithms (GAs) is proposed. To characterize the major design parameters of an FLC, characteristic parameters are defined which can greatly simplify the design procedure of the FLC. The characteristic parameters are encoded into a chromosome presented as an integer string. The chromosomes are then optimized by maximizing the evaluated fitness through genetic operations, and as a result, the optimized FLC can be obtained. The effectiveness of the proposed algorithm has been verified through a series of simulations for a water level control system.