Application of Genetic Algorithm to Hybrid Fuzzy Inference Engine
Sae-hie Park, Sun-Tae Chung, Hong-tae Jean · Journal of Korean institute of intelligent systems · 1992
This paper presents a method on applying Genetric Algorithms(GA), which is a well-know high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilized Sugeno's hybrid inference method. which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the iptimal parameters in the FLC. The proposed approach will be demonstrated using 2 d. o. f robot manipulator to verify its effectiveness.