Moving Genetic Algorithm Based Fuzzy Modeling
Euntai Kim*, Heejin Lee*, Chang-Hoon Lee**, Jung-Hwan Kim**
*Department of Control and Instrumentation Engineer Hankyong National University 67 Sukjung-dong, Ansung, Kyungki, 456-749, Korea
**Department of Electronic Enginerring Yonsei University
We propose an approach to Takagi-Sugeno fuzzy modeling via a genetic algorithm consisting of 2 tuning steps – coarse and fine. A moving genetic algorithm (MGA) is proposed and used for fine tuning to obtain robust modeling results. Simulation results demonstrate the algorithm’s validity.