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
Received:August 10, 1998Accepted:September 7, 1998Published:August 20, 1999
Keywords:Fuzzy modeling, Moving genetic algorithm
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.
Cite this article as:E. Kim, H. Lee, C. Lee, and J. Kim, “Moving Genetic Algorithm Based Fuzzy Modeling,” J. Adv. Comput. Intell. Intell. Inform., Vol.3 No.4, pp. 320-325, 1999.Data files: