JACIII Vol.3 No.4 pp. 320-325
doi: 10.20965/jaciii.1999.p0320


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

August 10, 1998
September 7, 1998
August 20, 1999
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:

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, Opera.

Last updated on Jun. 03, 2024