Paper:
Language: English:
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, 1998
Accepted: September 7, 1998
Keywords: Fuzzy modeling, Moving genetic algorithm
Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.3, No.4 pp. 320-325, 1999
Abstract
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.
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