Moving Genetic Algorithm Based Fuzzy Modeling
Euntai Kim, Heejin Lee, Changhoon Lee, Junghwan Kim · Journal of Advanced Computational Intelligence and Intelligent Informatics · 1999
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.