Open AccessMoving Genetic Algorithm Based Fuzzy Modeling
Author(s) -
Euntai Kim,
Heejin Lee,
Changhoon Lee,
Junghwan Kim
Publication year - 1999
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1883-8014
pISSN - 1343-0130
DOI - 10.20965/jaciii.1999.p0320
Subject(s) - computer science , genetic algorithm , fuzzy logic , algorithm , artificial intelligence , machine learning
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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