Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)
- Volume 2 Issue 3
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- Pages.58-67
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- 1992
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- 1976-9172(pISSN)
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- 2288-2324(eISSN)
Application of Genetic Algorithm to Hybrid Fuzzy Inference Engine
- Park, Sae-hie (Dept. of Electronic Eningeering. Chung-Ang Univ.) ;
- Chung, Sun-tae (Dept.of electronic Eningeering, Soong-Sil Univ.) ;
- Jeon, Hong-tae (Dept. of Electronic Eningeering, Chung-Ang Univ.)
- Published : 1992.09.01
Abstract
This paper presents a method on applying Genetric Algorithms(GA), which is a well-know high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilized Sugeno's hybrid inference method. which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the iptimal parameters in the FLC. The proposed approach will be demonstrated using 2 d. o. f robot manipulator to verify its effectiveness.
Keywords