대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1999년도 하계학술대회 논문집 B
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- Pages.522-524
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- 1999
바이러스-진화 유전 알고리즘을 이용한 비선형 시스템의 퍼지모델링
Fuzzy Modeling for Nonlinear Systems Using Virus-Evolutionary Genetic Algorithm
- Lee, Seung-Jun (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
- Joo, Young-Hoon (Dept. of Control & Instrumentation Engineering, Kunsan National Univ.) ;
- Chang, Wook (Dept. of Electrical & Computer Engineering, Yonsei Univ.) ;
- Park, Jin-Bae (Dept. of Electrical & Computer Engineering, Yonsei Univ.)
- 발행 : 1999.07.19
초록
This paper addresses the systematic approach to the fuzzy modeling of the class of complex and uncertain nonlinear systems. While the conventional genetic algorithm (GA) only searches the global solution, Virus-Evolutionary Genetic Algorithm(VEGA) can search the global and local optimal solution simultaneously. In the proposed method the parameter and the structure of the fuzzy model are automatically identified at the same time by using VEGA. To show the effectiveness and the feasibility of the proposed method, a numerical example is provided. The performance of the proposed method is compared with that of conventional GA.
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