제어로봇시스템학회:학술대회논문집
- 2002.10a
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- Pages.70.1-70
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- 2002
A modified strategy for DNA coding based genetic algorithm and its experiment
- Kyungwon Jang (Wonkwang Univ.) ;
- Taechon Ahn (Wonkwang Univ.) ;
- Lee, Dongyoon (Joongbu Univ.) ;
- Kim, Seonik (Wonkwang Univ.) ;
- Jinhyun Kang (Wonkwang Univ.)
- Published : 2002.10.01
Abstract
In the fuzzy applications and theories, it is very important to consider how to design the optimal fuzzy model from short training data, in order to construct the reasonable fuzzy model for identifying the practical process. There are several concerns to be confirmed for efficient fuzzy model design. One of concern is the optimization problem of the fuzzy model. In various applications, the genetic algorithm is widely applied to obtain optimal fuzzy model and other cases that adopt evolutionary mechanism of the nature. If we use natural selection and multiplication operation of the genetic algorithm, early convergence to local minimum can be occurred. In other word, we can find only optimum...
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