JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Optimization of Fuzzy Car Controller Using Genetic Algorithm |
| 영문제목(English Title) |
Optimization of Fuzzy Car Controller Using Genetic Algorithm |
| 저자(Author) |
Bong-Gi Kim
Jin-kook Song
Chang-Doon Shin
|
| 원문수록처(Citation) |
VOL 06 NO. 02 PP. 0222 ~ 0227 (2008. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The important problem in designing a Fuzzy Logic Controller(FLC) is generation of fuzzy control rules and it is usually the case that they are given by human experts of the problem domain. However, it is difficult to find an well-trained expert to any given problem. In this paper, I describes an application of genetic algorithm, a well-known global search algorithm to automatic generation of fuzzy control rules for FLC design. Fuzzy rules are automatically generated by evolving initially given fuzzy rules and membership functions associated fuzzy linguistic terms. Using genetic algorithm efficient fuzzy rules can be generated without any prior knowledge about the domain problem. In addition expert knowledge can be easily incorporated into rule generation for performance enhancement. We experimented genetic algorithm with a non-trivial vehicle controling problem. Our experimental results showed that genetic algorithm is efficient for designing any complex control system and the resulting system is robust.
|
| 키워드(Keyword) |
Genetic algorithm
Fuzzy car controller
Optimization
|
| 파일첨부 |
PDF 다운로드
|
