Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2002.11c
- /
- Pages.214-217
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- 2002
A Study of Accelerated Evolution Speed of Genetic Algorithm using SVM
SVM을 이용한 유전자 알고리즘의 진화속도 개선 연구
- Kim, Jin-Su (Dept. of Control and Instrumentation Engineering, Korea University) ;
- Son, Sung-Han (Dept. of Control and Instrumentation Engineering, Korea University) ;
- Cho, Byung-Sun (Dept. of Control and Instrumentation Engineering, Korea University) ;
- Park, Kang-Bak (Dept. of Control and Instrumentation Engineering, Korea University) ;
-
Lee, Hee-Churl
;
- Jang, Sang-Geun
- 김진수 (고려대학교 제어계측공학과) ;
- 손성한 (고려대학교 제어계측공학과) ;
- 조병선 (고려대학교 제어계측공학과) ;
- 박강박 (고려대학교 제어계측공학과) ;
-
이희철
(국방과학연구소)
;
- 장상근 (국방과학연구소)
- Published : 2002.11.30
Abstract
The chromosomes of Genetic Algorithm(GA) are classified to be good or not to be by Support vector machines(SVM), and then the only good chromosomes are adopted to the evolution process. By this way, computational load becomes low, so the evolution speed of Genetic Algorithm modified by SVM can be much accelerated than the conventional GA.
Keywords