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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.3 No.1
- 발행연도
- 2008.3
- 수록면
- 125 - 129 (5page)
이용수
초록· 키워드
오류제보하기
A new genetic algorithm for the solution of a multi-tasking problem is presented in this paper. The approach introduces innovative genetic operation that guides the genetic algorithm more directly towards better quality of the population. A wide variety of standard genetic parameters are explored, and results allow the comparison of performance for cases both with and without the new operator. The proposed algorithm improves the convergence speed by reducing the number of generations required to identify a near-optimal solution, significantly reducing the convergence time in each instance.
목차
Abstract
1. Introduction
2. System Setup
3. GA Optimization
4. Experimental Results
5. Conclusions
References
참고문헌 (5)
참고문헌 신청
1. [기타자료] - Goldberg, D. E. / 1997 / “The Design of Innovation: Lessons From Genetic Algorithms, Lessons for the Real World,” Internal Report 98004, Illinois Genetic Algorithms Laboratory, Department of General Engineering, University of Illinois at Urbana- Champaign, Illinois, 1997
2. [보고서] - Whitley D. / 1993 / A Genetic Algorithm Tutorial
3. [학술지(정기간행물)] - Herrera, F. / 2003 / Hybrid Crossover Operators for Real-Coded Genetic Algorithms / An Experimental Study Department of Computer Science and Artificial Intelligence
4. [학술지(정기간행물)] - Beyer, H. G. / 2001 / On self-Adaptive Features In Real-Parameter Evolutionary Algorithms / IEEE Transactions on Evolutionary Computation 5 (3) : 250 ~ 270
5. [학술대회논문] - Darwen P. / 1995 / A Dilemma for Fitness Sharing with a Scaling Function / In Proceeding of IEEE Conference on Evolutionary Computation : 166 ~ 171
2. [보고서] - Whitley D. / 1993 / A Genetic Algorithm Tutorial
3. [학술지(정기간행물)] - Herrera, F. / 2003 / Hybrid Crossover Operators for Real-Coded Genetic Algorithms / An Experimental Study Department of Computer Science and Artificial Intelligence
4. [학술지(정기간행물)] - Beyer, H. G. / 2001 / On self-Adaptive Features In Real-Parameter Evolutionary Algorithms / IEEE Transactions on Evolutionary Computation 5 (3) : 250 ~ 270
5. [학술대회논문] - Darwen P. / 1995 / A Dilemma for Fitness Sharing with a Scaling Function / In Proceeding of IEEE Conference on Evolutionary Computation : 166 ~ 171
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