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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.9
- 수록면
- 428 - 433 (6page)
- DOI
- 10.4283/JMAG.2020.25.3.428
이용수
초록· 키워드
오류제보하기
Recently, many design problems in the field of electrical engineering tend to be more complex, which are characterized by large scale in size, strong nonlinearity for performance analysis, and multi-dimensional design parameters. Therefore, it is not easy to seek for optimum effectively by traditional optimization algorithms. In order to solve optimal design of complex practical problems, in this paper, a novel hybrid optimization algorithm based on the differential evolution algorithm and the black hole theory is proposed and investigated. The differential evolution (DE) algorithm owns good diversity and flexibility, while the black-hole based optimization algorithm (BHBO) possesses faster convergence. In addition, these two algorithms have simple structures. The proposed algorithm with better merits combination may guarantee better convergence and stronger robustness than its independent counterparts of DE and BHBO. The searching performance is deeply investigated through numerical experiments on benchmark functions and practical electromagnetic applications.
목차
1. Introduction
2. Hybrid Optimization Algorithm of Black Hole and Differential Evolution (BHDE)
3. Numerical Applications of Proposed Algorithm
4. Conclusion
References
참고문헌 (12)
참고문헌 신청
R. Storn / 1997 / J. Global Optim 341
Minh-Trien Pham / 2010 / Coupling Particles Swarm Optimization for Multimodal Electromagnetic Problems / Journal of Electrical Engineering & Technology 5(3):423~430
M. -T. Pham / 2011 / IEEE Trans. Magn 47:4163
Hotssem R. E. H. Bouchekara / 2013 / IEEE Trans. Magn 49:5709
G. C. Tenaglia / 2014 / IEEE Trans. Magn 50:7015404
Minh-Trien Pham / 2010 / Coupling Particles Swarm Optimization for Multimodal Electromagnetic Problems / Journal of Electrical Engineering & Technology 5(3):423~430
M. -T. Pham / 2011 / IEEE Trans. Magn 47:4163
Hotssem R. E. H. Bouchekara / 2013 / IEEE Trans. Magn 49:5709
G. C. Tenaglia / 2014 / IEEE Trans. Magn 50:7015404
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