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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2020.9
- 수록면
- 287 - 297 (11page)
- DOI
- 10.7315/CDE.2020.287
이용수
초록· 키워드
오류제보하기
Differential Evolution (DE) is a widely used evolutionary algorithm among many metaheuristic algorithms to solve global optimization problems. In this study, an auto-tuning method of the population size in DE was proposed and adopted the previous methods for the crossover rate and the scale factor based on DE to solve engineering optimization problems with constraints. Five engineering optimization problems were selected from literature and the proposed algorithm was evaluated while comparing with the fixed population size. The proposed method shows both comparable convergence performance and possibility of generalization of DE method to handle various problems with ease.
목차
ABSTRACT
1. 서론
2. jDE2의 과정
3. 개체 수 조율과 DE 알고리즘
4. 수치 실험 환경
5. 수치 실험 결과
6. 결론
References
참고문헌 (11)
참고문헌 신청
Opara, K.R. and Arabas, J., 2019, Differential Evolution: A Survey of Theoretical Analyses, Swarm and Evolutionary Computation, 44, pp.546-558.
Zhang, J. and Dong, Z., 2019, Parameter Combination Framework for the Differential Evolution Algorithm, Algorithms, 12(4), 71; doi:10.3390/ a12040071.
Tanabe, R. and Fukunaga, A., 2013, Success- History Based Parameter Adaptation for Differential Evolution, IEEE CEC 2013, pp.71-78.
Polakova, R., Tvrdik, J. and Bujok, P., 2019, Differential Evolution with Adaptive Mechanism of Population Size according to Current Population Diversity, Swarm and Evolutionary Computation, 50, doi:10.1016/j.swevo.2019.03.014.
Lee, S.J., 2018, Parameter-less Differential Evolution for Constrained Engineering Optimization, Korean Journal of Computational Design and Engineering, 23(2), pp.81-91.
Zhang, J. and Dong, Z., 2019, Parameter Combination Framework for the Differential Evolution Algorithm, Algorithms, 12(4), 71; doi:10.3390/ a12040071.
Tanabe, R. and Fukunaga, A., 2013, Success- History Based Parameter Adaptation for Differential Evolution, IEEE CEC 2013, pp.71-78.
Polakova, R., Tvrdik, J. and Bujok, P., 2019, Differential Evolution with Adaptive Mechanism of Population Size according to Current Population Diversity, Swarm and Evolutionary Computation, 50, doi:10.1016/j.swevo.2019.03.014.
Lee, S.J., 2018, Parameter-less Differential Evolution for Constrained Engineering Optimization, Korean Journal of Computational Design and Engineering, 23(2), pp.81-91.
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UCI(KEPA) : I410-ECN-0101-2020-530-001160042