Adaptive fuzzy particle swarm optimization

버전 2.0.0 (8.69 KB) 작성자: dong liu

adaptive fuzzy particle swarm optimization for system parameter identification and other optimization problems.

팔로우

4.3

(3)

다운로드 수: 996

업데이트 날짜: 2021/7/24

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In order to realize an adaptive parameter tuning of heuristic optimization algorithm, to

avoid the algorithm falling into the local optimum, and to improve the accuracy of the algorithm

to solve the parameter identification problem, an adaptive fuzzy particle swarm optimization

(AFPSO) is proposed to improve the basic algorithm from three aspects of automatic tuning in

parameters, population topologies and mutation characteristics.

인용 양식

Liu, Dong, et al. “Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization.” Energies, vol. 12, no. 20, MDPI AG, Oct. 2019, p. 3903, doi:10.3390/en12203903.

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개발 환경: R2014a

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AFVNSPSO_selfrun.m

common

operator

버전	게시됨	릴리스 정보
2.0.0	2021/7/24	a simplified version	다운로드
1.0.0	2021/1/15		다운로드

MLA	Liu, Dong, et al. “Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization.” Energies, vol. 12, no. 20, MDPI AG, Oct. 2019, p. 3903, doi:10.3390/en12203903.
APA	Liu, D., Xiao, Z., Li, H., Liu, D., Hu, X., & Malik, O. P. (2019). Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization. Energies, 12(20), 3903. MDPI AG. Retrieved from https://doi.org/10.3390%2Fen12203903
BibTeX	@article{Liu_2019, doi = {10.3390/en12203903}, url = {https://doi.org/10.3390%2Fen12203903}, year = 2019, month = {oct}, publisher = {{MDPI} {AG}}, volume = {12}, number = {20}, pages = {3903}, author = {Dong Liu and Zhihuai Xiao and Hongtao Li and Dong Liu and Xiao Hu and O.P. Malik}, title = {Accurate Parameter Estimation of a Hydro-Turbine Regulation System Using Adaptive Fuzzy Particle Swarm Optimization}, journal = {Energies} }