Open Access
Volume 40, Number 6, December 2022
Page(s) 1385 - 1393
Published online 10 February 2023
  1. HICKS R M, HENNE P A. Wing design by numerical optimization[J]. Journal of Aircraft, 1979, 15(7): 407–413. [Article] [Google Scholar]
  2. POLI R. Analysis of the publications on the applications of particle swarm optimization[J]. Journal of Artificial Evolution and Applications, 2008, 3: 1–10 [Google Scholar]
  3. STORN R, PRICE K. Differential evolution-a simple and efficient Heuristic for global optimization over continuous spaces[J]. Journal Global Optimization, 1997, 11: 341–359. [Article] [Google Scholar]
  4. YIGIT M E, GUNEL T. Pattern synthesis of linear antenna array using hybrid particle swarm-taguchi optimization[C]//Proceeding of the 10th International Conference on Electrical and Electronics Engineering, 2017 [Google Scholar]
  5. WEI Fa, YANG Minglei, HE Xiaojing, et al. Simultaneous multi-beam forming method for planar array based on improved particle swarm algorithm[J]. Systems Engineering and Electronics, 2022, 44(6): 1789–1797. [Article] (in Chinese) [Google Scholar]
  6. MING Zhenxing, LYU Qinghua, MING Yue, et al. Optimization of LED light source array based on improved particle swarm algorithm[J]. Journal of Applied Optics, 2022, 43(3): 524–531. [Article] (in Chinese) [Google Scholar]
  7. ZHOU Feihong. An improved particle swarm optimization algorithm[J]. Application of IC, 2021, 38(11): 74–75. [Article] (in Chinese) [Google Scholar]
  8. LI Zhen, WANG Fan, WANG Ran. An improved particle swarm optimization algorithm[J]. Computer Measurement & Control, 2021, 29(10): 217–222. [Article] (in Chinese) [Google Scholar]
  9. ZOLOTAREV V M. One-dimensional stable distributions[M]. Providence: American Mathematical Society, 1986 [Google Scholar]
  10. TENG Zhijun, LYU Jinzhen, GUO Liwen, et al. Research on particle swarm optimization based on dynamic acceleration coefficients[J]. Microelectronics & Computer, 2017, 34(12): 125–129. [Article] (in Chinese) [Google Scholar]
  11. XU Zaotian, JI Weidong, SUN Xiaoqing, et al. A PSO algorithm with inertia weight decay by normal distribution[J]. Journal of Shenzhen University, 2020, 37(2): 208–213. [Article] (in Chinese) [Google Scholar]
  12. YAN C M, LU G Y, LIU Y T, et al. A modified PSO-algorithm with exponential decay weight[C]//13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2017 [Google Scholar]
  13. CHEN Bowen, ZOU Hai. Self-conclusion and self-adaptive variation particle swarm optimization[J]. Computer Engineering and Applications, 2022, 58(8): 67–75. [Article] (in Chinese) [Google Scholar]
  14. VAVALLE A, QIN N. Iterative response surface based optimization scheme for transonic airfoil design[J]. Journal of Aircraft, 2012, 44(2): 365–376 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.