Open Access
Issue
JNWPU
Volume 40, Number 3, June 2022
Page(s) 493 - 503
DOI https://doi.org/10.1051/jnwpu/20224030493
Published online 19 September 2022
  1. Kennedy J, EBERHART R. Particle swarm optimization[C]//Proceedings of International Conference on Neural Networks, 1995: 1942-1948 [Google Scholar]
  2. YANG X S, DEB S. Cuckoo search via Lévy flights[C]//2009 World Congress on Nature & Biologically Inspired Computing, 2009: 210-214 [Google Scholar]
  3. STORN R, PRICE K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces[J]. Journal of Global Optimization, 1997, 11(4): 341–359 [CrossRef] [Google Scholar]
  4. CLERC M, KENNEDY J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space[J]. IEEE Trans on Evolutionary Computation, 2002, 6(1): 58–73 [Article] [CrossRef] [Google Scholar]
  5. MENDES R, KENNEDY J, NEVES J. The fully informed particle swarm: simpler, maybe better[J]. IEEE Trans on Evolutionary Computation, 2004, 8(3): 204–210 [Article] [CrossRef] [Google Scholar]
  6. LI Ding, XIA Lu. Application of a hybrid particle swarm optimization to airfoil design[J]. Aeronautical Computing Technique, 2010, 40(6): 66–71 [Article] (in Chinese) [Google Scholar]
  7. SHI Jiying, GONG Ying, XUE Fei, et al. Distribution network reconfiguration with PSO-CS algorithm considering electric vehicles[J]. Proceedings of the CSU-EPSA, 2018, 30(2): 66–70 (in Chinese) [Google Scholar]
  8. MIRJALILI S, MIRJALILI S M, LEWIS A. Grey wolf optimizer[J]. Advances in Engineering Software, 2014, 69: 46–61 [Article] [CrossRef] [Google Scholar]
  9. HU Jianxiu, ZENG Jianchao. Selection on intertia weicht of particle swarm optimization[J]. Computer Engineering, 2007(11): 193–195 [Article] (in Chinese) [Google Scholar]
  10. COOK P, MCDONALD M, FIRMIN M. Aerofoil RAE-2822: pressure distributions, and boundary layer and wake measurements[R]. AGARD AR-138-A6, 1979 [Google Scholar]
  11. KULFAN B M. Universal parametric geometry representation method[J]. Journal of aircraft, 2008, 45(1): 142–158[Article] [CrossRef] [Google Scholar]
  12. BU Yuepeng, SONG Wenping, HAN Zhonghua, et al. Aerodynamin optimization design of airfoil based on CST parameterization method[J]. Journal of Northwestern Polytechnical University, 2013, 31(5): 829–836 [Article] (in Chinese) [Google Scholar]
  13. SACKS J, WELCH W J, MITCHELL T J, et al. Design and analysis of computer experiments[J]. Statistical Science, 1989, 4(4): 409–423 [Google Scholar]
  14. WANG Chao, GAO Zhenghong, ZHANG Wei, et al. Effivient surrogate-based aerodynamic design optimization method with adaptive design space expansion[J]. Acta Aeronautica et Astronautica Sinica, 2018, 39(7): 45–63 [Article] (in Chinese) [Google Scholar]
  15. SCHMITT V, CHARPIN F. Pressure distributions on the ONERA-M6-Wing at transonic mach numbers[R]. AGARD AR-138-B1, 1979 [Google Scholar]
  16. SEDERBERG T W, PARRY S R. Free-form deformation of solid geometric models[C]//Proceedings of the 13th Annual Conference on Computer Graphics and Interactive Techniques, 1986: 151-160 [Google Scholar]

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