@inproceedings{b84512d61a9b4072a6cb6f6534b7f5d0,
title = "Design of low side-lobe level conformai antenna array by PSO-GA",
abstract = "In this paper, the particle swarm optimization (PSO) method and genetic algorithm (GA) are combined and applied to optimize the antenna radiation pattern of conformal array. We improve the traditional PSO method by using inertia weight factor and prevent PSO method from getting stuck at a local optimum. And circular and cylindrical conformal antenna arrays are investigated, respectively. Compared with the traditional PSO algorithm, the novel GA-PSO method can speed up the convergence.",
author = "Yu, \{Xiao Meng\} and Yan Zhang and Tao Dong and Wang, \{Li Wei\} and Jun Li and L{\"u}, \{Shan Wei\}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 16th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016 ; Conference date: 16-10-2016 Through 19-10-2016",
year = "2016",
month = dec,
day = "16",
doi = "10.1109/ICUWB.2016.7790529",
language = "英语",
series = "2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2016",
address = "美国",
}