Optimization of frequency selective surface by the genetic algorithm - Details

Author：

Han, Jingyu (Han, Jingyu.) | Wang, Qun (Wang, Qun.) (Scholars：王群) | Tang, Zhanghong (Tang, Zhanghong.) | Shi, Meiwu (Shi, Meiwu.) | Li, Maohui (Li, Maohui.)

Indexed by：

EI Scopus

Abstract：

In　this　paper,　a　new　cost　function　is　proposed　to　optimize　the　electromagnetic　parameters　of　the　frequency　selective　surface　(FSS)　with　multi-object　optimization　(MO).　All　the　objects　including　resonance　frequency,　the　bandwidth　and　the　transmission　magnitude　are　considered　with　different　weights　in　the　cost　function.　The　numerical　result　shows　that　both　the　transmission　coefficient　of　different　frequency　and　the　resonance　frequency　satisfy　the　requirement　very　well.　©　2010　IEEE.

Keyword：

Genetic algorithms Electromagnetic fields Cost functions Frequency selective surfaces Natural frequencies

Author Community：

[ 1 ] [Han, Jingyu]College of Material Science and Engineering, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Wang, Qun]College of Material Science and Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Tang, Zhanghong]College of Material Science and Engineering, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Shi, Meiwu]Quartermaster Equipment Research Institute of the General Logistics, Department of the PLA, Beijing 100082, China
[ 5 ] [Li, Maohui]Quartermaster Equipment Research Institute of the General Logistics, Department of the PLA, Beijing 100082, China