Optimal FSS design by genetic algorithm

被引：0
|
作者：
Lee, Jihong [1 ]
Shim, Hyungwon [1 ]
Lee, Fillyoub [1 ]
Kim, Geun-Hong [1 ]
Seo, Il-Sung [1 ]
机构：
[1] Chungnam Natl Univ, Dept Mechatron Engn, 220 Kung Dong, Taejon 305674, South Korea
来源：
PROCEEDINGS OF THE THIRD IASTED INTERNATIONAL CONFERENCE ON ANTENNAS, RADAR, AND WAVE PROPAGATION | 2006年
关键词：
FSS; Electromagnetic Scattering Analysis; DB; GA;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an optimization procedure based on the data base (DB) and genetic algorithm (GA) is applied to the design of frequency selective surfaces (FSSs). FSS design system proposed in this study derives optimal design parameters through electromagnetic scattering theory on FSS, database implemented from real data obtained from practically manufactured FSS, and GA for optimizing design parameters. This system searches the best matching FSS in pre-constructed DB with given characteristics specified by operators, and then sets initial genes of GA with the searched FSS parameters, which drastically reduces running time of GA. From the appropriately selected initial conditions, GA finds the FSS design parameters that matches the characteristics specified by operators. The optimized results for design of FSS is verified by comparing the calculation results with measurement data.
引用
收藏
页码：115 / +
页数：2
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