Title :
Optimization of frequency selective surface by the genetic algorithm
Author :
Han, Jingyu ; Wang, Qun ; Tang, Zhanghong ; Shi, Meiwu ; Li, Maohui
Author_Institution :
Coll. of Mater. Sci. & Eng., Beijing Univ. of Technol., Beijing, China
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.
Keywords :
frequency selective surfaces; genetic algorithms; cost function; electromagnetic parameters; frequency selective surface; genetic algorithm; multiobject optimization; resonance frequency; transmission coefficient; Bandwidth; Cost function; Educational institutions; Frequency selective surfaces; Gaussian distribution; Genetic algorithms; Materials science and technology; Periodic structures; Resonance; Resonant frequency;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481392
