Application of Parallel Genetic Algorithm with Two-step Fitness Function forthe design of Multi-band Single-Layer Frequency Selective Surface

Author

Zhou, Rui ; Zhuang, Wei ; Ding, D. Z. ; Chen, Ru Shan

Author_Institution

Department of Communication Engineering, Nanjing University of Science and Technology, Nanjing, China, 210094.

fYear

2007

fDate

16-17 Aug. 2007

Firstpage

765

Lastpage

768

Abstract

The parallel genetic algorithm (PGA) with two-step fitness function is proposed to design the multi-band single-layer frequency selective surface (FSS). The inner-outer flexible generalized minimal residual algorithm combined with fast Fourier transform (FGMRES-FFT) method is used to accelerate the convergence of the system equation of method of moment. An example of the tri-band single-layer FSS structure is given to demonstrate the validity of the present method.

Keywords

Fourier transforms; frequency selective surfaces; genetic algorithms; method of moments; inner-outer flexible generalized minimal residual algorithm fast Fourier transform; method of moment; multiband single-layer frequency selective surface; parallel genetic algorithm; tri-band single-layer FSS structure; two-step fitness function; Algorithm design and analysis; Antennas and propagation; Equations; Frequency selective surfaces; Genetic algorithms; Microwave antennas; Microwave propagation; Microwave technology; Moment methods; Shape; FGMRES-FFT; Frequency Selective Surface; fitness function; parallel Genetic Algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-1045-3

Electronic_ISBN

978-1-4244-1045-3

Type

conf

DOI

10.1109/MAPE.2007.4393736

Filename

4393736