Title :
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.
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;
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
DOI :
10.1109/MAPE.2007.4393736
