Paper Title:
Genetic Algorithm and its Application in Optimization of Frequency Selective Surface
  Abstract

In this paper, a new genetic algorithm method to optimize the frequency selective surface(FSS) is presented. The optimization speed and definition are promoted by limiting the parameter range and changing the genetic basis. A new cost function is introduced to optimize the multi-frequency of FSS by multi-object optimization (MO). The cirque element was optimized by the optimization method, fabricated by the selective electroless plating on fabric and measured by the arch test system. Test result proves the simulated result coincide with measured result. Result shows that it’s possible to realize different optimizations based on the various applying by this method.

  Info
Periodical
Advanced Materials Research (Volumes 143-144)
Edited by
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
Pages
1046-1050
DOI
10.4028/www.scientific.net/AMR.143-144.1046
Citation
J. Y. Han, W. Qun, C. Y. Li, Z. H. Tang, M. W. Shi, "Genetic Algorithm and its Application in Optimization of Frequency Selective Surface", Advanced Materials Research, Vols. 143-144, pp. 1046-1050, 2011
Online since
October 2010
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$32.00
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