Synthesis of frequency selective surfaces using genetic algorithm combined with the equivalent circuit method
- 16 May 2012
- journal article
- research article
- Published by Wiley in Microwave and Optical Technology Letters
- Vol. 54 (8) , 1893-1897
Abstract
Genetic algorithms (GAs) are optimization algorithms that use stochastic techniques inspired in the natural evolution theory. They consist of search algorithms that aim to find a set of parameters that minimizes or maximizes a certain cost function. In this article, the problem is to find a set of physical dimensions for a frequency selective surface (FSS) that force it to have some desired properties. The idea is to use the fact that the analysis of the FSS is much simpler than the synthesis. In this article, this is done for two kinds of FSSs, the square loop and the quasi‐square open loop. Representative numerical examples are presented to demonstrate the effectiveness of the method. Finally, the performance of the GA is presented. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1893–1897, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26953Keywords
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