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.

• Periodical: Advanced Materials Research (Volumes 143-144)
• Pages: 1046-1050
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.143-144.1046
• Online since: October 2010
• Authors: Jing Yu Han, Wang Qun, Chuan You Li, Zhang Hong Tang, Mei Wu Shi
• Keywords: Frequency Selective Surface, Genetic Algorithm (GA), Periodic Structure, Reflection

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