Genetic Algorithm and its Application in Optimization of Frequency Selective Surface
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.
H. Wang, B.J. Zhang, X.Z. Liu, D.Z. Luo, S.B. Zhong
J. Y. Han et al., "Genetic Algorithm and its Application in Optimization of Frequency Selective Surface", Advanced Materials Research, Vols. 143-144, pp. 1046-1050, 2011