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http://dx.doi.org/10.5515/KJKIEES.2019.30.4.261

Effective Design of Pixel-type Frequency Selective Surfaces using an Improved Binary Particle Swarm Optimization Algorithm  

Yang, Dae-Do (Department of Electrical and Electronic Engineering, Yonsei University)
Park, Chan-Sun (Department of Electrical and Electronic Engineering, Yonsei University)
Yook, Jong-Gwan (Department of Electrical and Electronic Engineering, Yonsei University)
Publication Information
The Journal of Korean Institute of Electromagnetic Engineering and Science / v.30, no.4, 2019 , pp. 261-269 More about this Journal
Abstract
This study investigates a method of designing pixel-type frequency selective surfaces(FSS) with flexibility while considering factors, such as polarization and incident angle. Among the various methods used to solve the discrete space problem when designing a pixel-type FSS, the binary particle swarm optimization(BPSO) algorithm is one of the most applicable techniques to determine the periodic structure pattern of an FSS. Therefore, a method of efficiently designing FSS with roll-off band pass characteristics using an improved BPSO algorithm is proposed. To solve the convergence problem in the fitness function design to induce particles in the desired solution, FSS with desired roll-off wave characteristics can be easily obtained by applying a fitness function using "slope" as an input parameter.
Keywords
Pixel-Type Frequency Selective Surfaces; Binary Particle Swarm Optimization; Fitness Function Modeling;
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