개선된 이진 입자 군집 최적화 알고리즘을 적용한 픽셀 형태 주파수 선택적 표면의 효율적인 설계방안 연구 = Effective Design of Pixel-type Frequency Selective Surfaces using an Improved Binary Particle Swarm Optimization Algorithm

다국어 초록 (Multilingual 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.

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