Synthesis of New Reconfigurable Limited Size FSS Structures Using an Improved Hybrid Particle Swarm Optimization

Abstract This paper describes a new design methodology for reconfigurable printed circuits with limited size, using an improved hybrid particle swarm optimization (HPSO) algorithm, reducing the search space by the definition of negative zones (NZ), regions where the swarm of particles should not travel. The proposed design methodology (HPSO-NZ) is used in the development of reconfigurable frequency selective surfaces (RFSSs), restricted to a limited overall size, resulting in entirely new frequency selective surface (FSS) geometries. Two FSS prototypes are designed, fabricated, and measured for comparison purpose. A good agreement is observed between simulation and measurements results, confirming the efficiency and accuracy of the HPSO-NZ algorithm. Also, the performance of the HPSO-NZ algorithm is compared to the ones of genetic algorithm (GA) and particle swarm optimization (PSO) algorithm, showing good consistency results.摘要 本文提出一种针对有限尺寸可重构印刷电路的新型设计方法，采用改进型混合粒子群优化算法（improved hybrid particle swarm optimization, HPSO），通过定义负区域（negative zones, NZ）——即粒子群不应遍历的区域——来压缩搜索空间。所提出的HPSO-NZ设计方法被应用于总尺寸受限的可重构频率选择表面（reconfigurable frequency selective surfaces, RFSSs）的研发，最终得到了全新的频率选择表面（frequency selective surface, FSS）几何构型。 本文设计、制作并实测了两款FSS原型以开展对比验证。仿真结果与实测结果吻合良好，证实了HPSO-NZ算法的高效性与准确性。此外，本文还将HPSO-NZ算法的性能与遗传算法（genetic algorithm, GA）及粒子群优化算法（particle swarm optimization, PSO）进行了对比，结果显示其具备良好的一致性表现。