光学学报, 2019, 39 (7): 0705002, 网络出版: 2019-07-16
应用于亚波长角向偏振金属光栅设计的快速收敛粒子群算法优化 下载: 1244次
Fast Convergent Particle Swarm Optimization Algorithm for Subwavelength Azimuthally Polarized Metal Grating Design
图 & 表
图 1. 亚波长角向偏振金属光栅。(a) 光栅为同心环结构; (b) 光栅横截面示意图
Fig. 1. Subwavelength azimuthally polarized metal grating. (a) Grating with concentric ring structure; (b) cross section of grating
图 6. 三种不同形式的目标衍射效率曲线和设计结果。(a)多峰谱线; (b)窄带谱线; (c)宽波段谱线
Fig. 6. Object diffraction efficiency curves and designed results of three different types. (a) Multi-peak curves; (b) narrow-band curves; (c) broad-band curves
表 13种PSO的平均迭代次数
Table1. Average iteration times of three PSO algorithms
|
表 2不同目标谱线下三种方法的RCWA平均调用次数
Table2. Average calling times of RCWA of three algorithms under different object curves
|
朱春霖, 焦庆斌, 谭鑫, 王玮, 巴音贺希格. 应用于亚波长角向偏振金属光栅设计的快速收敛粒子群算法优化[J]. 光学学报, 2019, 39(7): 0705002. Chunlin Zhu, Qingbin Jiao, Xin Tan, Wei Wang, 巴音贺希格. Fast Convergent Particle Swarm Optimization Algorithm for Subwavelength Azimuthally Polarized Metal Grating Design[J]. Acta Optica Sinica, 2019, 39(7): 0705002.