粒子群算法优化异质结构光子晶体环形腔滤波特性

为了提高异质结构光子晶体环形腔滤波器的滤波特性,采用粒子群(PSO)算法对其结构参数进行全局优化.以正方晶格光子晶体环形滤波器结构为优化对象,根据粒子群算法的位置——速度更新公式,对光子晶体缺陷处散射柱、耦合介质柱和内部介质柱的半径进行全局优化.通过理论分析和数值模拟结果可以看出,滤波结构参数优化后,可实现单模窄带滤波.与此同时,归一化透射率由53%提高到97%,证明了该优化算法的有效性,从而为该滤波结构在光电器件中的应用奠定了基础.

Improvement of the filtering performance of a heterostructure photonic crystal ring resonator using PSO algorithm

To improve the filtering performance of a heterostructure photonic crystal ring resonator filter, the filtering structural parameters were optimized globally by using particle swarm optimization (PSO) algorithm. By taking the square lattice photonic crystal ring resonator filter structure as the optimized object, according to the position-velocity updating formula of the PSO method, the radius of scattering rods, coupling rods, and internal rods at the photonic crystal defect were optimized globally. From the theoretical analysis and numerical simulation results, it can be seen that after the filter structural parameters were optimized, single narrowband filtering can be achieved. At the same time, its normalized transmission rate is increased from 53% to 97%, indicating the effectiveness of the optimization algorithm, which provides a basis for the application in photoelectric device.