Particle swarm optimization and its application to the design of diffraction grating filters

Particle swarm optimization and its application to the design of diffraction grating filters
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DOI：
10.1364/ol.32.000894
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发表时间：
2007-04-15
期刊：
OPTICS LETTERS
影响因子：
3.6
通讯作者：
Magnusson, Robert
Magnusson, Robert
中科院分区：
物理与天体物理2区
文献类型：
--
作者：
Shokooh-Saremi, Mehrdad;Magnusson, Robert

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粒子群优化算法(PSO)是一种进化的、易于实现的光学衍射光栅设计技术。报道了用粒子群优化算法设计反射和透射型导模共振(GMR)光栅滤光片。在合理的计算时间内，所设计的滤光片频谱与设计指标吻合较好。用遗传算法设计了滤波器，并将遗传算法和粒子群算法的结果进行了比较。(C)2007年美国光学学会。
Particle swarm optimization (PSO) is an evolutionary, easy-to-implement technique to design optical diffraction gratings. Design of reflection and transmission guided-mode resonance (GMR) grating filters using PSO is reported. The spectra of the designed filters are in good agreement with the design targets in a reasonable computation time. Also, filters are designed with a genetic algorithm (GA) and the results obtained by the GA and PSO are compared. (c) 2007 Optical Society of America.