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

被引：145
|
作者：
Shokooh-Saremi, Mehrdad [1 ]
Magnusson, Robert [1 ]
机构：
[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA
来源：
OPTICS LETTERS | 2007年 / 32卷 / 08期
关键词：
D O I：
10.1364/OL.32.000894
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
引用
收藏
页码：894 / 896
页数：3
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