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

页码：894 / 896

页数：3

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