Microgenetic optimization algorithm for optimal wavefront shaping

被引：30

作者：

Anderson, Benjamin R. ^{[1
]}

Price, Patrick ^{[1
]}

Gunawidjaja, Ray ^{[1
]}

Eilers, Hergen ^{[1
]}

机构：

[1] Washington State Univ, Inst Shock Phys, Appl Sci Lab, Spokane, WA 99210 USA

来源：

APPLIED OPTICS | 2015年 / 54卷 / 06期

关键词：

GENETIC ALGORITHM; SCATTERING MEDIA; SPECTRAL CONTROL; LIGHT; TIME;

D O I：

10.1364/AO.54.001485

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

One of the main limitations of utilizing optimal wavefront shaping in imaging and authentication applications is the slow speed of the optimization algorithms currently being used. To address this problem we develop a microgenetic optimization algorithm (mu GA) for optimal wavefront shaping. We test the abilities of the mu GA and make comparisons to previous algorithms (iterative and simple-genetic) by using each algorithm to optimize transmission through an opaque medium. From our experiments we find that the mu GA is faster than both the iterative and simple-genetic algorithms and that both genetic algorithms are more resistant to noise and sample decoherence than the iterative algorithm. (C) 2015 Optical Society of America

引用

页码：1485 / 1491

页数：7

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