Variable step size adaptive cuckoo search optimization algorithm for phase diversity

doi:10.1364/ao.57.008212

CIOMP OpenIR

	Variable step size adaptive cuckoo search optimization algorithm for phase diversity
	Li, D. Q.; Xu, S. Y.; Qi, X.; Wang, D.; Cao, X. T.
	2018
发表期刊	Applied Optics
ISSN	1559-128X
卷号	57 期号:28 页码:8212-8219
摘要	The phase diversity (PD) algorithm will eventually be converted into a large-scale nonlinear numerical optimization problem, so the selection of numerical optimization algorithm will directly determine the accuracy and speed of the algorithm settlement. In this paper, we introduce the cuckoo search optimization algorithm, which has the advantages of simple model, few parameters, and easy implementation, to the phase diversity algorithm. By improving the step size control factor in the original cuckoo search algorithm, we can make it have faster optimization speed for PD. In the simulation experiments, we further proved and gave a simple explanation in theory that in the case of large-scale wavefront sensing, compared to the traditional particle swarm algorithm, this improved algorithm has higher accuracy and faster convergence speed. Finally, we set up a simple experimental system and proved the effectiveness of the improved cuckoo search algorithm for PD. (C) 2018 Optical Society of America
关键词	optics retrieval turbulence sensor Optics
DOI	10.1364/ao.57.008212
收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/61219
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	Li, D. Q.,Xu, S. Y.,Qi, X.,et al. Variable step size adaptive cuckoo search optimization algorithm for phase diversity[J]. Applied Optics,2018,57(28):8212-8219.
APA	Li, D. Q.,Xu, S. Y.,Qi, X.,Wang, D.,&Cao, X. T..(2018).Variable step size adaptive cuckoo search optimization algorithm for phase diversity.Applied Optics,57(28),8212-8219.
MLA	Li, D. Q.,et al."Variable step size adaptive cuckoo search optimization algorithm for phase diversity".Applied Optics 57.28(2018):8212-8219.

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