A universal and improved mutation strategy for iterative wavefront shaping

Hui Liu; Xiangyu Zhu; Xiaoxue Zhang; Xudong Chen; Yongquan Liao; Zhili Lin

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A universal and improved mutation strategy for iterative wavefront shaping

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arxiv 2211.11161 v1 pith:T5RID25R submitted 2022-11-21 physics.optics eess.IV

Hui Liu , Xiangyu Zhu , Xiaoxue Zhang , Yongquan Liao , Xudong Chen , Zhili Lin This is my paper

classification physics.opticseess.IV

keywords optimizationiterativealgorithmsbeenimproveimprovedimprovementslight

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Recent advances in iterative wavefront shaping (WFS) techniques have made it possible to manipulate the light focusing and transport in scattering media. To improve the optimization performance, various optimization algorithms and improved strategies have been utilized. Here, a novel guided mutation (GM) strategy is proposed to improve optimization efficiency for iterative WFS. For both phase modulation and binary amplitude modulation, considerable improvements in optimization effect and rate have been obtained using multiple GM-enhanced algorithms. Due of its improvements and universality, GM is beneficial for applications ranging from controlling the transmission of light through disordered media to optical manipulation behind them.

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