Integration of genetic and bat algorithms towards a parameter-free optimization scheme in iterative wavefront shaping

Qi Zhao; Chi Man Woo; Huanhao Li; Tianting Zhong; Zhipeng Yu; Puxiang Lai

doi:10.1117/12.2601210

9 October 2021 Integration of genetic and bat algorithms towards a parameter-free optimization scheme in iterative wavefront shaping

Qi Zhao, Chi Man Woo, Huanhao Li, Tianting Zhong, Zhipeng Yu, Puxiang Lai

Author Affiliations +

Proceedings Volume 11898, Holography, Diffractive Optics, and Applications XI; 1189806 (2021) https://doi.org/10.1117/12.2601210
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Abstract

In this work, we proposed a parameter-free algorithm (PFA) for iterative wavefront shaping, in which the time-consuming parameter tuning process is not required. The simulation and experiment results show that PFA can achieve better performance than GA and BA, without a parameter tuning process. Furthermore, since the mutation rate in PFA is inherited from the dynamic mutation algorithm, which has demonstrated high adaptability against perturbations, the robustness of PFA is satisfactory. In the future, a field-programmable gate array (FPGA) based system can be implemented to accelerate iterative wavefront shaping and achieve real-time optical focusing in dynamic scattering media, such as biological tissue.

Conference Presentation

Citation Download Citation

Qi Zhao, Chi Man Woo, Huanhao Li, Tianting Zhong, Zhipeng Yu, and Puxiang Lai "Integration of genetic and bat algorithms towards a parameter-free optimization scheme in iterative wavefront shaping", Proc. SPIE 11898, Holography, Diffractive Optics, and Applications XI, 1189806 (9 October 2021); https://doi.org/10.1117/12.2601210

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