| FUNDAMENTAL AREAS OF PHENOMENOLOGY(INCLUDING APPLICATIONS) |
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Shaping the Wavefront of Incident Light with a Strong Robustness Particle Swarm Optimization Algorithm |
| Bi-Qi Li1, Bin Zhang1, Qi Feng1, Xiao-Ming Cheng1, Ying-Chun Ding1**, Qiang Liu2** |
1College of Science, Beijing University of Chemical Technology, Beijing 100029
2State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments, Tsinghua University, Beijing 100084
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| Cite this article: |
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Bi-Qi Li, Bin Zhang, Qi Feng et al 2018 Chin. Phys. Lett. 35 124201 |
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Abstract We demonstrate a modified particle swarm optimization (PSO) algorithm to effectively shape the incident light with strong robustness and short optimization time. The performance of the modified PSO algorithm and genetic algorithm (GA) is numerically simulated. Then, using a high speed digital micromirror device, we carry out light focusing experiments with the modified PSO algorithm and GA. The experimental results show that the modified PSO algorithm has greater robustness and faster convergence speed than GA. This modified PSO algorithm has great application prospects in optical focusing and imaging inside in vivo biological tissue, which possesses a complicated background.
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Received: 30 July 2018
Published: 23 November 2018
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| PACS: |
42.15.Eq
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(Optical system design)
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42.25.Bs
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(Wave propagation, transmission and absorption)
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42.25.Dd
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(Wave propagation in random media)
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42.25.Fx
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(Diffraction and scattering)
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| Fund: Supported by the National Key Research and Development Program of China under Grant No 2017YFB1104500, the Natural Science Foundation of Beijing under Grant No 7182091, the National Natural Science Foundation of China under Grant No 21627813, and the Fundamental Research Funds for the Central Universities under Grant No PYBZ1801. . |
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