Phase Optimization of Wavefront Shaping Using Genetically Assisted Harmony Search Algorithm

Jiacheng Xu; Xuyu Zhang; Dawei Zhang; Shensheng Han; Honglin Liu

doi:10.3788/LOP241852

Laser & Optoelectronics Progress, Volume. 61, Issue 21, 2126001(2024)

Phase Optimization of Wavefront Shaping Using Genetically Assisted Harmony Search Algorithm

Jiacheng Xu^1,2、*, Xuyu Zhang^1,2, Dawei Zhang¹, Shensheng Han^2,3,4, and Honglin Liu^2,3

¹School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology, Shanghai 200093, China

²Aerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China

³University of Chinese Academy of Sciences, Beijing 100049, China

⁴Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang , China

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Figures & Tables(9)

Fig. 1. Flowchart of genetically assisted harmony search algorithm

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Fig. 2. Experimental setup of modulation system

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Fig. 3. Results of single point focusing. Target area images when N=256, (a) unmodulated condition, (b) focus image after modulation, and (c) phase distribution of incident surface after modulation; target area image when N=1024, (d) unmodulated condition, (e) focus image after modulation, and (f) phase distribution of incident surface after modulation

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Fig. 4. Experimental results of multi-point focusing. Target area images when N=256, (a) unmodulated and (b) focus image after modulation; target area images when N=1024, (c) unmodulated condition and (d) focus image after modulation

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Fig. 5. Simulation results of proposed algorithm at different noise levels. (a) Noise-free situation; (b) 15 dB noise background; (c) 25 dB noise background; (d) 35 dB noise background

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Fig. 6. PBR enhancement diagram of each algorithm at different noise levels

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Table 1. Parameters of GAHS algorithm used in experiments and simulations
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Table 1. Parameters of GAHS algorithm used in experiments and simulations
M R_{HMCR max} R_{PAR max} W_{BW max} N_P
30 0.95 0.9 1 24
M R_{HMCR min} R_{PAR min} W_{BW min} N_S
30 0.9 0.009 0.1 12

Table 2. Parameters of HS, GA, and CSA algorithm used in simulations
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Table 2. Parameters of HS, GA, and CSA algorithm used in simulations
HS GA CSA
M=30
R_{HMCR max}=0.99
R_{HMCR min}=0.95
R_{PAR max}=0.9
R_{PAR min}=0.009
W_{BW max}=1
W_{BW min}=0.1
N_P=32
N_S=16
R_max=0.02
R_min=0.0025
D_dephase=π/4

Table 3. Final simulated PBR value of each algorithm at different noise levels
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Table 3. Final simulated PBR value of each algorithm at different noise levels
Algorithm 15 dB 25 dB 35 dB Noise-free
GAHS 364.14 416.16 439.67 441.54
GA 299.31 321.93 348.03 373.98
HS 258.32 318.44 344.97 362.28
CSA 225.12 292.66 306.16 337.68

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Jiacheng Xu, Xuyu Zhang, Dawei Zhang, Shensheng Han, Honglin Liu. Phase Optimization of Wavefront Shaping Using Genetically Assisted Harmony Search Algorithm[J]. Laser & Optoelectronics Progress, 2024, 61(21): 2126001

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