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基于文化基因算法的透过散射介质聚焦 被引量:1

Focusing Through Scattering Medium Based on Memetic Algorithm
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摘要 人类通过双眼和光学仪器观察世界,但散射会严重扰乱光的传播,使透过散射介质实现聚焦和成像变得异常困难。通过反馈优化的方式对输入光进行相位调制,可以修正散射造成的波前畸变,从而在输出光场特定目标上实现聚焦。因此,提出了一种基于文化基因算法实现透过散射介质聚焦的方法。该方法结合全局搜索和局部搜索,将透过散射介质实现的聚焦抽象化为文化的进化过程。仿真和实验结果表明,相比基于遗传算法和粒子群优化算法的聚焦方法,本方法在聚焦效果和时间消耗上均具有明显优势,在光场调控领域具有良好的应用潜力。 Humans observe the world through their eyes and optical instruments, but scattering seriously disrupts light propagation, making focusing and imaging extremely difficult through the scattering medium. By modulating the phase of the input light through feedback optimization, the wavefront distortion caused by scattering can be corrected, allowing light to focus on a specific target in the output light field. Therefore, we propose a memetic algorithm-based method for focusing through a scattering medium. The method combines global search and local search, abstracting focusing through scattering medium into the process of cultural evolution. The simulation and experimental results show that, when compared to focusing methods based on genetic algorithm and particle swarm optimization algorithm, the method has obvious advantages in focusing effect and time consumption, and has good application potential in the field of light field control.
作者 何泽文 庄秋实 曹惠宁 辛煜 He Zewen;Zhuang Qiushi;Cao Huining;Xin Yu(School of Electronic and Optical Engineering,Nanjing Univeraity of Science&Technology.Nanjing,Jiangau 210094.China)
出处 《激光与光电子学进展》 CSCD 北大核心 2021年第24期498-505,共8页 Laser & Optoelectronics Progress
基金 国家自然科学基金(61675098,61107011) 博士点基金(20123219110021)。
关键词 散射 聚焦 相位调制 波前整形 文化基因算法 scattering focusing phase modulation wavefront shaping memetic algorithm
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  • 1陈旌.通过遗传聚类算法实现基于内容的图像检索[J].计算机系统应用,2005,14(6):45-47. 被引量:2
  • 2李青,钟铭,李振福,刘兆健.用于集装箱配装问题的Memetic算法[J].辽宁工程技术大学学报(自然科学版),2006,25(3):450-452. 被引量:2
  • 3Chuen-Homg Lin,Rong-Tai Chen,Yung- Kuan Chan.A smart content-based image retrieval system based on color and texture feature [J].Image and Vision Computing,2009,27,658-665.
  • 4Rudinac Stevan;Zajic Goran;U?cumlic Marija;Rudinac Maja; Reljin Branimir.Comparison of CBIR systems with different number of feature vector components [J].SMAP07-2nd International Workshop on Semantic Media Adaptation and Personalization, 2007, 199-204.
  • 5段富,张明凡.免疫算法在图像检索的应用[J].微计算机信息,2007,23(04X):279-280. 被引量:6
  • 6Doemer K F,Gronalt M,Hartl R F,et al.Exact and heuristic algorithms for the vehicle routing problem with multiple interdependent time windows[J].Computers & Operations Research, 2008,35 (9) :3034-3048.
  • 7Gutierrez-Jarpa G, Desaulniers G, Laporte G, et al.A branch-andprice algorithm for the vehicle routing problem with deliveries, selective pickups and time windows[J].European Journal of Operational Research, 2010,206 (2) : 341-349.
  • 8Azi N, Gendreau M, Potvin J Y.An exact algorithm for a vehicle routing problem with time windows and multiple use of ve- hieles[J].European Journal of Operational Research, 2010, 202 (3) :756-763.
  • 9Gendreau M, Hertz A, Laporte G.A tabu search heuristic for the vehicle routing problem[J].Management Science, 1994,40(10) : 1276-1290.
  • 10Potvin J Y.State-of-the art review evolutionary algorithms for vehicle routing[J].Informs Journal on Computing,2009,21(4): 518-548.

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