Acta Optica Sinica, Volume. 42, Issue 9, 0930004(2022)

LED Spectral Matching Based on Adaptive Differential Evolution Algorithm

Zhen Cheng1,2, Ganshang Si2, Zhengang Li2, Zhiqiang Ning2, Jiaxiang Liu2, Wenbiao Huang1,2, Beibei Si2, Changping Yang1,2, and Yonghua Fang1,2、*
Author Affiliations
  • 1School of Environment Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, Anhui, China
  • 2Key Laboratory of Environment Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, Anhui, China
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    An adaptive differential evolution algorithm is proposed as a spectral matching algorithm to synthesize various target spectra with monochromatic light-emitting diodes (LEDs). The gaussian correction model is used to characterize the distribution of monochromatic LEDs. The standard AM1.5 solar spectrum and vegetation spectrum are simulated based on equally distributed LEDs,and the correlation coefficient and root-mean-square error are used as evaluation criteria. On this basis, the LEDs in the laboratory are used for experimental verification, and the fitting effect of the proposed algorithm is better than the simulated annealing algorithm and the genetic algorithm. The experimental results show that the proposed adaptive differential evolution algorithm, with automatic setting of parameters and good fitting effect, can be widely used in the LED spectral matching simulation tests and engineering practices.

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    Zhen Cheng, Ganshang Si, Zhengang Li, Zhiqiang Ning, Jiaxiang Liu, Wenbiao Huang, Beibei Si, Changping Yang, Yonghua Fang. LED Spectral Matching Based on Adaptive Differential Evolution Algorithm[J]. Acta Optica Sinica, 2022, 42(9): 0930004

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    Paper Information

    Category: Spectroscopy

    Received: Oct. 18, 2021

    Accepted: Dec. 6, 2021

    Published Online: May. 20, 2022

    The Author Email: Fang Yonghua (yhfang@aiofm.ac.cn)

    DOI:10.3788/AOS202242.0930004

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