• Acta Optica Sinica
  • Vol. 42, Issue 9, 0930004 (2022)
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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    DOI: 10.3788/AOS202242.0930004 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Improved variation factor F varying with number of iterations
    Fig. 1. Improved variation factor F varying with number of iterations
    Improved crossover probability factor MCR varying with number of iterations
    Fig. 2. Improved crossover probability factor MCR varying with number of iterations
    Flow chart of SADE spectrum matching algorithm
    Fig. 3. Flow chart of SADE spectrum matching algorithm
    AM1.5 spectrum fitted by equally distributed LEDs. (a) 15 nm; (b) 20 nm; (c) 30 nm
    Fig. 4. AM1.5 spectrum fitted by equally distributed LEDs. (a) 15 nm; (b) 20 nm; (c) 30 nm
    Vegetation spectrum fitted by equally distributed LEDs. (a) 15 nm; (b) 20 nm; (c) 30 nm
    Fig. 5. Vegetation spectrum fitted by equally distributed LEDs. (a) 15 nm; (b) 20 nm; (c) 30 nm
    AM1.5 spectrum and vegetation spectrum fitted by SADE algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    Fig. 6. AM1.5 spectrum and vegetation spectrum fitted by SADE algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    AM1.5 spectrum and vegetation spectrum fitted by SA algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    Fig. 7. AM1.5 spectrum and vegetation spectrum fitted by SA algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    AM1.5 spectrum and vegetation spectrum fitted by GA algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    Fig. 8. AM1.5 spectrum and vegetation spectrum fitted by GA algorithm. (a) AM1.5 spectrum; (b) vegetation spectrum
    Target spectrumBand range /nmLED typeR2RMSE
    Peak wavelength with 15 nm interval0.99340.1045
    AM1.5 spectrum380--800Peak wavelength with 20 nm interval0.99130.1197
    Peak wavelength with 30 nm interval0.98240.1703
    Peak wavelength with 15 nm interval0.99780.0131
    Vegetation spectrum400--780Peak wavelength with 20 nm interval0.99690.0154
    Peak wavelength with 30 nm interval0.98490.0342
    Table 1. Results of spectral curves fitted by SADE algorithm
    Peak wavelength /nmFWHM /nmPeak wavelength /nmFWHM /nm
    3801056040
    3951559020
    4001760015
    4101761015
    4201663015
    4301964517
    4502066017
    4602268020
    4802670022
    5002573022
    5203076024
    5303078025
    54540
    Table 2. Peak wavelengths and FWHMs of 25 kinds of LEDs in laboratory
    MethodR2RMSE
    AM1.5 spectrumVegetation spectrumAM1.5 spectrumVegetation spectrum
    SA0.94040.90360.31320.0864
    GA0.95470.91370.27310.0817
    SADE0.97150.95280.21660.0604
    Table 3. Comparison of results of different algorithms
    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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