• Acta Photonica Sinica
  • Vol. 50, Issue 5, 213 (2021)
Jun DAI and Jianqi SHEN
Author Affiliations
  • Optical Particle Analysis Laboratory, College of Science, University of Shanghai for Science and Technology, Shanghai200093, China
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    DOI: 10.3788/gzxb20215005.0512002 Cite this Article
    Jun DAI, Jianqi SHEN. Application of Genetic Algorithm in Particle Size Measurement Technology Based on Forward Light Scattering[J]. Acta Photonica Sinica, 2021, 50(5): 213 Copy Citation Text show less
    Schematic of particle size measurement based on forward light scattering
    Fig. 1. Schematic of particle size measurement based on forward light scattering
    The variation trend of the best fitness value with genetic iteration
    Fig. 2. The variation trend of the best fitness value with genetic iteration
    The variation trend of the best fitness value with population scale
    Fig. 3. The variation trend of the best fitness value with population scale
    The variation trend of the best fitness with crossover operator
    Fig. 4. The variation trend of the best fitness with crossover operator
    The variation trend of the best fitness value with mutation operator
    Fig. 5. The variation trend of the best fitness value with mutation operator
    The change trend of curve error H with weight coefficient α
    Fig. 6. The change trend of curve error H with weight coefficient α
    Results of different particle groups inversed by genetic algorithm
    Fig. 7. Results of different particle groups inversed by genetic algorithm
    The curve error H of different particle groups
    Fig. 8. The curve error H of different particle groups
    Optimized genetic algorithm inversion results of different particle groups under different noise
    Fig. 9. Optimized genetic algorithm inversion results of different particle groups under different noise
    Particle size distribution inversed by optimized genetic algorithm of unimodal particle group
    Fig. 10. Particle size distribution inversed by optimized genetic algorithm of unimodal particle group
    Particle size distribution inversed by optimized genetic algorithm of bimodal particle system
    Fig. 11. Particle size distribution inversed by optimized genetic algorithm of bimodal particle system
    Distribution typeDistribution parameter(D¯/μm, lnσRatio
    Unimodal distribution(15.0, 0.16)1.0
    Bimodal distribution(15.0, 0.20);(40.0, 0.20)1.0∶1.0
    Trimodal distribution(12.0, 0.25);(30.0, 0.25);(80.0, 0.25)1.0∶1.0∶1.0
    Four peaks distribution(5.0, 0.22);(15.0, 0.18);(45.0, 0.18);(90.0, 0.18)1.0∶1.0∶1.0∶1.0
    Table 1. The setting of distribution parameters for different particle groups
    Jun DAI, Jianqi SHEN. Application of Genetic Algorithm in Particle Size Measurement Technology Based on Forward Light Scattering[J]. Acta Photonica Sinica, 2021, 50(5): 213
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