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Application of multi-phase particle swarm optimization technique to retrieve the particle size distribution

  • Hong Qi*
  • , Liming Ruan
  • , Shenggang Wang
  • , Meng Shi
  • , Hui Zhao
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

The multi-phase particle swarm optimization (MPPSO) technique is applied to retrieve the particle size distribution (PSD) under dependent model. Based on the Mie theory and the Lambert-Beer theory, three PSDs, i.e., the Rosin-Rammer (R-R) distribution, the normal distribution, and the logarithmic normal distribution, are estimated by MPPSO algorithm. The results confirm the potential of the proposed approach and show its effectiveness. It may provide a new technique to improve the accuracy and reliability of the PSD inverse calculation.

Original languageEnglish
Pages (from-to)346-349
Number of pages4
JournalChinese Optics Letters
Volume6
Issue number5
DOIs
StatePublished - May 2008
Externally publishedYes

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