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Application of hybrid SPSO-SQP algorithm for simultaneous estimation of space-dependent absorption coefficient and scattering coefficient fields in participating media

  • Lin Yang Wei
  • , Hong Qi*
  • , Ya Tao Ren
  • , Jian Ping Sun
  • , Shuang Wen
  • , Li Ming Ruan
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A hybrid stochastic particle swarm optimization (SPSO) and sequential quadratic programming (SQP) algorithm is proposed to estimate the space-dependent absorption coefficient (κa) and scattering coefficient (κs) fields simultaneously. The retrieval results of SQP algorithm are highly affected by the initial guess, and thus, SPSO is adopted to obtain the initial value of SQP because of its global search capability and lesser dependence on initial guess. The regularization term based on the generalized Gaussian Markov random field model is employed to overcome the ill-posed characteristic of the inverse problem. The inverse coupled radiation-conduction problem is solved in a one-dimensional participating medium with uniform refractive and graded refractive indices exposed to a pulse laser, respectively. All the results show that the separate space-dependent κa and κs fields can be estimated simultaneously and accurately from the coupled optical and thermal signals.

Original languageEnglish
Pages (from-to)424-432
Number of pages9
JournalInternational Journal of Thermal Sciences
Volume124
DOIs
StatePublished - Feb 2018
Externally publishedYes

Keywords

  • Absorption coefficient
  • Coupled radiation-conduction problem
  • Scattering coefficient
  • Sequential quadratic programming
  • Stochastic particle swarm optimization

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