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Heat Transfer Research
Facteur d'impact: 0.404 Facteur d'impact sur 5 ans: 0.8 SJR: 0.264 SNIP: 0.504 CiteScore™: 0.88

ISSN Imprimer: 1064-2285
ISSN En ligne: 2162-6561

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Heat Transfer Research

DOI: 10.1615/HeatTransRes.2017017263
pages 1103-1126

APPLICATION OF THE BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMS TO INVERSE TRANSIENT RADIATION PROBLEM

Kun Yang
Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance, Civil Aviation University of China, Tianjin, 300300, China
Hong Qi
School of Energy Science and Engineering, Harbin Institute of Technology, 92, West Dazhi Street, Harbin 150001, PR China; Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin, China, 150001
Jun-You Zhang
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China
Chun-Yang Niu
School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China
Wei Wang
Tianjin Key Laboratory of Civil Aircraft Airworthiness and Maintenance, Civil Aviation University of China, Tianjin, 300300, China
Liming Ruan
School of Energy Science and Engineering, Harbin Institute of Technology 92 West Dazhi Street, Harbin, Heilongjiang, 150001, P.R. China; Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin, China, 150001

RÉSUMÉ

Three biogeography-based optimization (BBO) algorithms, i.e., the basic BBO, the improved biogeography-based optimization algorithm based on local search strategy (ILSBBO), and the hybrid ILSBBO combined with the Simplex Method based on the K-means clustering method (KSM-ILSBBO), were developed to solve the inverse transient radiation problem in nonhomogeneous multilayer participating media. The transmittance and reflectance on the boundaries simulated by the finite volume method were served as input for the inverse analysis. The absorption coefficients, scattering coefficients, and geometric position of the middle layer in a three-layer nonhomogeneous slab were estimated by these three BBO-based algorithms, respectively. The influence of measurement errors on the retrieval results was also investigated. The results demonstrate that the BBO, ILSBBO, and KSM-ILSBBO algorithms all could obtain reasonable results when one, two, or three unknown parameters are retrieved. The KSM-ILSBBO could get more accurate results even when four parameters are estimated simultaneously, and the retrieval accuracy of KSM-ILSBBO is higher than that of BBO and ILSBBO algorithms. The KSM-ILSBBO is proved to be suitable for solving inverse radiation problems.