RT Journal Article
ID 66846d7938470665
A1 Yang, Kun 
A1 Qi, Hong
A1 Zhang, Jun-You 
A1 Niu, Chun-Yang 
A1 Wang, Wei 
A1 Ruan, Liming
T1 APPLICATION OF THE BIOGEOGRAPHY-BASED OPTIMIZATION ALGORITHMS TO INVERSE TRANSIENT RADIATION PROBLEM
JF Heat Transfer Research
JO HTR
YR 2017
FD 2017-10-18
VO 48
IS 12
SP 1103
OP 1126
K1 inverse transient radiation problem
K1 biogeography-based optimization
K1 local search strategy
K1 simplex method
K1 K-means clustering method
AB 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.

PB Begell House
LK https://www.dl.begellhouse.com/journals/46784ef93dddff27,5284b92411fbd139,66846d7938470665.html