TY - JOUR
TI - A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
AU - Zhang Biao
AU - Qi Hong
AU - Sun Shuang-Cheng
AU - Ruan Li-Ming
AU - Tan He-Ping
JN - Thermal Science
PY - 2016
VL - 20
IS - 2
SP - 461
EP - 472
PT - Article
AB - In this study, a continuous ant colony optimization algorithm on the basis of  probability density function was applied to the inverse problems of  one-dimensional coupled radiative and conductive heat transfer. To overcome  the slow convergence of the ant colony optimization algorithm for continuous  domain problems, a novel hybrid ant colony optimization and particle swarm  optimization algorithm was proposed. To illustrate the performances of these  algorithms, the thermal conductivity, absorption coefficient and scattering  coefficient of the one-dimensional homogeneous semi-transparent medium were  retrieved for several test cases. The temperature and radiative heat flux  simulated by the finite volume method were served as inputs for the inverse  analysis. Through function estimation and parameter estimation, the HAPO  algorithm was proved to be effective and robust.