A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer

A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer

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 con...

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Main Authors: Zhang Biao, Qi Hong, Sun Shuang-Cheng, Ruan Li-Ming, Tan He-Ping
Format: Article
Language:English
Published: VINCA Institute of Nuclear Sciences 2016-01-01
Series:Thermal Science
Subjects:
inverse problem
ant colony optimization
particle swarm optimization
coupled heat transfer
Online Access:http://www.doiserbia.nb.rs/img/doi/0354-9836/2016/0354-98361400023Z.pdf
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spelling doaj-571be3b9db2a4b5fafe4c1432b94f7072021-01-02T05:03:32ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632016-01-0120246147210.2298/TSCI131124023Z0354-98361400023ZA novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transferZhang Biao0Qi Hong1Sun Shuang-Cheng2Ruan Li-Ming3Tan He-Ping4School of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaSchool of Energy Science and Engineering, Harbin Institute of Technology, Harbin, ChinaIn 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.http://www.doiserbia.nb.rs/img/doi/0354-9836/2016/0354-98361400023Z.pdfinverse problemant colony optimizationparticle swarm optimizationcoupled heat transfer
collection DOAJ
language English
format Article
sources DOAJ
author Zhang Biao
Qi Hong
Sun Shuang-Cheng
Ruan Li-Ming
Tan He-Ping
spellingShingle Zhang Biao
Qi Hong
Sun Shuang-Cheng
Ruan Li-Ming
Tan He-Ping
A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
Thermal Science
inverse problem
ant colony optimization
particle swarm optimization
coupled heat transfer
author_facet Zhang Biao
Qi Hong
Sun Shuang-Cheng
Ruan Li-Ming
Tan He-Ping
author_sort Zhang Biao
title A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
title_short A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
title_full A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
title_fullStr A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
title_full_unstemmed A novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
title_sort novel hybrid ant colony optimization and particle swarm optimization algorithm for inverse problems of coupled radiative and conductive heat transfer
publisher VINCA Institute of Nuclear Sciences
series Thermal Science
issn 0354-9836
2334-7163
publishDate 2016-01-01
description 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.
topic inverse problem
ant colony optimization
particle swarm optimization
coupled heat transfer
url http://www.doiserbia.nb.rs/img/doi/0354-9836/2016/0354-98361400023Z.pdf
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