Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization
The quantum-behaved particle swarm optimization (QPSO) with Tikhonov regularization is used to solve the inverse heat conduction problem of estimating the time dependent heat transfer coefficient of a flat plate. The prior information about the functional form of the unknown is unavailable. The esti...
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Format: | Article |
Language: | English |
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SAGE Publishing
2014-06-01
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Series: | Journal of Algorithms & Computational Technology |
Online Access: | https://doi.org/10.1260/1748-3018.8.2.233 |
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author | Na Tian Longchao Zhu Choi-Hong Lai |
author_facet | Na Tian Longchao Zhu Choi-Hong Lai |
author_sort | Na Tian |
collection | DOAJ |
description | The quantum-behaved particle swarm optimization (QPSO) with Tikhonov regularization is used to solve the inverse heat conduction problem of estimating the time dependent heat transfer coefficient of a flat plate. The prior information about the functional form of the unknown is unavailable. The estimation is based on transient temperature measurements taken by the sensors imbedded in the plate, which are used in the least square model, minimized by QPSO. The detail of choosing the best regularization parameter by L-curve method is presented. Numerical experiments are performed to test the proposed method. Effects of the location and number of sensors are also investigated. Comparison with conjugate gradient method is given as well. |
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institution | Directory Open Access Journal |
issn | 1748-3018 1748-3026 |
language | English |
last_indexed | 2024-12-22T05:23:02Z |
publishDate | 2014-06-01 |
publisher | SAGE Publishing |
record_format | Article |
series | Journal of Algorithms & Computational Technology |
spelling | doaj.art-c56e111b17d54137969344cf104831822022-12-21T18:37:40ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262014-06-01810.1260/1748-3018.8.2.233Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov RegularizationNa Tian0Longchao Zhu1Choi-Hong Lai2 Department of Educational Technology, Jiangnan University, Wuxi 214122, China Department of Information Technology, China Ship Science Research Center, Wuxi 214082, China School of Computing and Mathematical Science, University of Greenwich, London SE10 9LS, UKThe quantum-behaved particle swarm optimization (QPSO) with Tikhonov regularization is used to solve the inverse heat conduction problem of estimating the time dependent heat transfer coefficient of a flat plate. The prior information about the functional form of the unknown is unavailable. The estimation is based on transient temperature measurements taken by the sensors imbedded in the plate, which are used in the least square model, minimized by QPSO. The detail of choosing the best regularization parameter by L-curve method is presented. Numerical experiments are performed to test the proposed method. Effects of the location and number of sensors are also investigated. Comparison with conjugate gradient method is given as well.https://doi.org/10.1260/1748-3018.8.2.233 |
spellingShingle | Na Tian Longchao Zhu Choi-Hong Lai Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization Journal of Algorithms & Computational Technology |
title | Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization |
title_full | Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization |
title_fullStr | Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization |
title_full_unstemmed | Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization |
title_short | Estimation of Heat Transfer Coefficient in Inverse Heat Conduction Problem Using Quantum-Behaved Particle Swarm Optimization with Tikhonov Regularization |
title_sort | estimation of heat transfer coefficient in inverse heat conduction problem using quantum behaved particle swarm optimization with tikhonov regularization |
url | https://doi.org/10.1260/1748-3018.8.2.233 |
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