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Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm

This study explores the first application of a Genetic Algorithm hybrid with Particle Swarm Optimization (GAHPSO) for design optimization of a plate-fin heat exchanger. A total number of seven design parameters are considered as the optimization variables and the constraints are handled by penalty f...

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Main Authors: Yousefi, Moslem, Enayatifar, Rasul, Darus, Amer Nordin
Format: Article
Published: Elsevier Ltd. 2012
Subjects:
QC Physics
Online Access:http://eprints.utm.my/id/eprint/47312/
http://dx.doi.org/10.1016/j.icheatmasstransfer.2011.11.011
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spelling my.utm.473122019-01-28T03:54:32Z http://eprints.utm.my/id/eprint/47312/ Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin QC Physics This study explores the first application of a Genetic Algorithm hybrid with Particle Swarm Optimization (GAHPSO) for design optimization of a plate-fin heat exchanger. A total number of seven design parameters are considered as the optimization variables and the constraints are handled by penalty function method. The effectiveness and accuracy of the proposed algorithm is demonstrated through an illustrative example. Comparing the results with the corresponding results using GA and PSO reveals that the GAHPSO can converge to optimum solution with higher accuracy. Elsevier Ltd. 2012-02 Article PeerReviewed Yousefi, Moslem and Enayatifar, Rasul and Darus, Amer Nordin (2012) Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm. International Communications In Heat And Mass Transfer, 39 (2). pp. 258-263. ISSN 0735-1933 http://dx.doi.org/10.1016/j.icheatmasstransfer.2011.11.011 DOI:10.1016/j.icheatmasstransfer.2011.11.011
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QC Physics
spellingShingle QC Physics
Yousefi, Moslem
Enayatifar, Rasul
Darus, Amer Nordin
Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
description This study explores the first application of a Genetic Algorithm hybrid with Particle Swarm Optimization (GAHPSO) for design optimization of a plate-fin heat exchanger. A total number of seven design parameters are considered as the optimization variables and the constraints are handled by penalty function method. The effectiveness and accuracy of the proposed algorithm is demonstrated through an illustrative example. Comparing the results with the corresponding results using GA and PSO reveals that the GAHPSO can converge to optimum solution with higher accuracy.
format Article
author Yousefi, Moslem
Enayatifar, Rasul
Darus, Amer Nordin
author_facet Yousefi, Moslem
Enayatifar, Rasul
Darus, Amer Nordin
author_sort Yousefi, Moslem
title Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
title_short Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
title_full Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
title_fullStr Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
title_full_unstemmed Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
title_sort optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm
publisher Elsevier Ltd.
publishDate 2012
url http://eprints.utm.my/id/eprint/47312/
http://dx.doi.org/10.1016/j.icheatmasstransfer.2011.11.011
_version_ 1643652285614522368
score 13.18916

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