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A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers

This paper presents a robust, efficient and parameter-setting-free evolutionary approach for the optimal design of compact heat exchangers. A learning automata based particle swarm optimization (LAPSO) is developed for optimization task. Seven design parameters, including discreet and continuous one...

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Main Authors: Yousefi, Moslem, Enayatifar, Rasul, Darus, Amer Nordin, Abdullah, Hanan
Format: Article
Published: 2012
Subjects:
QC Physics
Online Access:http://eprints.utm.my/id/eprint/46530/
http://dx.doi.org/10.1016/j.icheatmasstransfer.2012.10.002
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spelling my.utm.465302017-09-12T07:45:21Z http://eprints.utm.my/id/eprint/46530/ A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin Abdullah, Hanan QC Physics This paper presents a robust, efficient and parameter-setting-free evolutionary approach for the optimal design of compact heat exchangers. A learning automata based particle swarm optimization (LAPSO) is developed for optimization task. Seven design parameters, including discreet and continuous ones, are considered as optimization variables. To make the constraint handling straightforward, a self-adaptive penalty function method is employed. The efficiency and the accuracy of the proposed method are demonstrated through two illustrative examples that include three objectives, namely minimum total annual cost, minimum weight and minimum number of entropy generation units. Numerical results indicate that the presented approach generates the optimum configuration with higher accuracy and a higher success rate when compared with genetic algorithms (GAs) and particle swarm optimization (PSO). 2012 Article PeerReviewed Yousefi, Moslem and Enayatifar, Rasul and Darus, Amer Nordin and Abdullah, Hanan (2012) A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers. International Communications in Heat and Mass Transfer, 39 (10). pp. 1605-1615. ISSN 0735-1933 http://dx.doi.org/10.1016/j.icheatmasstransfer.2012.10.002
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
Abdullah, Hanan
A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
description This paper presents a robust, efficient and parameter-setting-free evolutionary approach for the optimal design of compact heat exchangers. A learning automata based particle swarm optimization (LAPSO) is developed for optimization task. Seven design parameters, including discreet and continuous ones, are considered as optimization variables. To make the constraint handling straightforward, a self-adaptive penalty function method is employed. The efficiency and the accuracy of the proposed method are demonstrated through two illustrative examples that include three objectives, namely minimum total annual cost, minimum weight and minimum number of entropy generation units. Numerical results indicate that the presented approach generates the optimum configuration with higher accuracy and a higher success rate when compared with genetic algorithms (GAs) and particle swarm optimization (PSO).
format Article
author Yousefi, Moslem
Enayatifar, Rasul
Darus, Amer Nordin
Abdullah, Hanan
author_facet Yousefi, Moslem
Enayatifar, Rasul
Darus, Amer Nordin
Abdullah, Hanan
author_sort Yousefi, Moslem
title A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
title_short A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
title_full A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
title_fullStr A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
title_full_unstemmed A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
title_sort robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers
publishDate 2012
url http://eprints.utm.my/id/eprint/46530/
http://dx.doi.org/10.1016/j.icheatmasstransfer.2012.10.002
_version_ 1643652062553047040
score 13.18916

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