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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| Format: | Article |
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Elsevier Ltd.
2012
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| _version_ | 1796859123474628608 |
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| author | Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin |
| author_facet | Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin |
| author_sort | Yousefi, Moslem |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T19:22:32Z |
| format | Article |
| id | utm.eprints-47312 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:22:32Z |
| publishDate | 2012 |
| publisher | Elsevier Ltd. |
| record_format | dspace |
| spelling | utm.eprints-473122019-01-28T03:54:32Z http://eprints.utm.my/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 |
| spellingShingle | QC Physics Yousefi, Moslem Enayatifar, Rasul Darus, Amer Nordin Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm |
| title | 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_short | 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 |
| topic | QC Physics |
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