A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers
This review study presents the utilization of different evolutionary algorithms (EAs) for plate-fin heat exchanger (PFHE) design optimization in the last decade. The traditional trialand- error design process of CHEs can be replaced by a more flexible and easy-to-implement evolutionary approach. EAs...
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my.uniten.dspace-225402023-05-29T14:01:47Z A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers Yousefi M. Yousefi M. Khaksar W. Ismail Alnaimi F.B. Darus A.N. 53985756300 55247052200 54960984900 58027086700 56584823100 This review study presents the utilization of different evolutionary algorithms (EAs) for plate-fin heat exchanger (PFHE) design optimization in the last decade. The traditional trialand- error design process of CHEs can be replaced by a more flexible and easy-to-implement evolutionary approach. EAs do need any information of derivatives and therefore can be implemented in a wide range of applications without much effort. Many EAs have been successfully presented and employed in various fields of engineering including heat transfer problems and more specifically CHE design optimization. However there seems to be gap in the literature regarding analyses of pros and cons of these algorithms for use in this field. This study could be useful for future use of EAs in not only CHE design optimization but also for the whole field of heat exchanger. � 2015 Praise Worthy Prize S.r.l. - All rights reserved. Final 2023-05-29T06:01:47Z 2023-05-29T06:01:47Z 2015 Article 10.15866/ireme.v9i1.4720 2-s2.0-84937939243 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937939243&doi=10.15866%2fireme.v9i1.4720&partnerID=40&md5=82ed400ad95fe521a29dbbc810aea67c https://irepository.uniten.edu.my/handle/123456789/22540 9 1 81 90 Praise Worthy Prize Scopus |
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This review study presents the utilization of different evolutionary algorithms (EAs) for plate-fin heat exchanger (PFHE) design optimization in the last decade. The traditional trialand- error design process of CHEs can be replaced by a more flexible and easy-to-implement evolutionary approach. EAs do need any information of derivatives and therefore can be implemented in a wide range of applications without much effort. Many EAs have been successfully presented and employed in various fields of engineering including heat transfer problems and more specifically CHE design optimization. However there seems to be gap in the literature regarding analyses of pros and cons of these algorithms for use in this field. This study could be useful for future use of EAs in not only CHE design optimization but also for the whole field of heat exchanger. � 2015 Praise Worthy Prize S.r.l. - All rights reserved. |
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53985756300 |
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53985756300 Yousefi M. Yousefi M. Khaksar W. Ismail Alnaimi F.B. Darus A.N. |
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Yousefi M. Yousefi M. Khaksar W. Ismail Alnaimi F.B. Darus A.N. |
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Yousefi M. Yousefi M. Khaksar W. Ismail Alnaimi F.B. Darus A.N. A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
author_sort |
Yousefi M. |
title |
A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
title_short |
A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
title_full |
A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
title_fullStr |
A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
title_full_unstemmed |
A comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
title_sort |
comprehensive review on the application of evolutionary computation in design optimization of plate-fin heat exchangers |
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Praise Worthy Prize |
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2023 |
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1806427890588319744 |
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13.18916 |