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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Bibliographic Details
Main Authors: Yousefi, Moslem, Enayatifar, Rasul, Darus, Amer Nordin
Format: Article
Published: Elsevier Ltd. 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/47312/
http://dx.doi.org/10.1016/j.icheatmasstransfer.2011.11.011
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