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: | , , |
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| Format: | Article |
| Published: |
Elsevier Ltd.
2012
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| 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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