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Optimal design of plate-fin heat exchangers by a hybrid evolutionary algorithm

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

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Official URL: http://dx.doi.org/10.1016/j.icheatmasstransfer.201...

Abstract

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.

Item Type:Article
Uncontrolled Keywords:genetic algorithm, hybrid algorithm, optimization
Subjects:Q Science > QC Physics
Divisions:Mechanical Engineering
ID Code:47312
Deposited By: Narimah Nawil
Deposited On:22 Jun 2015 05:56
Last Modified:28 Jan 2019 03:54

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