Universiti Teknologi Malaysia Institutional Repository

A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers

Yousefi, Moslem and Enayatifar, Rasul and Darus, Amer Nordin and Abdullah, Hanan (2012) A robust learning based evolutionary approach for thermal-economic optimization of compact heat exchangers. International Communications in Heat and Mass Transfer, 39 (10). pp. 1605-1615. ISSN 0735-1933

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

Abstract

This paper presents a robust, efficient and parameter-setting-free evolutionary approach for the optimal design of compact heat exchangers. A learning automata based particle swarm optimization (LAPSO) is developed for optimization task. Seven design parameters, including discreet and continuous ones, are considered as optimization variables. To make the constraint handling straightforward, a self-adaptive penalty function method is employed. The efficiency and the accuracy of the proposed method are demonstrated through two illustrative examples that include three objectives, namely minimum total annual cost, minimum weight and minimum number of entropy generation units. Numerical results indicate that the presented approach generates the optimum configuration with higher accuracy and a higher success rate when compared with genetic algorithms (GAs) and particle swarm optimization (PSO).

Item Type:Article
Uncontrolled Keywords:Heat and mass transfer
Subjects:Q Science > QC Physics
Divisions:Mechanical Engineering
ID Code:46530
Deposited By: Haliza Zainal
Deposited On:22 Jun 2015 13:56
Last Modified:12 Sep 2017 15:45

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