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Application of cuckoo search for design optimization of heat exchangers

Version 2 2024-06-04, 02:17
Version 1 2015-03-16, 15:48
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posted on 2024-06-04, 02:17 authored by R Khosravi, Abbas KhosraviAbbas Khosravi, S Nahavandi
A wide variety of evolutionary optimization algorithms have been used by researcher for optimal design of shell and tube heat exchangers (STHX). The purpose of optimization is to minimize capital and operational costs subject to efficiency constraints. This paper comprehensively examines performance of genetic algorithm (GA) and cuckoo search (CS) for solving STHX design optimization. While GA has been widely adopted in the last decade for STHX optimal design, there is no report on application of CS method for this purpose. Simulation results in this paper demonstrate that CS greatly outperforms GA in terms of finding admissible and optimal configurations for STHX. It is also found that CS method not only has a lower computational requirement, but also generates the most consistent results.

History

Volume

8835

Chapter number

22

Pagination

178-185

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319126395

Language

eng

Publication classification

B Book chapter, B1 Book chapter

Copyright notice

2014, Springer

Extent

71

Editor/Contributor(s)

Loo CK, Yap KS, Wong KW, Teoh A, Huang K

Publisher

Springer Verlag

Place of publication

Switzerland

Title of book

Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II

Series

Lecture notes in computer science; v.8835

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