Application of cuckoo search for design optimization of heat exchangers

Khosravi, Rihanna, Khosravi, Abbas and Nahavandi, Saeid 2014, Application of cuckoo search for design optimization of heat exchangers. In Loo, C. K., Yap, K. S., Wong, K. W., Teoh, A. and Huang, K. (ed), Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II, Springer, Cham, Switzerland, pp.178-185, doi: 10.1007/978-3-319-12640-1.

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Title Application of cuckoo search for design optimization of heat exchangers
Author(s) Khosravi, Rihanna
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Title of book Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part II
Editor(s) Loo, C. K.
Yap, K. S.
Wong, K. W.
Teoh, A.
Huang, K.
Publication date 2014
Series Lecture notes in computer science; v.8835
Chapter number 22
Total chapters 71
Start page 178
End page 185
Total pages 8
Publisher Springer
Place of Publication Cham, Switzerland
Keyword(s) Cuckoo search
Genetic algorithm
Heat exchanger
Optimization
Summary 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.
ISBN 9783319126395
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-12640-1
Field of Research 080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2014, Springer International Publishing
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070734

Document type: Book Chapter
Collection: Centre for Intelligent Systems Research
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