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Application of cuckoo search for design optimization of heat exchangers
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posted on 2014-01-01, 00:00 authored by Rihanna Khosravi, Abbas KhosraviAbbas Khosravi, Saeid NahavandiA 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.
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Title of book
Neural information processing : 21st International Conference ICONIP 2014 Kuching, Malaysia, November 3-6, 2014 Proceedings, Part IIVolume
8835Series
Lecture notes in computer science; v.8835Chapter number
22Pagination
178 - 185Publisher
Springer VerlagPlace of publication
SwitzerlandPublisher DOI
ISSN
0302-9743eISSN
1611-3349ISBN-13
9783319126395Language
engPublication classification
B Book chapter; B1 Book chapterCopyright notice
2014, Springer International PublishingExtent
71Editor/Contributor(s)
C Loo, K Yap, K Wong, A Teoh, K HuangUsage metrics
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