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2019 | OriginalPaper | Chapter

6. Multi-objective Design Optimization of Ice Thermal Energy Storage System Using Jaya Algorithm and Its Variants

Author : Ravipudi Venkata Rao

Published in: Jaya: An Advanced Optimization Algorithm and its Engineering Applications

Publisher: Springer International Publishing

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Abstract

This chapter presents the details of the performance optimization of an Ice Thermal Energy Storage (ITES) system carried out using TLBO algorithm, Jaya and self-adaptive Jaya algorithms. The results achieved by using Jaya and self-adaptive Jaya algorithms are compared with those obtained by using the GA and TLBO techniques for ITES system with phase change material (PCM). In ITES system, two objective functions including exergy efficiency (to be maximized) and total cost rate (to be minimized) of the whole system are considered. The Jaya and self-adaptive Jaya algorithms are proved superior to GA and TLBO optimization algorithms in terms of robustness of the results. The self-adaptive Jaya takes less computational time and the function evaluations as compared to the other algorithms.

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previous chapter Single- and Multi-objective Design Optimization of Heat Pipes and Heat Sinks Using Jaya Algorithm and Its Variants
next chapter Single- and Multi-objective Optimization of Traditional and Modern Machining Processes Using Jaya Algorithm and Its Variants
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Metadata
Title
Multi-objective Design Optimization of Ice Thermal Energy Storage System Using Jaya Algorithm and Its Variants
Author
Ravipudi Venkata Rao
Copyright Year
2019
Book
Jaya: An Advanced Optimization Algorithm and its Engineering Applications

Print ISBN: 978-3-319-78921-7

Electronic ISBN: 978-3-319-78922-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-78922-4_6

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