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Cited 23 time in webofscience Cited 28 time in scopus
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Harmony search algorithm for energy system applications: an updated review and analysis

Authors
Nazari-Heris, MortezaMohammadi-Ivatloo, BehnamAsadi, SomayehKim, Jin-HongGeem, Zong Woo
Issue Date
3-Sep-2019
Publisher
TAYLOR & FRANCIS LTD
Keywords
Harmony search; energy systems; optimisation; metaheuristics
Citation
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, v.31, no.5, pp.723 - 749
Journal Title
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Volume
31
Number
5
Start Page
723
End Page
749
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/999
DOI
10.1080/0952813X.2018.1550814
ISSN
0952-813X
Abstract
Recent advancements in energy systems have led to a series of new challenges in the decision-making process. Harmony search (HS) algorithm, which is a music-inspired optimisation technique, has been applied to some of these decision-making processes to obtain optimal set points within these energy systems. HS is based on the music improvisation process where musicians try to find better harmonies. Some of the advantages of HS method are that it is relatively simple to implement and require less algorithmic parameters. This paper aims to provide a comprehensive review on the applications of HS method to energy systems, that concentrate on two main objectives. First, the improved versions of HS introduced in recent studies will be reported. Second, contributed researches in energy systems by using HS will be analysed.
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