Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

Hussien, AG; Abualigah, L; Zitar, RA; Hashim, FA; Amin, M; Saber, A; Almotairi, KH; Gandomi, AH

Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

Hussien, AG Abualigah, L Zitar, RA Hashim, FA Amin, M Saber, A Almotairi, KH Gandomi, AH

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Electronics (Switzerland), 2022, 11, (12)
Issue Date:: 2022-06-01

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Field	Value	Language
dc.contributor.author	Hussien, AG
dc.contributor.author	Abualigah, L
dc.contributor.author	Zitar, RA
dc.contributor.author	Hashim, FA
dc.contributor.author	Amin, M
dc.contributor.author	Saber, A
dc.contributor.author	Almotairi, KH
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-03-28T03:29:31Z
dc.date.available	2023-03-28T03:29:31Z
dc.date.issued	2022-06-01
dc.identifier.citation	Electronics (Switzerland), 2022, 11, (12)
dc.identifier.issn	1450-5843
dc.identifier.issn	2079-9292
dc.identifier.uri	http://hdl.handle.net/10453/168693
dc.description.abstract	The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Electronics (Switzerland)
dc.relation.isbasedon	10.3390/electronics11121919
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0906 Electrical and Electronic Engineering
dc.title	Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
dc.date.updated	2023-03-28T03:29:29Z
pubs.issue	12
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	12

Abstract:

The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications.

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http://hdl.handle.net/10453/168693