Black hole algorithm: A comprehensive survey

Abualigah, L; Elaziz, MA; Sumari, P; Khasawneh, AM; Alshinwan, M; Mirjalili, S; Shehab, M; Abuaddous, HY; Gandomi, AH

Black hole algorithm: A comprehensive survey

Abualigah, L Elaziz, MA Sumari, P Khasawneh, AM Alshinwan, M Mirjalili, S Shehab, M Abuaddous, HY Gandomi, AH

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Applied Intelligence, 2022, 52, (10), pp. 11892-11915
Issue Date:: 2022-08-01

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Field	Value	Language
dc.contributor.author	Abualigah, L
dc.contributor.author	Elaziz, MA
dc.contributor.author	Sumari, P
dc.contributor.author	Khasawneh, AM
dc.contributor.author	Alshinwan, M
dc.contributor.author	Mirjalili, S
dc.contributor.author	Shehab, M
dc.contributor.author	Abuaddous, HY
dc.contributor.author	Gandomi, AH
dc.date.accessioned	2023-03-20T21:35:46Z
dc.date.available	2023-03-20T21:35:46Z
dc.date.issued	2022-08-01
dc.identifier.citation	Applied Intelligence, 2022, 52, (10), pp. 11892-11915
dc.identifier.issn	0924-669X
dc.identifier.issn	1573-7497
dc.identifier.uri	http://hdl.handle.net/10453/167793
dc.description.abstract	This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is considered as a recent metaheuristic. BHA has been proven to be very efficient in different applications. There has been several modifications and variants of this algorithm in the literature, so this work reviews various variants of the BHA. The applications of BHA in engineering problems, clustering, task scheduling, image processing, etc. have been thoroughly reviewed as well. This review article sheds lights on the pros and cons of this algorithm and enables finding a right variant of this algorithm for a certain application area. The paper concludes with an in-depth future direction.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Applied Intelligence
dc.relation.isbasedon	10.1007/s10489-021-02980-5
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	Black hole algorithm: A comprehensive survey
dc.type	Journal Article
utslib.citation.volume	52
utslib.for	0801 Artificial Intelligence and Image Processing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-20T21:35:45Z
pubs.issue	10
pubs.publication-status	Published
pubs.volume	52
utslib.citation.issue	10

Abstract:

This paper provides an in-depth literature review of the Black Hole Algorithm (BHA) which is considered as a recent metaheuristic. BHA has been proven to be very efficient in different applications. There has been several modifications and variants of this algorithm in the literature, so this work reviews various variants of the BHA. The applications of BHA in engineering problems, clustering, task scheduling, image processing, etc. have been thoroughly reviewed as well. This review article sheds lights on the pros and cons of this algorithm and enables finding a right variant of this algorithm for a certain application area. The paper concludes with an in-depth future direction.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/167793