A Comprehensive Review of Bat Inspired Algorithm: Variants, Applications, and Hybridization.

Autor: Shehab M; Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, 11953 Jordan., Abu-Hashem MA; Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia., Shambour MKY; The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Mecca, Saudi Arabia., Alsalibi AI; Department of Information Technology, Faculty of Engineering and Information Technology, Israa University, Gaza, Palestine., Alomari OA; MLALP Research Group, University of Sharjah, Sharjah, United Arab Emirates., Gupta JND; College of Business, University of Alabama in Huntsville, Huntsville, AL USA., Alsoud AR; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328 Jordan., Abuhaija B; Department of Computer Science, Wenzhou-Kean University, Wenzhou, China., Abualigah L; Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, 19328 Jordan.; Faculty of Information Technology, Middle East University, Amman, 11831 Jordan.
Jazyk: angličtina
Zdroj: Archives of computational methods in engineering : state of the art reviews [Arch Comput Methods Eng] 2023; Vol. 30 (2), pp. 765-797. Date of Electronic Publication: 2022 Sep 21.
DOI: 10.1007/s11831-022-09817-5
Abstrakt: Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, economic load dispatch problems, engineering design, image processing and medical applications. Thus, this review introduces a comprehensive and exhaustive review of the BA, as well as evaluates its main characteristics by comparing it with other optimization algorithms. The review paper highlights the performance of BA in different applications and the modifications that have been conducted by researchers (i.e., variants of BA). At the end, the conclusions focus on the current work on BA, highlighting its weaknesses, and suggest possible future research directions. The review paper will be helpful for the researchers and practitioners of BA belonging to a wide range of audiences from the domains of optimization, engineering, medical, data mining and clustering. As well, it is wealthy in research on health, environment and public safety. Also, it will aid those who are interested by providing them with potential future research.
Competing Interests: Conflict of interestThe authors declare that there is no conflict of interest regarding the publication of this paper.
(© The Author(s) under exclusive licence to International Center for Numerical Methods in Engineering (CIMNE) 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
Databáze: MEDLINE
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