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Recent advances of whale optimization algorithm, its versions and applications

Swarm intelligence (SI) is an approach inspired by natural phenomena that have been implemented in the optimization field. This field has rapidly increased very fast recently. The main idea behind the SI is to transfer the interactions between living organisms into a mathematical model that can find...

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Main Authors:	Alyasseri Z.A.A., Ali N.S., Al-Betar M.A., Makhadmeh S.N., Jamil N., Awadallah M.A., Braik M., Mirjalili S.
Other Authors:	57862594800
Format:	Book chapter
Published:	Elsevier 2024
Subjects:	Energy application Metaheuristics Optimization Swarm intelligence Whale optimization algorithm
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id	my.uniten.dspace-34378
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spelling	my.uniten.dspace-343782024-10-14T11:19:23Z Recent advances of whale optimization algorithm, its versions and applications Alyasseri Z.A.A. Ali N.S. Al-Betar M.A. Makhadmeh S.N. Jamil N. Awadallah M.A. Braik M. Mirjalili S. 57862594800 56693765600 57202908939 57204358587 36682671900 6603390660 25631941000 51461922300 Energy application Metaheuristics Optimization Swarm intelligence Whale optimization algorithm Swarm intelligence (SI) is an approach inspired by natural phenomena that have been implemented in the optimization field. This field has rapidly increased very fast recently. The main idea behind the SI is to transfer the interactions between living organisms into a mathematical model that can find the optimal solution for real-world problems based on biological behavior such as ants, birds, and fish. One of the SI algorithms is called the whale optimization algorithm (WOA). The WOA is a robust optimization algorithm that mimics the social behavior of humpback whales in nature. The WOA was proposed by Mirjalili in 2016 and its success implement in different real-world problems. This chapter reviewed and analyzed the recent works published using WOA from 2021 to 2022. The WOA has very impressive characteristics such as its easy-to-use, simple in concepts, flexibility and adaptability, consistency, sound, and completeness. Initially, the growth of the recent solid works published in Scopus-indexed articles is summarized in terms of the number of WOA-based top institutions, top publishers, and top countries. Then, the different versions of WOA are highlighted to be in line with the complex nature of optimization problems such as binary, modified, multiobjective, and hybridized of the WOA. The successful applications of WOA are summarized. The open-source codes of the WOA code are given to build a wealthy WOA review. Finally, the WOA review is concluded. The reader of this review will determine the best domains and applications used by WOA and can justify their WOA-related contributions. � 2024 Elsevier Inc. All rights reserved. Final 2024-10-14T03:19:23Z 2024-10-14T03:19:23Z 2023 Book chapter 10.1016/B978-0-32-395365-8.00008-7 2-s2.0-85189603086 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189603086&doi=10.1016%2fB978-0-32-395365-8.00008-7&partnerID=40&md5=6ffacb4bf1c3b68571df3d99c20382f5 https://irepository.uniten.edu.my/handle/123456789/34378 9 31 Elsevier Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Energy application Metaheuristics Optimization Swarm intelligence Whale optimization algorithm
spellingShingle	Energy application Metaheuristics Optimization Swarm intelligence Whale optimization algorithm Alyasseri Z.A.A. Ali N.S. Al-Betar M.A. Makhadmeh S.N. Jamil N. Awadallah M.A. Braik M. Mirjalili S. Recent advances of whale optimization algorithm, its versions and applications
description	Swarm intelligence (SI) is an approach inspired by natural phenomena that have been implemented in the optimization field. This field has rapidly increased very fast recently. The main idea behind the SI is to transfer the interactions between living organisms into a mathematical model that can find the optimal solution for real-world problems based on biological behavior such as ants, birds, and fish. One of the SI algorithms is called the whale optimization algorithm (WOA). The WOA is a robust optimization algorithm that mimics the social behavior of humpback whales in nature. The WOA was proposed by Mirjalili in 2016 and its success implement in different real-world problems. This chapter reviewed and analyzed the recent works published using WOA from 2021 to 2022. The WOA has very impressive characteristics such as its easy-to-use, simple in concepts, flexibility and adaptability, consistency, sound, and completeness. Initially, the growth of the recent solid works published in Scopus-indexed articles is summarized in terms of the number of WOA-based top institutions, top publishers, and top countries. Then, the different versions of WOA are highlighted to be in line with the complex nature of optimization problems such as binary, modified, multiobjective, and hybridized of the WOA. The successful applications of WOA are summarized. The open-source codes of the WOA code are given to build a wealthy WOA review. Finally, the WOA review is concluded. The reader of this review will determine the best domains and applications used by WOA and can justify their WOA-related contributions. � 2024 Elsevier Inc. All rights reserved.
author2	57862594800
author_facet	57862594800 Alyasseri Z.A.A. Ali N.S. Al-Betar M.A. Makhadmeh S.N. Jamil N. Awadallah M.A. Braik M. Mirjalili S.
format	Book chapter
author	Alyasseri Z.A.A. Ali N.S. Al-Betar M.A. Makhadmeh S.N. Jamil N. Awadallah M.A. Braik M. Mirjalili S.
author_sort	Alyasseri Z.A.A.
title	Recent advances of whale optimization algorithm, its versions and applications
title_short	Recent advances of whale optimization algorithm, its versions and applications
title_full	Recent advances of whale optimization algorithm, its versions and applications
title_fullStr	Recent advances of whale optimization algorithm, its versions and applications
title_full_unstemmed	Recent advances of whale optimization algorithm, its versions and applications
title_sort	recent advances of whale optimization algorithm, its versions and applications
publisher	Elsevier
publishDate	2024
_version_	1814061177532055552
score	13.222552

Recent advances of whale optimization algorithm, its versions and applications

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