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dc.contributor.authorMeraihi, Y
dc.contributor.authorGabis, AB
dc.contributor.authorMirjalili, S
dc.contributor.authorRamdane-Cherif, A
dc.date.accessioned2021-04-13T04:47:16Z
dc.date.available2021-04-13T04:47:16Z
dc.date.issued2021
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2021.3067597
dc.identifier.urihttp://hdl.handle.net/10072/403698
dc.description.abstractGrasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has been successfully applied to solve various optimization problems in several domains and demonstrated its merits in the literature. This paper proposes a comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others. It provides the GOA variants, including multi-objective and hybrid variants. It also discusses the main applications of GOA in various fields such as scheduling, economic dispatch, feature selection, load frequency control, distributed generation, wind energy system, and other engineering problems. Finally, the paper provides some possible future research directions in this area.
dc.description.peerreviewedYes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofpagefrom50001
dc.relation.ispartofpageto50024
dc.relation.ispartofjournalIEEE Access
dc.relation.ispartofvolume9
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchcode40
dc.subject.fieldofresearchcode46
dc.titleGrasshopper Optimization Algorithm: Theory, Variants, and Applications
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMeraihi, Y; Gabis, AB; Mirjalili, S; Ramdane-Cherif, A, Grasshopper Optimization Algorithm: Theory, Variants, and Applications, IEEE Access, 2021, 9, pp. 50001-50024
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-04-13T04:36:24Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© The Author(s) 2021. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorMirjalili, Seyedali


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