Grasshopper Optimization Algorithm: Theory, Variants, and Applications

Grasshopper 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 lit...

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Vydáno v:	IEEE access Ročník 9; číslo 7; s. 50001 - 50024
Hlavní autoři:	Meraihi, Yassine, Gabis, Asma Benmessaoud, Mirjalili, Seyedali, Ramdane-Cherif, Amar
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Computer Science Distributed generation Economics Education Frequency control Genetic algorithms GOA Grasshopper optimization algorithm meta-heuristics MIMICs Optimization Optimization algorithms Particle swarm optimization population-based algorithm Scientific papers Stress concentration Swarm intelligence Swarming Wind power
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	Grasshopper 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.
AbstractList	Grasshopper 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.
Author	Ramdane-Cherif, Amar Gabis, Asma Benmessaoud Meraihi, Yassine Mirjalili, Seyedali
Author_xml	– sequence: 1 givenname: Yassine orcidid: 0000-0002-3735-7797 surname: Meraihi fullname: Meraihi, Yassine email: y.meraihi@univ-boumerdes.dz organization: Laboratoire LIST, Université M'Hamed Bougara Boumerdes, Boumerdes, Algeria – sequence: 2 givenname: Asma Benmessaoud orcidid: 0000-0003-3370-0030 surname: Gabis fullname: Gabis, Asma Benmessaoud organization: Laboratoire de Méthodes de Conception de Systèmes, Ecole Nationale Supérieure d'Informatique, Algiers, Algeria – sequence: 3 givenname: Seyedali orcidid: 0000-0002-1443-9458 surname: Mirjalili fullname: Mirjalili, Seyedali organization: Centre for Artificial Intelligence Research and Optimisation, Torrens University Australia, Brisbane, QLD, Australia – sequence: 4 givenname: Amar orcidid: 0000-0001-8289-747X surname: Ramdane-Cherif fullname: Ramdane-Cherif, Amar organization: LISV Laboratory, University of Versailles St-Quentin-en-Yvelines, Velizy, France
BackLink	https://hal.science/hal-04376802$$DView record in HAL
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PublicationDecade	2020
PublicationPlace	Piscataway
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PublicationTitle	IEEE access
PublicationTitleAbbrev	Access
PublicationYear	2021
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Snippet	Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired by the foraging and swarming behavior of grasshoppers in nature. The...
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SubjectTerms	Algorithms Computer Science Distributed generation Economics Education Frequency control Genetic algorithms GOA Grasshopper optimization algorithm meta-heuristics MIMICs Optimization Optimization algorithms Particle swarm optimization population-based algorithm Scientific papers Stress concentration Swarm intelligence Swarming Wind power
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Title	Grasshopper Optimization Algorithm: Theory, Variants, and Applications
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