Advances in coyote optimization algorithm : variants and applications

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dc.contributor.authorMeraihi, Yassine
dc.contributor.authorGabis, Asma Benmessaoud
dc.contributor.authorRamdane-Cherif, Amar
dc.contributor.authorAcheli, Dalila
dc.date.accessioned2023-04-03T07:44:47Z
dc.date.available2023-04-03T07:44:47Z
dc.date.issued2023
dc.description.abstractCoyote Optimization Algorithm (COA) is a recent population-based technique inspired by the attitude of coyotes in nature. COA has been widely applied to tackle different optimization issues in several areas and has proved its successfulness compared to several methods found in the literature. In this paper, we describe a brief overview of COA and its variants including adjusted and hybridized versions. Additionally, we present COA applications in various fields such as image segmentation, wireless mesh networks, economic dispatch, electric power systems, distributed generation, and other engineering issues. Finally, we recommend some interesting future research areas directions for COAen_US
dc.identifier.isbn978-303119522-8
dc.identifier.issn25228595
dc.identifier.uriDOI 10.1007/978-3-031-19523-5_7
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-031-19523-5_7
dc.identifier.urihttps://dspace.univ-boumerdes.dz/handle/123456789/11267
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesEAI/Springer Innovations in Communication and Computing/ (2023);pp. 99-113
dc.subjectAlgorithm optimizationen_US
dc.subjectCoyote Optimization Algorithm (COA)en_US
dc.subjectMeta-heuristicsen_US
dc.subjectPopulation-baseden_US
dc.titleAdvances in coyote optimization algorithm : variants and applicationsen_US
dc.typeOtheren_US

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