An enhanced artificial bee colony algorithm based on fitness weighted search strategy

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dc.authoridCELIK, YUKSEL/0000-0002-7117-9736
dc.contributor.authorCelik, Yuksel
dc.date.accessioned2024-09-29T16:01:12Z
dc.date.available2024-09-29T16:01:12Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractArtificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee's food search behaviour based on swarm intelligence. Successful applications were performed on many optimization problems using this algorithm rising in popularity over the past few years. The update mechanism of the ABC algorithm, despite the fact that its exploration is good, faces the problem of convergence performance. For solving convergence problem of ABC Algorithm An Artificial Bee Colony Algorithm Based Fitness Weighted Search (ABCFWS) algorithm proposed in this paper. In this approach, an intelligent search space is proposed instead of the random search space of the ABC algorithm. In this method, the fitness values of the food source and the selected neighbour food source are taken as weights and a more balanced search space was found in the direction of the food source with better fitness value. The proposed method has been applied to 28 unconstrained numerical optimization test problems with different characteristics and the results were compared with the ABC algorithm variations. The results show that the proposed method is successful and competitive.en_US
dc.identifier.doi10.1080/00051144.2021.1938477
dc.identifier.endpage310en_US
dc.identifier.issn0005-1144
dc.identifier.issn1848-3380
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85109067731en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage300en_US
dc.identifier.urihttps://doi.org/10.1080/00051144.2021.1938477
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5584
dc.identifier.volume62en_US
dc.identifier.wosWOS:000668720600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofAutomatikaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial bee colonyen_US
dc.subjectmeta-heuristic optimizationen_US
dc.subjectcontinuous optimizationen_US
dc.titleAn enhanced artificial bee colony algorithm based on fitness weighted search strategyen_US
dc.typeArticleen_US

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