Improved binary artificial bee colony algorithm

Basit Öğe Kaydı
dc.authoridDurgut, Rafet/0000-0002-6891-5851
dc.contributor.authorDurgut, Rafet
dc.date.accessioned2024-09-29T16:06:27Z
dc.date.available2024-09-29T16:06:27Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe artificial bee colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees' food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply it to binary optimization problems. In this study, we modify the ABC algorithm to solve binary optimization problems and name it the improved binary ABC (IbinABC). The proposed method consists of an update mechanism based on fitness values and the selection of different decision variables. Therefore, we aim to prevent the ABC algorithm from getting stuck in a local minimum by increasing its exploration ability. We compare the IbinABC algorithm with three variants of the ABC and other meta-heuristic algorithms in the literature. For comparison, we use the well-known OR-Library dataset containing 15 problem instances prepared for the uncapacitated facility location problem. Computational results show that the proposed algorithm is superior to the others in terms of convergence speed and robustness. The source code of the algorithm is available at .en_US
dc.identifier.doi10.1631/FITEE.2000239
dc.identifier.endpage1091en_US
dc.identifier.issn2095-9184
dc.identifier.issn2095-9230
dc.identifier.issue8en_US
dc.identifier.scopus2-s2.0-85113784390en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1080en_US
dc.identifier.urihttps://doi.org/10.1631/FITEE.2000239
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6828
dc.identifier.volume22en_US
dc.identifier.wosWOS:000690913800005en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherZhejiang Univen_US
dc.relation.ispartofFrontiers of Information Technology & Electronic Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial bee colonyen_US
dc.subjectBinary optimizationen_US
dc.subjectUncapacitated facility location problem (UFLP)en_US
dc.subjectTP301en_US
dc.subject6en_US
dc.titleImproved binary artificial bee colony algorithmen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu