An Improved Binary Artificial Bee Colony Algorithm

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dc.contributor.authorKaya, Ersin
dc.contributor.authorKiran, Mustafa Servet
dc.date.accessioned2020-03-26T19:33:48Z
dc.date.available2020-03-26T19:33:48Z
dc.date.issued2017
dc.departmentSelçuk Üniversitesien_US
dc.description15th International Conference on ICT and Knowledge Engineering (ICT&KE) -- NOV 22-24, 2017 -- Siam Univ, Bangkok, THAILANDen_US
dc.description.abstractThe xor-based artificial bee colony algorithm, called as binABC, is a novel variant of basic artificial bee colony (ABC) algorithm, which is proposed for solving binary optimization problems. This algorithm uses xor logic operator to search solution space instead of subtraction-based solution update rule of basic ABC due to discrete nature of the binary optimization. Similar to basic version of the algorithm, only one decision variable (dimension) is updated by the artificial agents of binABC. This approach causes slow convergence in the algorithm, and a proportional changing, which is depended on the number of decision variable of the optimization problem, is proposed in this study. The proposed approach is applied to solve a well-known binary optimization problem whose name is uncapacitated facility location problem (UFLP). Twelve instances of this problem are used in the experiments and obtained results are compared with the binABC algorithm in terms of solution quality, robustness and convergence characteristics. Experimental results show that the proposed approach is useful for controlling convergence characteristics and obtaining better quality of solution.en_US
dc.description.sponsorshipAPD MEN, IEEE, aAwnen_US
dc.identifier.endpage34en_US
dc.identifier.isbn978-1-5386-2115-8; 978-1-5386-2117-2
dc.identifier.issn2157-0981en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage29en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/34786
dc.identifier.wosWOS:000426526500005en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2017 15TH INTERNATIONAL CONFERENCE ON ICT AND KNOWLEDGE ENGINEERING (ICT&KE)en_US
dc.relation.ispartofseriesInternational Conference on ICT and Knowledge Engineering
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectartificial bee colonyen_US
dc.subjectxor-based solution update ruleen_US
dc.subjectbinary optimizationen_US
dc.subjectuncapacitated facility locationen_US
dc.titleAn Improved Binary Artificial Bee Colony Algorithmen_US
dc.typeConference Objecten_US

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