XOR-based artificial bee colony algorithm for binary optimization

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dc.contributor.authorKiran, Mustafa Servet
dc.contributor.authorGunduz, Mesut
dc.date.accessioned2020-03-26T18:44:28Z
dc.date.available2020-03-26T18:44:28Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe artificial bee colony (ABC) algorithm, which was inspired by the foraging and dance behaviors of real honey bee colonies, was first introduced for solving numerical optimization problems. When the solution space of the optimization problem is binary-structured, the basic ABC algorithm should be modified for solving this class of problems. In this study, we propose XOR-based modification for the solution-updating equation of the ABC algorithm in order to solve binary optimization problems. The proposed method, named binary ABC (binABC), is examined on an uncapacitated facility location problem, which is a pure binary optimization problem, and the results obtained by the binABC are compared with results obtained by binary particle swarm optimization (BPSO), the discrete ABC (DisABC) algorithm, and improved BPSO (IBPSO). The experimental results show that binABC is an alternative tool for solving binary optimization problems and is a competitive algorithm when compared with BPSO, DisABC, and IBPSO in terms of solution quality, robustness, and simplicity.en_US
dc.identifier.doi10.3906/elk-1203-104en_US
dc.identifier.endpage2328en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage2307en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1203-104
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29999
dc.identifier.volume21en_US
dc.identifier.wosWOS:000326514200015en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectSwarm intelligenceen_US
dc.subjectartificial bee colonyen_US
dc.subjectbinary optimizationen_US
dc.subjectlogic operatorsen_US
dc.subjectuncapacitated facility locationen_US
dc.titleXOR-based artificial bee colony algorithm for binary optimizationen_US
dc.typeArticleen_US

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