The continuous artificial bee colony algorithm for binary optimization

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dc.contributor.authorKiran, Mustafa Servet
dc.date.accessioned2020-03-26T19:07:20Z
dc.date.available2020-03-26T19:07:20Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractArtificial bee colony (ABC) algorithm, one of the swarm intelligence algorithms, has been proposed for continuous optimization, inspired intelligent behaviors of real honey bee colony. For the optimization problems having binary structured solution space, the basic ABC algorithm should be modified because its basic version is proposed for solving continuous optimization problems. In this study, an adapted version of ABC, ABC(bin) for short, is proposed for binary optimization. In the proposed model for solving binary optimization problems, despite the fact that artificial agents in the algorithm works on the continuous solution space, the food source position obtained by the artificial agents is converted to binary values, before the objective function specific for the problem is evaluated. The accuracy and performance of the proposed approach have been examined on well-known 15 benchmark instances of uncapacitated facility location problem, and the results obtained by ABC(bin), are compared with the results of continuous particle swarm optimization (CPSO), binary particle swarm optimization (BPSO), improved binary particle swarm optimization (IBPSO), binary artificial bee colony algorithm (binABC) and discrete artificial bee colony algorithm (DisABC). The performance of ABC(bin) is also analyzed under the change of control parameter values. The experimental results and comparisons show that proposed ABC(bin) is an alternative and simple binary optimization tool in terms of solution quality and robustness. (C) 2015 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2015.04.007en_US
dc.identifier.endpage23en_US
dc.identifier.issn1568-4946en_US
dc.identifier.issn1872-9681en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage15en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.asoc.2015.04.007
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32610
dc.identifier.volume33en_US
dc.identifier.wosWOS:000355262900002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIERen_US
dc.relation.ispartofAPPLIED SOFT COMPUTINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial bee colonyen_US
dc.subjectBinary optimizationen_US
dc.subjectConversion of continuous valuesen_US
dc.subjectUncapacitated facility location problemen_US
dc.titleThe continuous artificial bee colony algorithm for binary optimizationen_US
dc.typeArticleen_US

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