A NOVEL ARTIFICIAL BEE COLONY-BASED ALGORITHM FOR SOLVING THE NUMERICAL OPTIMIZATION PROBLEMS

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dc.contributor.authorKiran, Mustafa Servet
dc.contributor.authorGunduz, Mesut
dc.date.accessioned2020-03-26T18:23:34Z
dc.date.available2020-03-26T18:23:34Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractArtificial Bee Colony (ABC) is one of the popular algorithms of swarm intelligence. The ABC algorithm simulates foraging and dance behaviors of real honey bee colonies. It has high performance and success for numerical benchmark optimization problems. Although solution exploration of ABC algorithm is good, exploitation to found food sources is poor. In this study, inspiring Genetic Algorithm (GA), we proposed a crossover operation-based neighbor selection technique for information sharing in the hive. Local search and exploitation abilities of the ABC were herewith improved. The experimental results show that the improved ABC algorithm generates the solutions that are significantly more closed to minimal ones than the basic ABC algorithm on the numerical optimization problems and estimation of energy demand problem.en_US
dc.description.sponsorshipSelcuk University Coordinatorship of Scientific Research ProjectsSelcuk Universityen_US
dc.description.sponsorshipThe authors thank to Dervis KARABOGA for suggesting different crossover operators, Sirzat KAHRAMANLI for corrections in writing and analysis of time complexity of the algorithm, Eren Ozceylan for explaining the estimation energy demand problem and anonymous reviewers for their valuable comments and contributions. This study has been supported by Selcuk University Coordinatorship of Scientific Research Projects.en_US
dc.identifier.endpage6121en_US
dc.identifier.issn1349-4198en_US
dc.identifier.issn1349-418Xen_US
dc.identifier.issue9en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage6107en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27683
dc.identifier.volume8en_US
dc.identifier.wosWOS:000309246100011en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherICIC INTERNATIONALen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROLen_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.subjectNumerical optimizationen_US
dc.subjectCrossover operationen_US
dc.subjectNeighbor selectionen_US
dc.subjectEstimation of energy demanden_US
dc.titleA NOVEL ARTIFICIAL BEE COLONY-BASED ALGORITHM FOR SOLVING THE NUMERICAL OPTIMIZATION PROBLEMSen_US
dc.typeArticleen_US

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