Ant Colony Metaheuristic and an application on traveling salesman problem

dc.contributor.authorAlaykıran, Kemal
dc.contributor.authorEngin, Orhan
dc.date.accessioned2020-03-26T16:58:32Z
dc.date.available2020-03-26T16:58:32Z
dc.date.issued2005
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAnt Colony Optimization Metaheuristic is a population-based, random search algorithm. Ant Colony Optimization Metaheuristic is influenced by the observation of the natural food foraging processes of ant colonies. In this study, the first algorithm of ant colony optimization metaheuristic - ant system (AS)- is introduced, the formulation and the mechanism of the algorithm is given. In addition, the improved AS algorithms - Max-Min AS and Rank-Based AS- are introduced. Moreover, a literature overview of AS applications since 1992 are given. Furthermore, some of the traveling salesman problems existing in the literature are solved using a computer program coded using Visual Basic for Ant Colony Optimization Metaheuristic and the results are compared with optimum tour lengths of these problems.en_US
dc.identifier.endpage76en_US
dc.identifier.issn1300-1884en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage69en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/19974
dc.identifier.volume20en_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAnt Colony Optimization Metaheuristicen_US
dc.subjectTraveling salesman problemen_US
dc.titleAnt Colony Metaheuristic and an application on traveling salesman problemen_US
dc.title.alternativeKarınca Kolonileri Metasezgiseli Ve Gezgin Satıcı Problemleri Üzerinde Bir Uygulaması
dc.typeArticleen_US

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