A Parametric Hybrid Method For the Traveling Salesman Problem

dc.contributor.authorKızılateş, Gözde
dc.contributor.authorNuriyeva, Fidan
dc.date.accessioned2020-12-01T12:23:13Z
dc.date.available2020-12-01T12:23:13Z
dc.date.issued2013
dc.departmentEge Üniversitesien_US
dc.description.abstractThe traveling salesman problem (TSP) is one of the typical NP–Hard problems of combinatorial optimization area. This paper proposes a new hyper heuristic algorithm named Parametric Hybrid Method (PHM) based on the Farthest Vertex (FV) and Greedy heuristics for solving the traveling salesman problem. in addition, many problem instances from TSPLIB (traveling salesman problem library) were solved with NN, Greedy and PHM algorithms. the experimental results show that the new hybrid algorithm is more effective and efficient than both Greedy and Nearest Neighbor algorithmsen_US
dc.identifier.endpage466en_US
dc.identifier.issn1300-686X
dc.identifier.issue3en_US
dc.identifier.startpage459en_US
dc.identifier.urihttps://app.trdizin.gov.tr//makale/TWpNek5EVXlNZz09
dc.identifier.urihttps://hdl.handle.net/11454/65173
dc.identifier.volume18en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofMathematical and Computational Applicationsen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMatematiken_US
dc.titleA Parametric Hybrid Method For the Traveling Salesman Problemen_US
dc.typeArticleen_US

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