Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes

dc.authorid0000-0001-7592-8733en_US
dc.contributor.authorYıldız, Betül Sultan
dc.contributor.authorYıldız, Ali Rıza
dc.date.accessioned2021-03-20T20:13:53Z
dc.date.available2021-03-20T20:13:53Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.description.abstractIn this research, a newly developed moth-flame optimization algorithm (MFO) is presented for solving optimization problems in manufacturing industry. A well-known milling optimization problem is solved to emphasize the effectiveness of the MFO in the optimization of manufacturing problems. In the optimization problem solved in this paper, the main aim is to maximize the profit rate for multi-tool milling operations considering difficult constraints. The results demonstrate that the MFO is an effective optimization method for the solution of manufacturing optimization problems.en_US
dc.identifier.doi10.3139/120.111024en_US
dc.identifier.endpage429en_US
dc.identifier.issn0025-5300
dc.identifier.issue5en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage425en_US
dc.identifier.urihttp://doi.org/10.3139/120.111024
dc.identifier.urihttps://hdl.handle.net/20.500.12885/958
dc.identifier.volume59en_US
dc.identifier.wosWOS:000402541500002en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorYıldız, Betül Sultan
dc.language.isoenen_US
dc.publisherCarl Hanser Verlagen_US
dc.relation.ispartofMaterials Testingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMoth-flame algorithmen_US
dc.subjectoptimizationen_US
dc.subjectmilling operationen_US
dc.subjectmanufacturingen_US
dc.titleMoth-flame optimization algorithm to determine optimal machining parameters in manufacturing processesen_US
dc.typeArticleen_US

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