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Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation

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dc.contributor.buuauthorYıldız, Ali Rıza
dc.contributor.buuauthorÖztürk, Ferruh
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentMakine Mühendisliği Bölümü
dc.contributor.orcid0000-0003-1790-6987
dc.contributor.researcheridAAG-9923-2021
dc.contributor.researcheridF-7426-2011
dc.contributor.scopusid7102365439
dc.contributor.scopusid56271685800
dc.date.accessioned2021-08-23T05:59:18Z
dc.date.available2021-08-23T05:59:18Z
dc.date.issued2006
dc.description.abstractThe current paper presents a hybrid enhanced genetic algorithm that is developed for solving the optimization problems in design and manufacturing. The present approach is applied to optimize turning operation for the determination of cutting parameters considering minimum production cost under a set of machining constraints. A refined design space for population is introduced by integrating the robust parameter design concept into the genetic algorithm to solve multi-objective and single-objective optimization problems. First, the proposed approach is validated using test problems and metrics taken from literature. Finally, it is applied to the turning optimization problem. The computational experimental results show the effectiveness of the proposed approach in the turning optimization problem.
dc.identifier.citationYıldız, A. R. ve Öztürk, F. (2006). ''Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation''. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 220(12), 2041-2053.
dc.identifier.doi10.1243/09544054JEM570
dc.identifier.endpage5053
dc.identifier.issn0954-4054
dc.identifier.issn2041-2975
dc.identifier.issue12
dc.identifier.scopus2-s2.0-34247111349
dc.identifier.startpage2041
dc.identifier.urihttps://doi.org/10.1243/09544054JEM570
dc.identifier.urihttps://journals.sagepub.com/doi/10.1243/09544054JEM570
dc.identifier.urihttp://hdl.handle.net/11452/21506
dc.identifier.volume220
dc.identifier.wos000243418200011
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherSage Publications
dc.relation.journalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectRobust parameter design
dc.subjectGenetic algorithm
dc.subjectTurning optimization
dc.subjectOptimization
dc.subjectDesign
dc.subjectComputational methods
dc.subjectConstraint theory
dc.subjectMachining
dc.subjectOptimal control systems
dc.subjectOptimization
dc.subjectProblem solving
dc.subjectSingle objective optimization problems
dc.subject.scopusMachining; Chatter; Turning
dc.subject.wosEngineering, mechanical
dc.subject.wosEngineering, manufacturing
dc.titleHybrid enhanced genetic algorithm to select optimal machining parameters in turning operation
dc.typeArticle
dc.wos.quartileQ3 (Engineering, mechanical)
dc.wos.quartileQ4 (Engineering, manufacturing)
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Makine Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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