Comparison of the success of meta-heuristic algorithms in tool path planning of computer numerical control machine

dc.contributor.authorÇaska, Serkan
dc.contributor.authorGök, Kadir
dc.contributor.authorGök, Arif
dc.date.accessioned2023-03-22T19:47:23Z
dc.date.available2023-03-22T19:47:23Z
dc.date.issued2022
dc.departmentBelirleneceken_US
dc.description.abstractCarrying out an engineering process with the least cost and within the shortest time is the basic purpose in many fields of industry. In Computer Numerical Control (CNC) machining, performing a process by following a certain order reduces cost and time of the process. In the literature, there are research works involving varying methods that aim to minimize the length of the CNC machine tool path. In this study, the trajectory that the CNC machine tool follows while drilling holes on a plate was discussed within the Travelling Salesman Problem (TSP). Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO) methods were used to solve TSP. The case that the shortest tool path was obtained was determined by changing population size parameter in GA, PSO, and GWO methods. The results were presented in tables.en_US
dc.identifier.doi10.1142/S0218625X22501268
dc.identifier.issn0218-625X
dc.identifier.issn1793-6667
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85139211356en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1142/S0218625X22501268
dc.identifier.urihttps://hdl.handle.net/20.500.14034/664
dc.identifier.volume29en_US
dc.identifier.wosWOS:000853137900007en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherWorld Scientific Publ Co Pte Ltden_US
dc.relation.journalSurface Review And Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputer numerical control machineen_US
dc.subjectgenetic algorithmsen_US
dc.subjectparticle swarm optimizationen_US
dc.subjectgrey wolf optimizeren_US
dc.subjecttravelling salesman problemen_US
dc.subjectOptimization Algorithmen_US
dc.titleComparison of the success of meta-heuristic algorithms in tool path planning of computer numerical control machineen_US
dc.typeArticleen_US

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