COMPARISON OF THE SUCCESS OF META-HEURISTIC ALGORITHMS IN TOOL PATH PLANNING OF COMPUTER NUMERICAL CONTROL MACHINE

Simple item page
dc.contributor.authorÇaşka S.
dc.contributor.authorGök K.
dc.contributor.authorGök A.
dc.date.accessioned2024-07-22T08:04:02Z
dc.date.available2024-07-22T08:04:02Z
dc.date.issued2022
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. © 2022 World Scientific Publishing Company.
dc.identifier.DOI-ID10.1142/S0218625X22501268
dc.identifier.issn0218625X
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12546
dc.language.isoEnglish
dc.publisherWorld Scientific
dc.subjectComputer control systems
dc.subjectCost engineering
dc.subjectHeuristic algorithms
dc.subjectMachine tools
dc.subjectMotion planning
dc.subjectNumerical control systems
dc.subjectParticle swarm optimization (PSO)
dc.subjectPopulation statistics
dc.subjectTraveling salesman problem
dc.subjectComputer numerical control machines
dc.subjectGray wolf optimizer
dc.subjectGray wolves
dc.subjectMeta-heuristics algorithms
dc.subjectNumerical control machine tool
dc.subjectOptimizers
dc.subjectParticle swarm
dc.subjectParticle swarm optimization
dc.subjectSwarm optimization
dc.subjectToolpaths
dc.subjectGenetic algorithms
dc.titleCOMPARISON OF THE SUCCESS OF META-HEURISTIC ALGORITHMS IN TOOL PATH PLANNING OF COMPUTER NUMERICAL CONTROL MACHINE
dc.typeArticle

Files

Collections

Scopus Koleksiyonu