Comparison of the success of meta-heuristic algorithms in tool path planning of computer numerical control machine
Küçük Resim Yok
Tarih
2022
Yazarlar
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Dergi ISSN
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Yayıncı
World Scientific Publ Co Pte Ltd
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Carrying 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.
Açıklama
Anahtar Kelimeler
Computer numerical control machine, genetic algorithms, particle swarm optimization, grey wolf optimizer, travelling salesman problem, Optimization Algorithm
