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Pregled bibliografske jedinice broj: 1274255

Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic


(University of Sfax, Tunisia) Dhouib, Souhail; Pezer, Danijela
Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic // Inteligencia Artificial, 26 (2023), 71; 142-152 doi:10.4114/intartif.vol26iss71pp142-152 (međunarodna recenzija, članak, znanstveni)


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Naslov
Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic

Autori
Dhouib, Souhail ; Pezer, Danijela

Kolaboracija
University of Sfax, Tunisia

Izvornik
Inteligencia Artificial (1137-3601) 26 (2023), 71; 142-152

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Optimization ; Metaheuristics ; Computational Intelligence ; Artificial intelligence ; Drilling Path Sequence

Sažetak
The Computer Numerical Control (CNC) machine represents a turning point in today's production which has high requirements for product accuracy. The CNC machine enables a high flexibility in work and time saving and also reduces the time required for product accuracy control. Moreover, the CNC machine is used for several activities, most often for turning, drilling and milling operations. Usually, the productivity of any CNC machine can be increased considering the minimization of the non- productive tool movement. In this paper, the results of a new metaheuristic named Dhouib-Matrix-4 (DM4) with an application on the NP-hard problem based on the Traveling Salesman Problem are presented. DM4 is used for increasing the performance of the CNC Machine by optimizing a tool path length in the drilling process performed on the CNC milling machine. The proposed algorithm (DM4) achieves a solution closed to the optimum, compared with the results obtained with others standard methods.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Sveučilište u Splitu,
Sveučilište u Splitu Sveučilišni odjel za stručne studije

Profili:

Avatar Url Danijela Pezer (autor)

Poveznice na cjeloviti tekst rada:

doi journal.iberamia.org

Citiraj ovu publikaciju:

(University of Sfax, Tunisia) Dhouib, Souhail; Pezer, Danijela
Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic // Inteligencia Artificial, 26 (2023), 71; 142-152 doi:10.4114/intartif.vol26iss71pp142-152 (međunarodna recenzija, članak, znanstveni)
(University of Sfax, Tunisia) (University of Sfax, Tunisia) Dhouib, Souhail & Pezer, D. (2023) Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic. Inteligencia Artificial, 26 (71), 142-152 doi:10.4114/intartif.vol26iss71pp142-152.
@article{article, author = {Dhouib, Souhail and Pezer, Danijela}, year = {2023}, pages = {142-152}, DOI = {10.4114/intartif.vol26iss71pp142-152}, keywords = {Optimization, Metaheuristics, Computational Intelligence, Artificial intelligence, Drilling Path Sequence}, journal = {Inteligencia Artificial}, doi = {10.4114/intartif.vol26iss71pp142-152}, volume = {26}, number = {71}, issn = {1137-3601}, title = {Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic}, keyword = {Optimization, Metaheuristics, Computational Intelligence, Artificial intelligence, Drilling Path Sequence} }
@article{article, author = {Dhouib, Souhail and Pezer, Danijela}, year = {2023}, pages = {142-152}, DOI = {10.4114/intartif.vol26iss71pp142-152}, keywords = {Optimization, Metaheuristics, Computational Intelligence, Artificial intelligence, Drilling Path Sequence}, journal = {Inteligencia Artificial}, doi = {10.4114/intartif.vol26iss71pp142-152}, volume = {26}, number = {71}, issn = {1137-3601}, title = {Increasing the Performance of Computer Numerical Control Machine via the Dhouib-Matrix-4 Metaheuristic}, keyword = {Optimization, Metaheuristics, Computational Intelligence, Artificial intelligence, Drilling Path Sequence} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





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