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Pregled bibliografske jedinice broj: 872335

Planning of Drilling Sequence Using the Swarm Intelligence Method


Pezer, Danijela
Planning of Drilling Sequence Using the Swarm Intelligence Method // Proceedings of 9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017 / Predrag Ćosić (ur.).
Zagreb: Croatian Association for PLM, 2017. 0000, 8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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Naslov
Planning of Drilling Sequence Using the Swarm Intelligence Method

Autori
Pezer, Danijela

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017 / Predrag Ćosić - Zagreb : Croatian Association for PLM, 2017

Skup
9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017

Mjesto i datum
Dubrovnik, Croatia, 5-7.04.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Ant Colony Optimization, genetic algorithm, CAM software, drilling

Sažetak
In the introduction of this paper the Traveling Salesman Problem was described and a brief review of the literature with regard to the applicability of the proposed method in practice, for various production problems, was given. Ant Colony Optimization (ACO), and the genetic algorithm (GA) methods used for optimization are explained giving the basic algorithm structure. Furthermore, the basic mathematical background was given, as well as the proposed ACO algorithm with the application for the given problem – tool path optimization in case of sequence of hole drilling. According to the steps, the implementation of the proposed ACO algorithm realized in the MATLAB program was also described. In the last chapter, the results achieved with the proposed ACO algorithm, in comparison with the results achieved by the genetic algorithm, and the selected CAM software, were given.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

Napomena
The paper was presented and awarded as the
best paper among Ph.D. students



POVEZANOST RADA


Ustanove:
Strojarski fakultet, Slavonski Brod

Profili:

Avatar Url Danijela Pezer (autor)

Citiraj ovu publikaciju

Pezer, Danijela
Planning of Drilling Sequence Using the Swarm Intelligence Method // Proceedings of 9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017 / Predrag Ćosić (ur.).
Zagreb: Croatian Association for PLM, 2017. 0000, 8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pezer, D. (2017) Planning of Drilling Sequence Using the Swarm Intelligence Method. U: Predrag Ćosić (ur.)Proceedings of 9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017.
@article{article, author = {Pezer, D.}, year = {2017}, pages = {8}, chapter = {0000}, keywords = {Ant Colony Optimization, genetic algorithm, CAM software, drilling}, title = {Planning of Drilling Sequence Using the Swarm Intelligence Method}, keyword = {Ant Colony Optimization, genetic algorithm, CAM software, drilling}, publisher = {Croatian Association for PLM}, publisherplace = {Dubrovnik, Croatia}, chapternumber = {0000} }
@article{article, author = {Pezer, D.}, year = {2017}, pages = {8}, chapter = {0000}, keywords = {Ant Colony Optimization, genetic algorithm, CAM software, drilling}, title = {Planning of Drilling Sequence Using the Swarm Intelligence Method}, keyword = {Ant Colony Optimization, genetic algorithm, CAM software, drilling}, publisher = {Croatian Association for PLM}, publisherplace = {Dubrovnik, Croatia}, chapternumber = {0000} }




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