Planning of Drilling Sequence Using the Swarm Intelligence Method (CROSBI ID 647083)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pezer, Danijela
engleski
Planning of Drilling Sequence Using the Swarm Intelligence Method
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.
Ant Colony Optimization, genetic algorithm, CAM software, drilling
The paper was presented and awarded as the best paper among Ph.D. students
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Podaci o prilogu
0000
2017.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017
Predrag Ćosić
Zagreb: Croatian Association for PLM (CAPLM)
1848-9591
Podaci o skupu
9th International Scientific Conference Management of Technology - Step to Sustainable Production, MOTSP2017
predavanje
05.04.2017-07.04.2017
Dubrovnik, Hrvatska