PENGRAV: a practical polynomial time algorithm for optimizing the engraving path of an automatic engraving machine using a 3/2 approximation algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00170-022-10148-9.pdf
Reference22 articles.
1. Dong G, Zhang X, Cui G (2011) Application of genetic algorithm on optimization of engraving paths. In: 2011 International Conference on Multimedia Technology (IEEE) pp. 4850–4853
2. Oysu C, Bingul Z (2009) Application of heuristic and hybrid-gasa algorithms to tool-path optimization problem for minimizing airtime during machining. Eng Appl Artif Intell 22(3):389–396
3. Wu Z, Wu J, Zhao M, Feng L, Liu K (2020) Two-layered ant colony system to improve engraving robot’s efficiency based on a large-scale tsp model. Neural Comput Appl pp 1–11
4. Eapen NA, Heckendorn RB (2021) Cutting path optimization for an automatic cutter in polynomial time using a 3/2 approximation algorithm. Int J Adv Manuf Technol 113(11):3667–3679
5. Rodrigues AM, Ferreira JS (2012) Cutting path as a rural postman problem: solutions by memetic algorithms. International Journal of Combinatorial Optimization Problems and Informatics (IJCOPI) 3(1):31–46
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