|
Al-Janan, D. H. and Liu, T. K. (2016), “Path optimization of CNC PCB drilling using hybrid Taguchi genetic algorithm,” Kybernetes, 45(1), 107-125. Ancău, M. (2009), “The processing time optimization of printed circuit board,” Circuit World, 35(3), 21-28. Dantzig, G., Fulkerson, R., and Johnson, S. (1954), “Solution of a large-scale traveling-salesman problem,” Journal of the operations research society of America, 2(4), 393-410. Dewil, R., Vansteenwegen, P., Cattrysse, D., Laguna, M. amd Vossen, T. (2015), “An improvement heuristic framework for the laser cutting tool path problem,” International Journal of Production Research, 53(6), 1761-1776. Dewil, R., Vansteenwegen, P. and Cattrysse, D. (2015), “Sheet metal laser cutting tool path generation: dealing with overlooked problem aspects,” Key Engineering Materials, 639, 517-524. Dewil, R., Vansteenwegen, P. and Cattrysse, D. (2016), “A review of cutting path algorithms for laser cutters,” The International Journal of Advanced Manufacturing Technology, 87, 1865-1884. G.B. Dantzig, D.R. Fulkerson and S.M. Johnson. (1954), “Solutions of large scale travelling salesman problem”, Oper. Res. 2, 393-410. Han, G. C. and Na, S. J. (1998), “Global torch path generation for 2-D laser cutting process using simulated annealing,” Intelligent Automation & Soft Computing, 4(2), 97-108. Hajad, M., Tangwarodomnukun, V., Jaturanonda, C. and Dumkum, C. (2019), “Laser cutting path optimization using simulated annealing with an adaptive large neighborhood search,” The International Journal of Advanced Manufacturing Technology, 103, 781-792. Hajad, M., Tangwarodomnukun, V., Jaturanonda, C., and Dumkum, C. (2019), ”Laser cutting path optimization with minimum heat accumulation,” The International Journal of Advanced Manufacturing Technology, 105, 2569-2579. Jünger, M., Reinelt, G. and Rinaldi, G. (1995), “The traveling salesman problem,” Handbooks in operations research and management science, 7, 225-330. Khatak, P. (2022), “Laser cutting technique: A literature review,” Materials today: proceedings, 56, 2484-2489. Langevin, A., Soumis, F. and amp; Desrosiers, J. (1990), “Classification of travelling salesman problem formulations.” Operations Research Letters, 9(2), 127-132. Leng, J., Ruan, G., Song, Y., Liu, Q., Fu, Y., Ding, K., and Chen, X. (2021), “A loosely-coupled deep reinforcement learning approach for order acceptance decision of 61 mass-individualized printed circuit board manufacturing in industry 4.0,” Journal of Cleaner Production, Vol. 280, No., pp. Lim, W. C. E., Kanagaraj, G. and Ponnambalam, S. G. (2014), “PCB drill path optimization by combinatorial cuckoo search algorithm,” The Scientific World Journal, 2014(1), 264518. Lo, T. M. and Young, J. S. (2014), ”Improvements of productivity for PCB drilling by laser driller machine,” International journal of precision engineering and manufacturing, 15, 1575-1581. Pop, P. C., Zaroliagis, C. D. and Hadjicharalambous, G. (2008), “A cutting plane approach to solve the railway traveling salesman problem,” Studia Universitatis Mathematica, 53(1), 63-72. Skinderowicz, R. (2022), “Improving Ant Colony Optimization efficiency for solving large TSP instances,” Applied Soft Computing, 120, 108653. Wang, G. G. and Xie, S. Q. (2005), “Optimal process planning for a combined punch-and-laser cutting machine using ant colony optimization,” International Journal of Production Research, 43(11), 2195-2216. Wang, Y. and Han, Z. (2021), “Ant colony optimization for traveling salesman problem based on parameters optimization,” Applied Soft Computing, 107, 107439. Woo, K. (2019), “Cycle Time Reduction of 5-axis Laser Drilling via Time-optimal Trajectory Generation and Sequence Optimization.” Zhong, T. X. and Chen, J. C. (2002), “A hybrid-coded genetic algorithm based optimisation of non-productive paths in CNC machining,” The International Journal of Advanced Manufacturing Technology, 20, 163-168.
|