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Springer Nature Switzerland
Reference20 articles.
1. Aggarwal, C.C. (ed.): Data Classification: Algorithms and Applications. No. 35 in Chapman & Hall/CRC Data Mining and Knowledge Discovery Series. CRC Press/Chapman & Hall, Boca Raton (2014)
2. Bressan, G.M., Pimenta-Zanon, M., Sakuray, F.: Heuristic methods for minimizing cut bars and using leftovers from the one-dimensional cutting process. Adv. Math. Sci. Appl. 31(2), 407–433 (2022)
3. Bressan, G.M., da Silva, E.B., Pimenta-Zanon, M.H., da Silva Lizzi, E.A.: Classification of leftovers from the stock cutting process. In: Optimization, Learning Algorithms and Applications: Second International Conference, OL2A 2022, Póvoa de Varzim, Portugal, 24–25 October 2022, Proceedings, pp. 327–341. Springer, Heidelberg (2023). https://doi.org/10.1007/978-3-031-23236-7_23
4. Campello, B., Ghidini, C., Ayres, A., Oliveira, W.: A residual recombination heuristic for one-dimensional cutting stock problems. TOP 30(1), 194–220 (2022)
5. Cerqueira, G.R.L., Aguiar, S.S., Marques, M.: Modified Greedy Heuristic for the one-dimensional cutting stock problem. J. Comb. Optim. 42(3), 657–674 (2021)