An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems
O. Shahvari, R. Logendran, M. Tavana, Journal of Scheduling 25 (2022) 589–621.
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Journal Article
| Published
| English
Author
Shahvari, Omid;
Logendran, Rasaratnam;
Tavana, MadjidLibreCat
Publishing Year
Journal Title
Journal of Scheduling
Volume
25
Issue
5
Page
589-621
LibreCat-ID
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Shahvari O, Logendran R, Tavana M. An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems. Journal of Scheduling. 2022;25(5):589-621. doi:10.1007/s10951-022-00729-7
Shahvari, O., Logendran, R., & Tavana, M. (2022). An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems. Journal of Scheduling, 25(5), 589–621. https://doi.org/10.1007/s10951-022-00729-7
@article{Shahvari_Logendran_Tavana_2022, title={An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems}, volume={25}, DOI={10.1007/s10951-022-00729-7}, number={5}, journal={Journal of Scheduling}, publisher={Springer Science and Business Media LLC}, author={Shahvari, Omid and Logendran, Rasaratnam and Tavana, Madjid}, year={2022}, pages={589–621} }
Shahvari, Omid, Rasaratnam Logendran, and Madjid Tavana. “An Efficient Model-Based Branch-and-Price Algorithm for Unrelated-Parallel Machine Batching and Scheduling Problems.” Journal of Scheduling 25, no. 5 (2022): 589–621. https://doi.org/10.1007/s10951-022-00729-7.
O. Shahvari, R. Logendran, and M. Tavana, “An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems,” Journal of Scheduling, vol. 25, no. 5, pp. 589–621, 2022, doi: 10.1007/s10951-022-00729-7.
Shahvari, Omid, et al. “An Efficient Model-Based Branch-and-Price Algorithm for Unrelated-Parallel Machine Batching and Scheduling Problems.” Journal of Scheduling, vol. 25, no. 5, Springer Science and Business Media LLC, 2022, pp. 589–621, doi:10.1007/s10951-022-00729-7.
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