%0 Journal Article %1 journals/cor/AbbasiBHSD20 %A Abbasi, Babak %A Babaei, Toktam %A Hosseinifard, Seyedeh Zahra %A Smith-Miles, Kate %A Dehghani, Maryam %D 2020 %J Comput. Oper. Res. %K dblp %P 104941 %T Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management. %U http://dblp.uni-trier.de/db/journals/cor/cor119.html#AbbasiBHSD20 %V 119

@article{journals/cor/AbbasiBHSD20, added-at = {2022-01-03T00:00:00.000+0100}, author = {Abbasi, Babak and Babaei, Toktam and Hosseinifard, Seyedeh Zahra and Smith-Miles, Kate and Dehghani, Maryam}, biburl = {https://www.bibsonomy.org/bibtex/233a7e0d484771b89a79d46a69783a163/dblp}, ee = {https://doi.org/10.1016/j.cor.2020.104941}, interhash = {671aaf6877d4533b2c0d9848bdb91e65}, intrahash = {33a7e0d484771b89a79d46a69783a163}, journal = {Comput. Oper. Res.}, keywords = {dblp}, pages = 104941, timestamp = {2024-04-08T14:28:02.000+0200}, title = {Predicting solutions of large-scale optimization problems via machine learning: A case study in blood supply chain management.}, url = {http://dblp.uni-trier.de/db/journals/cor/cor119.html#AbbasiBHSD20}, volume = 119, year = 2020 }