Machine learning and optimization for production rescheduling in Industry 4.0 Y Li, S Carabelli, E Fadda, D Manerba, R Tadei, O Terzo The International Journal of Advanced Manufacturing Technology 110 (9), 2445 …, 2020 | 108 | 2020 |
Sustainable and de-stressed international supply-chains through the SYNCHRO-NET approach R Giusti, C Iorfida, Y Li, D Manerba, S Musso, G Perboli, R Tadei, S Yuan Sustainability 11 (4), 1083, 2019 | 67 | 2019 |
Reinforcement learning algorithms for online single-machine scheduling Y Li, E Fadda, D Manerba, R Tadei, O Terzo 2020 15th Conference on Computer Science and Information Systems (FedCSIS …, 2020 | 26 | 2020 |
Emerging optimization problems for distribution in same-day delivery Y Li, C Archetti, I Ljubic arXiv preprint arXiv:2405.05620, 2024 | 6 | 2024 |
Reinforcement learning approaches for the orienteering problem with stochastic and dynamic release dates Y Li, C Archetti, I Ljubić Transportation Science 58 (5), 1143-1165, 2024 | 2 | 2024 |