MAO group - Models and Algorithms for Optimization

Dept. of Information Engineering                                                                      University of Brescia





Contacts

Dip. di Ingegneria dell'Informazione
Universita' degli Studi di Brescia
via Branze, 38
25123, Brescia
Italy

Telephone:
+39 030 371 5448
+39 030 371 5935
+39 030 371 5757


Since 2007, MAO is the Operational Reserch group working at the Department of Information Engineering of the University of Brescia, Italy. It is part of the inter-departmental group OR@BRESCIA (University of Brescia, Italy).
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2022

  • Li Y., Fadda E., Manerba D., Roohnavazfar M., Tadei R., Terzo O. (2022). Online Single-Machine Scheduling via Reinforcement Learning. In: S. Fidanova (Ed.), Recent Advances in Computational Optimization. WCO 2020. Studies in Computational Intelligence, vol. 986. Springer, Cham.  >> View at publisher

  • 2021

  • Roohnavazfar M., Manerba D., Fotio Tiotsop L., Pasandideh S. H. R., Tadei R (2021). Stochastic single machine scheduling problem as a multi-stage dynamic random decision process. Computational Management Science 18(3), 267-297.  >> View at publisher

  • 2020

  • Mansini R., Zanotti R. (2020). Optimizing the physician scheduling problem in a large hospital ward. Journal of Scheduling 23 (3), pp. 337–361.  >> View at publisher
  • Li Y., Carabelli S., Fadda E., Manerba D., Tadei R., Terzo O. (2020). Machine Learning and Optimization for Production Rescheduling in Industry 4.0. International Journal of Advanced Manufacturing Technology 110, 2445-2463.  >> View at publisher
  • Li Y., Fadda E., Manerba D., Tadei R., Terzo O. (2020) Reinforcement Learning Algorithms for Online Single-Machine Scheduling. Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, FedCSIS 2020, pp. 277–283, 9222933.  >> View at publisher

  • 2019

  • Gobbi A., Manerba D., Mansini R., Zanotti R. (2019). A Kernel Search for a patient satisfaction-oriented nurse routing problem with time-windows. IFAC-PapersOnLine 52(13), pp. 1669-1674.   >> View at publisher
  • Roohnavazfar M., Manerba D., De Martin J.C., Tadei R. (2019). Optimal paths in multi-stage stochastic decision networks. Operations Research Perspectives 6: number 100124.  >> View at publisher

  • 2018

  • Pasetti M., Rinaldi S., Manerba D. (2018). A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers. Applied Sciences 8 (3), 432.  >> View at publisher

  • 2015

  • Manerba D. (2015). Optimization models and algorithms for problems in Procurement Logistics. 4OR - A Quarterly Journal of Operations Research 13(3). pp. 339-340.  >> View at publisher

  • 2004

  • Mansini R., Speranza M.G., Tuza Z. (2004). Scheduling groups of tasks with precedence constraints on three dedicated processors. Discrete Applied Mathematics 134, pp. 141-168.