Publications

David Van Bulck, Dries Goossens, Jan-Patrick Clarner, Angelos Dimitsas, , George H. G. Fonseca, Carlos Lamas-Fernandez, Martin Mariusz Lester, Jaap Pedersen, Antony E. Phillips, Roberto Maria Rosati (2023). Which algorithm to select in sports timetabling?. [submitted].

Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf (2023). Reinforcement learning for multi-neighborhood local search in combinatorial optimization. Machine Learning, Optimization, and Data Science. LOD 2023 (in press).

Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf (2023). Multi-Neighborhood Simulated Annealing for the Home Healthcare Routing and Scheduling Problem. [submitted].

Roberto Maria Rosati, Salim Bouamama, Christian Blum (2023). Multi-Constructor CMSA for the Maximum Disjoint Dominating Sets Problem. [submitted].

Roberto Maria Rosati, Salim Bouamama, Christian Blum (2023). Construct, Merge, Solve and Adapt Applied to the Maximum Disjoint Dominating Sets Problem. Metaheuristics: 14th International Conference, MIC 2022, Syracuse, Italy, July 11–14, 2022, Proceedings.

Cite Dataset Slides

Roberto Maria Rosati (2022). Reinforcement Learning for Multi-Neighborhood Metaheuristics. Doctoral Consortium papers of AIxIA 2021 - 21st International Conference of the Italian Association for Artificial Intelligence.

PDF Cite Poster

Roberto Maria Rosati, Matteo Petris, Luca Di Gaspero, Andrea Schaerf (2022). Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021. Journal of Scheduling.

PDF Cite Code Dataset Slides

Sara Ceschia, Luca Di Gaspero, Roberto Maria Rosati, Andrea Schaerf (2022). Multi-Neighborhood Simulated Annealing for the Minimum Interference Frequency Assignment Problem. EURO Journal on Computational Optimization.

Roberto Maria Rosati, Lucas Kletzander, Christian Blum, Nysret Musliu, Andrea Schaerf (2022). Construct, Merge, Solve and Adapt Applied to a Bus Driver Scheduling Problem with Complex Break Constraints. International Conference of the Italian Association for Artificial Intelligence.