The track formulation for the Train Dispatching problem. - Leonardo Lamorgese; Carlo Mannino (Electron. Notes Discret. Math., 2013)

An Exact Decomposition Approach for the Real-Time Train Dispatching Problem. - Leonardo Lamorgese; Carlo Mannino (Oper. Res., 2015)

A New Modelling Approach Is Required to Help Mobile Network Operators Handle the Growing Demand for Data Traffic. - Leonardo Lamorgese; Tomas Eric Nordlander; Carlo Mannino (ICORES, 2016)

Recursive logic-based Benders' decomposition for multi-mode outpatient scheduling. - Atle Riise; Carlo Mannino; Leonardo Lamorgese (Eur. J. Oper. Res., 2016)

Optimal Train Dispatching by Benders'-Like Reformulation. - Leonardo Lamorgese; Carlo Mannino; Mauro Piacentini (Transp. Sci., 2016)

A Noncompact Formulation for Job-Shop Scheduling Problems in Traffic Management. - Leonardo Lamorgese; Carlo Mannino (Oper. Res., 2019)

Solving the single-track train scheduling problem via Deep Reinforcement Learning. - Valerio Agasucci; Giorgio Grani; Leonardo Lamorgese (CoRR, 2020)

The Tick Formulation for deadlock detection and avoidance in railways traffic control. - Veronica Dal Sasso; Leonardo Lamorgese; Carlo Mannino; Andrea Onofri; Paolo Ventura (J. Rail Transp. Plan. Manag., 2021)

Easy Cases of Deadlock Detection in Train Scheduling. - Veronica Dal Sasso; Leonardo Lamorgese; Carlo Mannino; Antonio Tancredi; Paolo Ventura (Oper. Res., 2022)

Disruption Management in Railway Systems by Safe Place Assignment. - Anna Livia Croella; Veronica Dal Sasso; Leonardo Lamorgese; Carlo Mannino; Paolo Ventura (Transp. Sci., 2022)

Solving the train dispatching problem via deep reinforcement learning. - Valerio Agasucci; Giorgio Grani; Leonardo Lamorgese (J. Rail Transp. Plan. Manag., 2023)