| Efficient Encoding of the Weighted MAX -CUT on a Quantum Computer Using QAOA FG Fuchs, HØ Kolden, NH Aase, G Sartor SN Computer Science 2 (2), 89, 2021 | 68 | 2021 |
| Constraint preserving mixers for the quantum approximate optimization algorithm FG Fuchs, KO Lye, H Møll Nilsen, AJ Stasik, G Sartor Algorithms 15 (6), 202, 2022 | 47 | 2022 |
| Air traffic flow management with layered workload constraints C Mannino, A Nakkerud, G Sartor Computers & operations research 127, 105159, 2021 | 31 | 2021 |
| MIP‐and‐refine matheuristic for smart grid energy management M Fischetti, G Sartor, A Zanette International Transactions in Operational Research 22 (1), 49-59, 2015 | 27 | 2015 |
| A MILP model for quasi-periodic strategic train timetabling G Sartor, C Mannino, T Nygreen, L Bach Omega 116, 102798, 2023 | 21 | 2023 |
| An exact algorithm for robust influence maximization G Nannicini, G Sartor, E Traversi, R Wolfler Calvo Mathematical Programming 183 (1), 419-453, 2020 | 20 | 2020 |
| Inventory management under storage and order restrictions S Sharma, H Abouee‐Mehrizi, G Sartor Production and Operations Management 29 (1), 101-117, 2020 | 19 | 2020 |
| Feasibility Jump: an LP-free Lagrangian MIP heuristic B Luteberget, G Sartor Mathematical Programming Computation 15 (2), 365-388, 2023 | 10 | 2023 |
| Optimal scheduling of smart home appliances using mixed-integer linear programming G Sartor | 9 | 2012 |
| The path&cycle formulation for the hotspot problem in air traffic management G Sartor, C Mannino 18th Workshop on Algorithmic Approaches for Transportation Modelling …, 2018 | 8 | 2018 |
| MILP models for the selection of a small set of well-distributed points C D'Ambrosio, G Nannicini, G Sartor Operations Research Letters 45 (1), 46-52, 2017 | 6 | 2017 |
| An optimization-based decision support tool for incremental train timetabling O Kloster, B Luteberget, C Mannino, G Sartor Operations Research Forum 4 (3), 65, 2023 | 4 | 2023 |
| Constrained mixers for QAOA FG Fuchs, KO Lye, HM Nilsen, AJ Stasik, G Sartor arXiv preprint arXiv:2203.06095, 2022 | 3 | 2022 |
| MILP approaches to practical real-time train scheduling: the Iron Ore Line case. L Bach, C Mannino, G Sartor INOC, 78-82, 2019 | 3 | 2019 |
| Hotspot resolution with sliding window capacity constraints using the Path&Cycle algorithm C Mannino, A Nakkerud, G Sartor, P Schittekat | 3 | 2018 |
| An exact (re) optimization framework for real-time traffic management C Mannino, G Sartor optim. Online, 2020 | 2 | 2020 |
| A Weighted Maximum Matching Algorithm for Influence Maximization and Structural Controllability G Sartor, YK Chia, L Wynter, J Ruths IFAC-PapersOnLine 50 (1), 14447-14453, 2017 | 2 | 2017 |
| Combinatorial learning in traffic management G Sartor, C Mannino, L Bach Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 1 | 2019 |
| Large-scale Constrained Black-box Optimization: Theory, Methodology, and Applications G Sartor Singapore University of Technology and Design, 2017 | 1 | 2017 |
| 50 years of OR in railway timetabling and rolling stock planning PJC Duarte, S Dauzère-Pérès, D Huisman, C Mannino, G Sartor, N Weik, ... EURO Journal on Transportation and Logistics, 100155, 2025 | | 2025 |
Carlo ManninoSintef ICT, University of OsloVerified email at dis.uniroma1.it
