| Energy-aware scheduling for improving manufacturing process sustainability: A mathematical model for flexible flow shops AAG Bruzzone, D Anghinolfi, M Paolucci, F Tonelli CIRP annals 61 (1), 459-462, 2012 | 407 | 2012 |
| A new discrete particle swarm optimization approach for the single-machine total weighted tardiness scheduling problem with sequence-dependent setup times D Anghinolfi, M Paolucci European Journal of Operational Research 193 (1), 73-85, 2009 | 192 | 2009 |
| Agent-based manufacturing and control systems: new agile manufacturing solutions for achieving peak performance M Paolucci, R Sacile Crc Press, 2004 | 174 | 2004 |
| Multi-objective optimization of solid waste flows: Environmentally sustainable strategies for municipalities R Minciardi, M Paolucci, M Robba, R Sacile Waste management 28 (11), 2202-2212, 2008 | 144 | 2008 |
| Parallel machine total tardiness scheduling with a new hybrid metaheuristic approach D Anghinolfi, M Paolucci Computers & Operations Research 34 (11), 3471-3490, 2007 | 128 | 2007 |
| A dynamic optimization model for solid waste recycling D Anghinolfi, M Paolucci, M Robba, AC Taramasso Waste management 33 (2), 287-296, 2013 | 120 | 2013 |
| Integrated lot sizing and energy-efficient job shop scheduling problem in manufacturing/remanufacturing systems D Giglio, M Paolucci, A Roshani Journal of cleaner production 148, 624-641, 2017 | 108 | 2017 |
| Stage I nonsmall cell lung carcinoma: analysis of survival and implications for screening L Dominioni, A Imperatori, F Rovera, A Ochetti, G Torrigiotti, M Paolucci Cancer 89 (S11), 2334-2344, 2000 | 90 | 2000 |
| A bi-objective heuristic approach for green identical parallel machine scheduling D Anghinolfi, M Paolucci, R Ronco European Journal of Operational Research 289 (2), 416-434, 2021 | 88 | 2021 |
| An experimental comparison of different heuristics for the master bay plan problem D Ambrosino, D Anghinolfi, M Paolucci, A Sciomachen International symposium on experimental algorithms, 314-325, 2010 | 88 | 2010 |
| Deep reinforcement learning for multi-objective placement of virtual machines in cloud datacenters L Caviglione, M Gaggero, M Paolucci, R Ronco Soft Computing 25 (19), 12569-12588, 2021 | 74 | 2021 |
| Optimal charging and routing of electric vehicles with power constraints and time-of-use energy prices G Ferro, M Paolucci, M Robba IEEE Transactions on Vehicular Technology 69 (12), 14436-14447, 2020 | 65 | 2020 |
| Computational evaluation of a MIP model for multi-port stowage planning problems D Ambrosino, M Paolucci, A Sciomachen Soft Computing 21 (7), 1753-1763, 2017 | 65 | 2017 |
| A new three-step heuristic for the master bay plan problem D Ambrosino, D Anghinolfi, M Paolucci, A Sciomachen Maritime Economics & Logistics 11 (1), 98-120, 2009 | 65 | 2009 |
| Experimental evaluation of mixed integer programming models for the multi-port master bay plan problem D Ambrosino, M Paolucci, A Sciomachen Flexible Services and Manufacturing Journal 27 (2), 263-284, 2015 | 64 | 2015 |
| A MIP heuristic for multi port stowage planning D Ambrosino, M Paolucci, A Sciomachen Transportation Research Procedia 10, 725-734, 2015 | 63 | 2015 |
| Freight transportation in railway networks with automated terminals: A mathematical model and MIP heuristic approaches D Anghinolfi, M Paolucci, S Sacone, S Siri European journal of operational research 214 (3), 588-594, 2011 | 61 | 2011 |
| A new ant colony optimization approach for the single machine total weighted tardiness scheduling problem D Anghinolfi, M Paolucci International Journal of Operations Research 5 (1), 1-17, 2008 | 61 | 2008 |
| A hybrid particle swarm optimization approach for the sequential ordering problem D Anghinolfi, R Montemanni, M Paolucci, LM Gambardella Computers & Operations Research 38 (7), 1076-1085, 2011 | 60 | 2011 |
| Multi-manned assembly line balancing problem with skilled workers: a new mathematical formulation D Giglio, M Paolucci, A Roshani, F Tonelli IFAC-PapersOnLine 50 (1), 1211-1216, 2017 | 49 | 2017 |
