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 | 383 | 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 | 188 | 2009 |
Agent-based manufacturing and control systems: new agile manufacturing solutions for achieving peak performance M Paolucci, R Sacile Crc Press, 2004 | 167 | 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 | 139 | 2008 |
Parallel machine total tardiness scheduling with a new hybrid metaheuristic approach D Anghinolfi, M Paolucci Computers & Operations Research 34 (11), 3471-3490, 2007 | 129 | 2007 |
A dynamic optimization model for solid waste recycling D Anghinolfi, M Paolucci, M Robba, AC Taramasso Waste management 33 (2), 287-296, 2013 | 111 | 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 | 85 | 2017 |
An experimental comparison of different heuristics for the master bay plan problem D Ambrosino, D Anghinolfi, M Paolucci, A Sciomachen Experimental Algorithms: 9th International Symposium, SEA 2010, Ischia …, 2010 | 81 | 2010 |
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 | 64 | 2021 |
A new three-step heuristic for the master bay plan problem D Ambrosino, D Anghinolfi, M Paolucci, A Sciomachen Maritime Economics & Logistics 11, 98-120, 2009 | 61 | 2009 |
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 | 56 | 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 | 54 | 2011 |
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, 263-284, 2015 | 53 | 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 | 53 | 2011 |
Computational evaluation of a MIP model for multi-port stowage planning problems D Ambrosino, M Paolucci, A Sciomachen Soft Computing 21, 1753-1763, 2017 | 52 | 2017 |
A MIP heuristic for multi port stowage planning D Ambrosino, M Paolucci, A Sciomachen Transportation Research Procedia 10, 725-734, 2015 | 44 | 2015 |
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 | 43 | 2017 |
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 | 41 | 2021 |
Allocating crude oil supply to port and refinery tanks: a simulation-based decision support system M Paolucci, R Sacile, A Boccalatte Decision Support Systems 33 (1), 39-54, 2002 | 40 | 2002 |
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 | 39 | 2020 |