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 | 391 | 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 | 189 | 2009 |
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 | 113 | 2013 |
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 | 73 | 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 | 58 | 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 | 56 | 2011 |
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 | 54 | 2011 |
Facing energy-aware scheduling: a multi-objective extension of a scheduling support system for improving energy efficiency in a moulding industry M Paolucci, D Anghinolfi, F Tonelli Soft Computing 21, 3687-3698, 2017 | 37 | 2017 |
On the problem of the automated design of large-scale robot skin D Anghinolfi, G Cannata, F Mastrogiovanni, C Nattero, M Paolucci IEEE Transactions on Automation Science and Engineering 10 (4), 1087-1100, 2013 | 32 | 2013 |
Production planning of mixed-model assembly lines: a heuristic mixed integer programming based approach F Tonelli, M Paolucci, D Anghinolfi, P Taticchi Production Planning & Control 24 (1), 110-127, 2013 | 32 | 2013 |
A comparative analysis of solution algorithms for nonlinear freeway traffic control problems C Pasquale, D Anghinolfi, S Sacone, S Siri, M Papageorgiou 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 30 | 2016 |
Performance evaluation of an adaptive ant colony optimization applied to single machine scheduling D Anghinolfi, A Boccalatte, M Paolucci, C Vecchiola Simulated Evolution and Learning: 7th International Conference, SEAL 2008 …, 2008 | 25 | 2008 |
A stochastic linear programming approach for service parts optimization P Lonardo, D Anghinolfi, M Paolucci, F Tonelli CIRP annals 57 (1), 441-444, 2008 | 24 | 2008 |
A matheuristic algorithm for a large-scale energy management problem D Anghinolfi, LM Gambardella, R Montemanni, C Nattero, M Paolucci, ... Large-Scale Scientific Computing: 8th International Conference, LSSC 2011 …, 2012 | 21 | 2012 |
Psychoacoustic optimization of the spacing of propellers, helicopter rotors, and axial fans D Anghinolfi, E Canepa, A Cattanei, M Paolucci Journal of Propulsion and Power 32 (6), 1422-1432, 2016 | 17 | 2016 |
Optimal planning of door-to-door multiple materials separated waste collection D Anghinolfi, M Paolucci, M Robba IEEE Transactions on Automation Science and Engineering 13 (4), 1448-1457, 2016 | 15 | 2016 |
A general purpose Lagrangian heuristic applied to the train loading problem D Anghinolfi, M Paolucci Procedia-Social and Behavioral Sciences 108, 37-46, 2014 | 14 | 2014 |