A New ILP Formulation for the Multi-Day Container Drayage Problem. - Maria Pia Fanti; Alberto Locatelli; Gabriella Stecco; Walter Ukovich (SMC, 2019)

Scheduling of Parallel Print Machines with Sequence-Dependent Setup Costs: A Real-World Case Study. - Manuel Iori; Alberto Locatelli; Marco Locatelli 001 (APMS (2), 2021)

Tool Switching Problems in the Context of Overlay Printing with Multiple Colours. - Manuel Iori; Alberto Locatelli; Marco Locatelli 001; Juan José Salazar González (ISCO, 2022)

Knapsack problems - An overview of recent advances. Part I: Single knapsack problems. - Valentina Cacchiani; Manuel Iori; Alberto Locatelli; Silvano Martello (Comput. Oper. Res., 2022)

Knapsack problems - An overview of recent advances. Part II: Multiple, multidimensional, and quadratic knapsack problems. - Valentina Cacchiani; Manuel Iori; Alberto Locatelli; Silvano Martello (Comput. Oper. Res., 2022)

Setup Time Prediction Using Machine Learning Algorithms: A Real-World Case Study. - Alberto Locatelli; Manuel Iori; Marco Lippi 001; Marco Locatelli 001 (APMS (3), 2023)

A GRASP for a real-world scheduling problem with unrelated parallel print machines and sequence-dependent setup times. - Manuel Iori; Alberto Locatelli; Marco Locatelli 001 (Int. J. Prod. Res., 2023)

Optimization methods for knapsack and tool switching problems. - Alberto Locatelli (4OR, 2023)

Tool switching problems with tool order constraints. - Manuel Iori; Alberto Locatelli; Marco Locatelli 001; Juan José Salazar González (Discret. Appl. Math., 2024)

Solving the Cubic Knapsack Problem using the Quantum-Inspired Digital Annealer Technology. - Thiago Alves de Queiroz; Manuel Iori; Alberto Locatelli; Matthieu Parizy (GECCO, 2025)

Online motion accuracy compensation of industrial servomechanisms using machine learning approaches. - Pietro Bilancia; Alberto Locatelli; Alessio Tutarini; Mirko Mucciarini; Manuel Iori; Marcello Pellicciari (Robotics Comput. Integr. Manuf., 2025)