Giorgio Zucchi

11 papers A 1C 2Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2025 C conf
A Real-World Multi-Depot, Multi-Period, and Multi-Trip Vehicle Routing Problem with Time Windows.
ICORES
Mirko Cavecchia, Thiago Alves de Queiroz, Riccardo Lancellotti, Giorgio Zucchi, Manuel Iori
2025 J jnl
Design and development of optimization methods to support decisions in distributed logistics systems.
4OR
Giorgio Zucchi
2024 J jnl
An Optimization-Based Decision Support System for Multi-trip Vehicle Routing Problems.
SN Comput. Sci.
Mirko Cavecchia, Thiago Alves de Queiroz, Manuel Iori, Riccardo Lancellotti, Giorgio Zucchi
2024 J jnl
An iterated local search for a multi-period orienteering problem arising in a car patrolling application.
Networks
Victor Hugo Vidigal Corrêa, Hang Dong, Manuel Iori, André Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi
2024 — conf
Explainable Machine Learning for Alarm Prediction.
ICEIS (1)
Kalleb M. M. Abreu, Julio C. S. Reis, André Gustavo dos Santos, Giorgio Zucchi
2024 A conf
Optimizing a Car Patrolling Application by Iterated Local Search.
GECCO
Victor Hugo Vidigal Corrêa, Thiago Alves de Queiroz, Manuel Iori, André Gustavo dos Santos, Mutsunori Yagiura, Giorgio Zucchi
2023 — conf
A Decision Support System for Multi-Trip Vehicle Routing Problems.
ICEIS (1)
Mirko Cavecchia, Thiago Alves de Queiroz, Manuel Iori, Riccardo Lancellotti, Giorgio Zucchi
2022 C conf
A Metaheuristic Algorithm for a Multi-period Orienteering Problem arising in a Car Patrolling Application.
INOC
Giorgio Zucchi, Victor H. V. Corrêa, André G. Santos, Manuel Iori, Mutsunori Yagiura
2021 — conf
An Integrated Task and Personnel Scheduling Problem to Optimize Distributed Services in Hospitals.
ICEIS (1)
Nícolas P. Campana, Giorgio Zucchi, Manuel Iori, Carlo Alberto Magni, Anand Subramanian
2021 — conf
Lead Time Forecasting with Machine Learning Techniques for a Pharmaceutical Supply Chain.
ICEIS (1)
Maiza Biazon de Oliveira, Giorgio Zucchi, Marco Lippi, Douglas Farias Cordeiro, Núbia Rosa da Silva, Manuel Iori
2021 J jnl
Personnel scheduling during Covid-19 pandemic.
Optim. Lett.
Giorgio Zucchi, Manuel Iori, Anand Subramanian