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20212026
most citedEffect of different patient peak arrivals on an Emergency Department via discrete event simulation

2 citations · 4 across the 11 of their papers we have counts for

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7 papers · 1 filter

math.OC2026

Stochastic set-valued optimization and its application to robust learning

Tommaso Giovannelli, Jingfu Tan, Luis Nunes Vicente

In this paper, we develop a stochastic set-valued optimization (SVO) framework tailored for robust machine learning. In the SVO setting, each decision variable is mapped to a set o…

math.OC2025

A stochastic gradient method for trilevel optimization

Tommaso Giovannelli, Griffin Dean Kent, Luis Nunes Vicente

With the success that the field of bilevel optimization has seen in recent years, similar methodologies have started being applied to solving more difficult applications that arise…

math.OC2025

Pareto sensitivity, most-changing sub-fronts, and knee solutions

Tommaso Giovannelli, Marcos Medeiros Raimundo, Luis Nunes Vicente

When dealing with a multi-objective optimization problem, obtaining a comprehensive representation of the set of Pareto optimal solutions can be computationally expensive. However,…

math.OC2022

An integrated assignment, routing, and speed model for roadway mobility and transportation with environmental, efficiency, and service goals

Tommaso Giovannelli, Luis Nunes Vicente

Managing all the mobility and transportation services with autonomous vehicles for users of a smart city requires determining the assignment of the vehicles to the users and their…

math.OC2021

Derivative-free methods for mixed-integer nonsmooth constrained optimization

Tommaso Giovannelli, Giampaolo Liuzzi, Stefano Lucidi +1

In this paper, we consider mixed-integer nonsmooth constrained optimization problems whose objective/constraint functions are available only as the output of a black-box zeroth-ord…

math.OC2021

A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department

A. De Santis, T. Giovannelli, S. Lucidi +2

Accurate modeling of the patient flow within an Emergency Department (ED) is required by all studies dealing with the increasing and well-known problem of overcrowding. Since Discr…