5 citations · 7 across the 7 of their papers we have counts for
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A derivative-free approach to mixed integer constrained multiobjective nonsmooth optimization
Giampaolo Liuzzi, Stefano Lucidi
In this work, we consider multiobjective optimization problems with both bound constraints on the variables and general nonlinear constraints, where objective and constraint functi…
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…
Avoiding local minima in multilayer network optimization by incremental training
Alberto De Santis, Giampaolo Liuzzi, Stefano Lucidi +1
Training a large multilayer neural network can present many difficulties due to the large number of useless stationary points. These points usually attract the minimization algorit…
Mixed Finite Differences Scheme for Gradient Approximation
Marco Boresta, Tommaso Colombo, Alberto De Santis +1
In this paper we focus on the linear functionals defining an approximate version of the gradient of a function. These functionals are often used when dealing with optimization prob…
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…
Determining the optimal piecewise constant approximation for the Nonhomogeneous Poisson Process rate of Emergency Department patient arrivals
A. De Santis, T. Giovannelli, S. Lucidi +2
Modeling the arrival process to an Emergency Department (ED) is the first step of all studies dealing with the patient flow within the ED. Many of them focus on the increasing phen…