4 citations · 7 across the 12 of their papers we have counts for
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An interior point method for nonlinear constrained derivative-free optimization
Andrea Brilli, Giampaolo Liuzzi, Stefano Lucidi
In this paper we consider constrained optimization problems where both the objective and constraint functions are of the black-box type. Furthermore, we assume that the nonlinear i…
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…
An augmented Lagrangian method exploiting an active-set strategy and second-order information
Andrea Cristofari, Gianni Di Pillo, Giampaolo Liuzzi +1
In this paper, we consider nonlinear optimization problems with nonlinear equality constraints and bound constraints on the variables. For the solution of such problems, many augme…