5 papers
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…
Improving P300 Speller performance by means of optimization and machine learning
Luigi Bianchi, Chiara Liti, Giampaolo Liuzzi +2
Brain-Computer Interfaces (BCIs) are systems allowing people to interact with the environment bypassing the natural neuromuscular and hormonal outputs of the peripheral nervous sys…
Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems
Giampaolo Liuzzi, Marco Locatelli, Veronica Piccialli +1
In this paper we address game theory problems arising in the context of network security. In traditional game theory problems, given a defender and an attacker, one searches for mi…