3 citations · 4 across the 9 of their papers we have counts for
3 papers · 1 filter
Nonlinear Derivative-free Constrained Optimization with a Penalty-Interior Point Method and Direct Search
Andrea Brilli, Ana L. Custódio, Giampaolo Liuzzi +1
In this work, the joint use of a mixed penalty-interior point method and direct search is proposed, to address {nonlinear} constrained derivative-free optimization problems. A meri…
Combining Gradient Information and Primitive Directions for High-Performance Mixed-Integer Optimization
Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi +1
In this paper we consider bound-constrained mixed-integer optimization problems where the objective function is differentiable w.r.t.\ the continuous variables for every configurat…
A Globally Convergent Gradient Method with Momentum
Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi +2
In this work, we consider smooth unconstrained optimization problems and we deal with the class of gradient methods with momentum, i.e., descent algorithms where the search directi…