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math.OC2024
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…
math.OC2024★ 3 cited
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…