Giampaolo Liuzzi
Orcid: 0000-0002-4063-8370
According to our database1,
Giampaolo Liuzzi
authored at least 44 papers
between 2003 and 2024.
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Bibliography
2024
J. Optim. Theory Appl., October, 2024
A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization.
Optim. Lett., January, 2024
2022
Optim. Lett., 2022
An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information.
J. Optim. Theory Appl., 2022
Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms.
CoRR, 2022
Comput. Optim. Appl., 2022
Ann. Oper. Res., 2022
2021
Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems.
Comput. Optim. Appl., 2021
2020
Optim. Lett., 2020
An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables.
Math. Program. Comput., 2020
Comput. Optim. Appl., 2020
2019
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions.
SIAM J. Optim., 2019
Optim. Methods Softw., 2019
2018
An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints.
Comput. Optim. Appl., 2018
Comput. Optim. Appl., 2018
2017
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch.
Proceedings of the Machine Learning, Optimization, and Big Data, 2017
2016
SIAM J. Optim., 2016
Comput. Optim. Appl., 2016
Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization.
Comput. Optim. Appl., 2016
2015
Solving ℓ<sub>0</sub>-penalized problems with simple constraints via the Frank-Wolfe reduced dimension method.
Optim. Lett., 2015
J. Optim. Theory Appl., 2015
J. Optim. Theory Appl., 2015
Comput. Optim. Appl., 2015
On the use of iterative methods in cubic regularization for unconstrained optimization.
Comput. Optim. Appl., 2015
2014
SIAM J. Optim., 2014
2012
Optim. Methods Softw., 2012
A decomposition algorithm for unconstrained optimization problems with partial derivative information.
Optim. Lett., 2012
Comput. Optim. Appl., 2012
2011
On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds.
Optim. Lett., 2011
J. Optim. Theory Appl., 2011
2010
SIAM J. Optim., 2010
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming.
Comput. Optim. Appl., 2010
A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems.
Comput. Optim. Appl., 2010
2009
A Derivative-Free Algorithm for Inequality Constrained Nonlinear Programming via Smoothing of an l<sub>infty</sub> Penalty Function.
SIAM J. Optim., 2009
2008
Optim. Lett., 2008
2006
SIAM J. Optim., 2006
2005
Comput. Manag. Sci., 2005
2004
Math. Program., 2004
2003
An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints.
Comput. Optim. Appl., 2003
A Truncated Newton Method for the Solution of Large-Scale Inequality Constrained Minimization Problems.
Comput. Optim. Appl., 2003