A Truncated Newton Method for the Solution of Large-Scale Inequality Constrained Minimization Problems. - Francisco Facchinei; Giampaolo Liuzzi; Stefano Lucidi (Comput. Optim. Appl., 2003)

An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints. - Gianni Di Pillo; Giampaolo Liuzzi; Stefano Lucidi; Laura Palagi (Comput. Optim. Appl., 2003)

A magnetic resonance device designed via global optimization techniques. - Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli; Antonello Sotgiu (Math. Program., 2004)

Design of induction motors using a mixed-variable approach. - Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli; Marco Villani 002 (Comput. Manag. Sci., 2005)

A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems. - Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (SIAM J. Optim., 2006)

A derivative-free algorithm for systems of nonlinear inequalities. - Giampaolo Liuzzi; Stefano Lucidi (Optim. Lett., 2008)

A Derivative-Free Algorithm for Inequality Constrained Nonlinear Programming via Smoothing of an linfty Penalty Function. - Giampaolo Liuzzi; Stefano Lucidi (SIAM J. Optim., 2009)

A global optimization algorithm for protein surface alignment. - Paola Bertolazzi; Concettina Guerra; Giampaolo Liuzzi (BMC Bioinform., 2010)

A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems. - Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli (Comput. Optim. Appl., 2010)

A truncated Newton method in an augmented Lagrangian framework for nonlinear programming. - Gianni Di Pillo; Giampaolo Liuzzi; Stefano Lucidi; Laura Palagi (Comput. Optim. Appl., 2010)

A partition-based global optimization algorithm. - Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli (J. Glob. Optim., 2010)

Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization. - Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (SIAM J. Optim., 2010)

A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics. - Daniela di Serafino; Giampaolo Liuzzi; Veronica Piccialli; Filippo Riccio; Gerardo Toraldo (J. Optim. Theory Appl., 2011)

On the convergence of a Jacobi-type algorithm for singly linearly-constrained problems subject to simple bounds. - Giampaolo Liuzzi; Laura Palagi; Mauro Piacentini (Optim. Lett., 2011)

Derivative-free methods for bound constrained mixed-integer optimization. - Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (Comput. Optim. Appl., 2012)

A decomposition algorithm for unconstrained optimization problems with partial derivative information. - Giampaolo Liuzzi; A. Risi (Optim. Lett., 2012)

A concave optimization-based approach for sparse portfolio selection. - David Di Lorenzo; Giampaolo Liuzzi; Francesco Rinaldi; Fabio Schoen; Marco Sciandrone (Optim. Methods Softw., 2012)

A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization. - Giovanni Fasano; Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (SIAM J. Optim., 2014)

On the use of iterative methods in cubic regularization for unconstrained optimization. - Tommaso Bianconcini; Giampaolo Liuzzi; Benedetta Morini; Marco Sciandrone (Comput. Optim. Appl., 2015)

A filling function method for unconstrained global optimization. - Francesco Lampariello; Giampaolo Liuzzi (Comput. Optim. Appl., 2015)

Derivative-Free Robust Optimization for Circuit Design. - Angelo Ciccazzo; Vittorio Latorre; Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (J. Optim. Theory Appl., 2015)

Global Optimization of Protein-peptide Docking by a Filling Function Method. - Francesco Lampariello; Giampaolo Liuzzi (J. Optim. Theory Appl., 2015)

Derivative-Free Methods for Mixed-Integer Constrained Optimization Problems. - Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (J. Optim. Theory Appl., 2015)

Solving ℓ0-penalized problems with simple constraints via the Frank-Wolfe reduced dimension method. - Giampaolo Liuzzi; Francesco Rinaldi (Optim. Lett., 2015)

Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization. - Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli (Comput. Optim. Appl., 2016)

A DIRECT-type approach for derivative-free constrained global optimization. - Gianni Di Pillo; Giampaolo Liuzzi; Stefano Lucidi; Veronica Piccialli; Francesco Rinaldi (Comput. Optim. Appl., 2016)

A nonmonotone GRASP. - Marianna De Santis; Paola Festa; Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (Math. Program. Comput., 2016)

A Derivative-Free Approach to Constrained Multiobjective Nonsmooth Optimization. - Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (SIAM J. Optim., 2016)

Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch. - Riccardo Pellegrini; Andrea Serani; Giampaolo Liuzzi; Francesco Rinaldi; Stefano Lucidi; Emilio Fortunato Campana; Umberto Iemma; Matteo Diez (MOD, 2017)

A multi-objective DIRECT algorithm for ship hull optimization. - Emilio Fortunato Campana; Matteo Diez; Giampaolo Liuzzi; Stefano Lucidi; Riccardo Pellegrini; Veronica Piccialli; Francesco Rinaldi; Andrea Serani (Comput. Optim. Appl., 2018)

An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints. - Guido Cocchi; Giampaolo Liuzzi; Anthony Papini; Marco Sciandrone (Comput. Optim. Appl., 2018)

A new branch-and-bound algorithm for standard quadratic programming problems. - Giampaolo Liuzzi; Marco Locatelli 001; Veronica Piccialli (Optim. Methods Softw., 2019)

Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions. - Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi; Luís Nunes Vicente (SIAM J. Optim., 2019)

On the convergence of steepest descent methods for multiobjective optimization. - Guido Cocchi; Giampaolo Liuzzi; Stefano Lucidi; Marco Sciandrone (Comput. Optim. Appl., 2020)

An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables. - Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (Math. Program. Comput., 2020)

A concave optimization-based approach for sparse multiobjective programming. - Guido Cocchi; Tommaso Levato; Giampaolo Liuzzi; Marco Sciandrone (Optim. Lett., 2020)

Computing mixed strategies equilibria in presence of switching costs by the solution of nonconvex QP problems. - Giampaolo Liuzzi; Marco Locatelli 001; Veronica Piccialli; Stefan Rass (Comput. Optim. Appl., 2021)

Improving P300 Speller performance by means of optimization and machine learning. - Luigi Bianchi; Chiara Liti; Giampaolo Liuzzi; Veronica Piccialli; Cecilia Salvatore (Ann. Oper. Res., 2022)

Derivative-free methods for mixed-integer nonsmooth constrained optimization. - Tommaso Giovannelli; Giampaolo Liuzzi; Stefano Lucidi; Francesco Rinaldi (Comput. Optim. Appl., 2022)

Convergence under Lipschitz smoothness of ease-controlled Random Reshuffling gradient Algorithms. - Giampaolo Liuzzi; Laura Palagi; Ruggiero Seccia (CoRR, 2022)

An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information. - Andrea Cristofari; Gianni Di Pillo; Giampaolo Liuzzi; Stefano Lucidi (J. Optim. Theory Appl., 2022)

A computational study on QP problems with general linear constraints. - Giampaolo Liuzzi; Marco Locatelli 001; Veronica Piccialli (Optim. Lett., 2022)

A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization. - Manlio Gaudioso; Giampaolo Liuzzi; Stefano Lucidi (Optim. Lett., 2024)

Worst Case Complexity Bounds for Linesearch-Type Derivative-Free Algorithms. - Andrea Brilli; Morteza Kimiaei; Giampaolo Liuzzi; Stefano Lucidi (J. Optim. Theory Appl., 2024)

An interior point method for nonlinear constrained derivative-free optimization. - Andrea Brilli; Giampaolo Liuzzi; Stefano Lucidi (Optim. Methods Softw., 2025)

Convergence of ease-controlled random reshuffling gradient algorithms under Lipschitz smoothness. - Ruggiero Seccia; Corrado Coppola; Giampaolo Liuzzi; Laura Palagi (Comput. Optim. Appl., 2025)