Giampaolo Liuzzi
Giampaolo Liuzzi Giampaolo Liuzzi
Research Associate
Primo Ricercatore

Dipartimento di Ingegneria Informatica Automatica e Gestionale Antonio Ruberti - Universita'  di Roma "La Sapienza"
Via Ariosto, 25
00185 Roma - Italia

Personal web page: http://www.iasi.cnr.it/~liuzzi

Research interests

Nonlinear programming, continuous optimization, global optimization, derivative-free methods for constrained and unconstrained optimization, applications of operations research

papers on google scholar


Research groups

Selected publications
  • Bianchi L., Liti C., Giampaolo Liuzzi, Piccialli V., Salvatore C.: Improving P300 Speller performance by means of optimization and machine learning, Annals of Operations Research, 2020
  • Cocchi G., Levato T., Giampaolo Liuzzi, Sciandrone M.: A concave optimization-based approach for sparse multiobjective programming, Optimization Letters 14(3), 535-556, 2020
  • Cocchi G., Giampaolo Liuzzi, Lucidi S., Sciandrone M.: On the convergence of steepest descent methods for multiobjective optimization, Computational Optimization and Applications 77(1), 1-27, 2020
  • Giampaolo Liuzzi, Lucidi S., Rinaldi F.: An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables, Mathematical Programming Computation, 2020
  • Pellegrini R., Serani A., Giampaolo Liuzzi, Rinaldi F., Lucidi S., Diez M.: Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches, Mathematics 8, 546-565, 2020
  • Giampaolo Liuzzi, Locatelli M., Piccialli V.: A new branch-and-bound algorithm for standard quadratic programming problems, Optimization Methods & Software 34(1), 79-97, 2019
  • Giampaolo Liuzzi, Lucidi S., Rinaldi F., Vicente L.N.: Trust-region methods for the derivative-free optimization of nonsmooth black-box functions, SIAM Journal on Optimization 29(4), 3012-3035, 2019
  • Campana E.F., Diez M., Giampaolo Liuzzi, Lucidi S., Pellegrini R., Piccialli V., Rinaldi F., Serani A.: A Multi-objective DIRECT algorithm for ship hull optimization, Computational Optimization and Applications 71(1), 53-72, 2018
  • Cocchi G., Giampaolo Liuzzi, Papini A., Sciandrone M.: An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints, Computational Optimization and Applications 69(2), 267-296, 2018
  • Giampaolo Liuzzi, Truemper K.: Parallelized hybrid optimization methods for nonsmooth problems using NOMAD and linesearch, Computational and Applied Mathematics 37(3), 3172-3207, 2018
  • Campana E.F., Diez M., Iemma U., Giampaolo Liuzzi, Lucidi S., Rinaldi F., Serani A.: Derivative-free global ship design optimization using global/local hybridization of the DIRECT algorithm, Optimization and Engineering 17(1), 127-156, 2016
  • De Santis M., Festa P., Giampaolo Liuzzi, Lucidi S., Rinaldi F.: A nonmonotone GRASP, Mathematical Programming Computation 8(3), 271-309, 2016
  • Di Pillo G., Giampaolo Liuzzi, Lucidi S., Piccialli V., Rinaldi F.: A DIRECT-type approach for derivative-free constrained global optimization, Computational Optimization and Applications 65(2), 361-397, 2016
  • Giampaolo Liuzzi, Lucidi S., Piccialli V.: Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization, Computational Optimization and Applications 65(2), 449-475, 2016
  • Giampaolo Liuzzi, Lucidi S., Rinaldi F.: A derivative-free approach to constrained multiobjective nonsmooth optimization, SIAM Journal on Optimization 26(4), 2744-2774, 2016
  • Serani A., Fasano G., Giampaolo Liuzzi, Lucidi S., Iemma U., Campana E.F., Stern F., Diez M.: Ship hydrodynamic optimization by local hybridization of deterministic derivative-free global algorithms, Applied Ocean Research 59, 115-128, 2016
  • Bianconcini T., Giampaolo Liuzzi, Morini B., Marco Sciandrone: On the use of iterative methods in cubic regularization for unconstrained optimization, Computational Optimization and Applications 60(1), 35-57, 2015
  • Casolino G.M., Giampaolo Liuzzi, Losi A.: Combined cycle unit commitment in a changing electricity market scenario, International Journal of Electrical Power & Energy Systems 73, 114-123, 2015
  • Ciccazzo A, Latorre V, Giampaolo Liuzzi, Lucidi S., Rinaldi F.: Derivative-Free Robust Optimization for Circuit Design, Journal of Optimization Theory and Applications 164(3), 842-861, 2015
  • Lampariello F., Giampaolo Liuzzi: A filling function method for unconstrained global optimization, Computational Optimization and Applications 61(3), 713-729, 2015
  • Lampariello F., Giampaolo Liuzzi: Global Optimization of Protein-peptide Docking by a Filling Function Method, Journal of Optimization Theory and Applications 164(3), 1090-1108, 2015
  • Giampaolo Liuzzi, Lucidi S., Rinaldi F.: Derivative-free Methods for Mixed-Integer Constrained Optimization Problems, Journal of Optimization Theory and Applications 164(3), 933-965, 2015
  • Giampaolo Liuzzi, Rinaldi F.: Solving l0-penalized problems with simple constraints via the Frank-Wolfe Reduced Dimension method, Optimization Letters 9, 57-74, 2015
  • Paola Bertolazzi, Guerra C., Giampaolo Liuzzi: Predicting protein-ligand and protein-peptide interfaces, European Physical Journal Plus 129, 132-142, 2014
  • Fasano G., Giampaolo Liuzzi, Lucidi S., Rinaldi F.: A Linesearch-based Derivative-free Approach for Nonsmooth Constrained Optimization, SIAM Journal on Optimization 24, 959-992, 2014
  • Paola Bertolazzi, Guerra C., Lampariello F., Giampaolo Liuzzi: Continuous global optimization for protein structure analysis, Il Nuovo Cimento 35C, 65-70, 2012
  • Di Lorenzo D., Giampaolo Liuzzi, Rinaldi F., Schoen F., Marco Sciandrone: A concave optimization-based approach for sparse portfolio selection, Optimization Methods & Software 27, 983-1000, 2012
  • Giampaolo Liuzzi, Lucidi S., Rinaldi F.: Derivative-free methods for bound constrained mixed-integer optimization, Computational Optimization and Applications 53, 505-526, 2012
  • Giampaolo Liuzzi, Risi A.: A decomposition algorithm for unconstrained optimization problems with partial derivative information, Optimization Letters 6, 437-450, 2012
  • Di Pillo G., Giampaolo Liuzzi, Lucidi S.: A primal-dual algorithm for nonlinear programming exploiting negative curvature directions, Numerical Algebra, Control and Optimization 1, 509-528, 2011
  • Di Pillo G., Giampaolo Liuzzi, Lucidi S.: An Exact Penalty-Lagrangian Approach for Large-Scale Nonlinear Programming, Optimization 60, 223-252, 2011
  • Di Serafino D., Giampaolo Liuzzi, Piccialli V., Riccio F., Toraldo G.: A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics, Journal of Optimization Theory and Applications 151, 175-190, 2011
  • Giampaolo Liuzzi, Palagi L., Piacentini M.: On the convergence of a Jacobi-type algorithm for Singly Linearly-Constrained Problems Subject to simple Bounds, Optimization Letters 5, 347-362, 2011
  • Paola Bertolazzi, Guerra C., Giampaolo Liuzzi: A global optimization algorithm for protein surface alignment, BMC Bioinformatics 11, 488-498, 2010
  • Casolino G.M., Giampaolo Liuzzi, Losi A.: Unit commitment in oligopolistic markets by nonlinear mixed variable programming, Optimization and Engineering 11, 213-245, 2010
  • Di Pillo G., Giampaolo Liuzzi, Lucidi S., Palagi L.: A truncated Newton method in an augmented Lagrangian framework for nonlinear programming, Computational Optimization and Applications 45, 311-352, 2010
  • Giampaolo Liuzzi, Lucidi S., Piccialli V.: A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems, Computational Optimization and Applications 45, 353-375, 2010
  • Giampaolo Liuzzi, Lucidi S., Piccialli V.: A partition-based global optimization algorithm, Journal of Global Optimization 48, 113-128, 2010
  • Giampaolo Liuzzi, Lucidi S., Marco Sciandrone: Sequential penalty derivative-free methods for nonlinear constrained optimization, SIAM Journal on Optimization 20, 2614-2635, 2010
  • Campana E.F., Giampaolo Liuzzi, Lucidi S., Peri D., Piccialli V., Pinto A.: New Global Optimization methods for Ship design problems, Optimization and Engineering 10, 533-555, 2009
  • Giampaolo Liuzzi, Lucidi S.: A derivative-free algorithm for inequality constrained nonlinear programming via smoothing of an l_infty penalty function, SIAM Journal on Optimization 20, 1-29, 2009
  • Iacoviello D., Giampaolo Liuzzi: Fixed/free final time SIR epidemic models with multiple controls, International Journal of Simulation Modelling 7, 81-92, 2008
  • Giampaolo Liuzzi, Lucidi S.: A derivative-free algorithm for systems of nonlinear inequalities, Optimization Letters 2, 521-534, 2008
  • Giampaolo Liuzzi, Lucidi S., Marco Sciandrone: A derivative-free algorithm for linearly constrained finite minimax problems, SIAM Journal on Optimization 16, 1054-1075, 2006
  • Giampaolo Liuzzi, Lucidi S., Piccialli V., Villani M.: Design of Induction Motors Using a Mixed-Variable Approach, Computational Management Science 2, 213-228, 2005
  • Giampaolo Liuzzi, Lucidi S., Piccialli V., Sotgiu A.: A magnetic resonance device designed via global optimization techniques, Mathematical Programming 101, 339-364, 2004
  • Di Pillo G., Giampaolo Liuzzi, Lucidi S., Palagi L.: An exact augmented Lagrangian function for nonlinear programming with two-sided constraints, Computational Optimization and Applications 25, 57-83, 2003
  • Facchinei F., Giampaolo Liuzzi, Lucidi S.: A Truncated Newton Method for the Solution of Large-Scale Inequality Constrained Minimization Problems, Computational Optimization and Applications 25, 85-122, 2003
  • Giampaolo Liuzzi, Lucidi S., Parasiliti F., Villani M.: Multi-objective Optimization Techniques for the Design of Induction Motors, IEEE Transactions on Magnetics 39, 1261-1264, 2003
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