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2020 – today
- 2024
[j80]Andrea Cristofari, Marianna De Santis
, Stefano Lucidi:
On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization. J. Optim. Theory Appl. 203(1): 126-145 (2024)- [j79]Andrea Brilli, Morteza Kimiaei, Giampaolo Liuzzi, Stefano Lucidi:
Worst Case Complexity Bounds for Linesearch-Type Derivative-Free Algorithms. J. Optim. Theory Appl. 203(1): 419-454 (2024) - [j78]Manlio Gaudioso, Giampaolo Liuzzi, Stefano Lucidi:
A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization. Optim. Lett. 18(1): 57-71 (2024) - 2023
- [j77]Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma:
A two-objective optimization of ship itineraries for a cruise company. 4OR 21(4): 683-709 (2023) - [j76]Alberto De Santis, Tommaso Giovannelli, Stefano Lucidi, Mauro Messedaglia, Massimo Roma:
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department. Ann. Oper. Res. 320(2): 727-756 (2023) - 2022
- [j75]Tommaso Giovannelli, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
Derivative-free methods for mixed-integer nonsmooth constrained optimization. Comput. Optim. Appl. 82(2): 293-327 (2022) - [j74]Andrea Cristofari, Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
Minimization over the ℓ 1-ball using an active-set non-monotone projected gradient. Comput. Optim. Appl. 83(2): 693-721 (2022) - [j73]Stefano Lucidi, Mauro Passacantando, Francesco Rinaldi:
Solving non-monotone equilibrium problems via a DIRECT-type approach. J. Glob. Optim. 83(4): 699-725 (2022) - [j72]Andrea Cristofari, Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi:
An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information. J. Optim. Theory Appl. 193(1): 300-323 (2022) - [j71]Marco Boresta, Tommaso Colombo, Alberto De Santis, Stefano Lucidi:
A Mixed Finite Differences Scheme for Gradient Approximation. J. Optim. Theory Appl. 194(1): 1-24 (2022) - 2021
- [j70]Giulio Galvan, Marco Sciandrone, Stefano Lucidi:
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints. Comput. Optim. Appl. 80(1): 33-53 (2021) - [j69]Alberto De Santis, Umberto Dellepiane, Stefano Lucidi, Stefania Renzi:
A derivative-free optimization approach for the autotuning of a Forex trading strategy. Optim. Lett. 15(5): 1649-1664 (2021) - [j68]Gianni Di Pillo, Marcello Fabiano, Stefano Lucidi, Massimo Roma:
Cruise itineraries optimal scheduling. Optim. Lett. 15(5): 1665-1689 (2021) - 2020
- [j67]Guido Cocchi, Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone:
On the convergence of steepest descent methods for multiobjective optimization. Comput. Optim. Appl. 77(1): 1-27 (2020) - [j66]Andrea Cristofari, Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
An active-set algorithmic framework for non-convex optimization problems over the simplex. Comput. Optim. Appl. 77(1): 57-89 (2020) - [j65]Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables. Math. Program. Comput. 12(4): 673-702 (2020)
2010 – 2019
- 2019
- [j64]Andrea Cristofari, Tayebeh Dehghan Niri, Stefano Lucidi:
On global minimizers of quadratic functions with cubic regularization. Optim. Lett. 13(6): 1269-1283 (2019) - [j63]Vittorio Latorre, Husni M. Habal, Helmut Graeb, Stefano Lucidi:
Derivative free methodologies for circuit worst case analysis. Optim. Lett. 13(7): 1557-1571 (2019) - [j62]Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi, Luís Nunes Vicente:
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions. SIAM J. Optim. 29(4): 3012-3035 (2019) - 2018
- [j61]Emilio Fortunato Campana, Matteo Diez, Giampaolo Liuzzi, Stefano Lucidi, Riccardo Pellegrini, Veronica Piccialli, Francesco Rinaldi, Andrea Serani:
A multi-objective DIRECT algorithm for ship hull optimization. Comput. Optim. Appl. 71(1): 53-72 (2018) - 2017
- [j60]Andrea Cristofari, Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
A Two-Stage Active-Set Algorithm for Bound-Constrained Optimization. J. Optim. Theory Appl. 172(2): 369-401 (2017) - [c4]Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio Fortunato Campana, Umberto Iemma, Matteo Diez:
Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch. MOD 2017: 198-209 - 2016
- [j59]Gianni Di Pillo, Vittorio Latorre, Stefano Lucidi, Enrico Procacci:
An application of support vector machines to sales forecasting under promotions. 4OR 14(3): 309-325 (2016) - [j58]Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli, Francesco Rinaldi:
A DIRECT-type approach for derivative-free constrained global optimization. Comput. Optim. Appl. 65(2): 361-397 (2016) - [j57]Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli:
Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization. Comput. Optim. Appl. 65(2): 449-475 (2016) - [j56]Marianna De Santis, Paola Festa, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
A nonmonotone GRASP. Math. Program. Comput. 8(3): 271-309 (2016) - [j55]Stefano Lucidi, Massimo Maurici, Luca Paulon, Francesco Rinaldi, Massimo Roma:
A derivative-free approach for a simulation-based optimization problem in healthcare. Optim. Lett. 10(2): 219-235 (2016) - [j54]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
A Fast Active Set Block Coordinate Descent Algorithm for ℓ1-Regularized Least Squares. SIAM J. Optim. 26(1): 781-809 (2016) - [j53]Christoph Buchheim, Marianna De Santis, Stefano Lucidi, Francesco Rinaldi, Long Trieu:
A Feasible Active Set Method with Reoptimization for Convex Quadratic Mixed-Integer Programming. SIAM J. Optim. 26(3): 1695-1714 (2016) - [j52]Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
A Derivative-Free Approach to Constrained Multiobjective Nonsmooth Optimization. SIAM J. Optim. 26(4): 2744-2774 (2016) - [j51]Stefano Lucidi, Massimo Maurici, Luca Paulon, Francesco Rinaldi, Massimo Roma:
A Simulation-Based Multiobjective Optimization Approach for Health Care Service Management. IEEE Trans Autom. Sci. Eng. 13(4): 1480-1491 (2016) - 2015
- [j50]Angelo Ciccazzo, Vittorio Latorre, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
Derivative-Free Robust Optimization for Circuit Design. J. Optim. Theory Appl. 164(3): 842-861 (2015) - [j49]Gianni Di Pillo, Stefano Lucidi, Francesco Rinaldi:
A Derivative-Free Algorithm for Constrained Global Optimization Based on Exact Penalty Functions. J. Optim. Theory Appl. 164(3): 862-882 (2015) - [j48]Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
Derivative-Free Methods for Mixed-Integer Constrained Optimization Problems. J. Optim. Theory Appl. 164(3): 933-965 (2015) - 2014
- [j47]Marianna De Santis, Francesco Rinaldi, Emmanuela Falcone, Stefano Lucidi, Giulia Piaggio, Aymone Gurtner, Lorenzo Farina:
Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genes. Bioinform. 30(2): 228-233 (2014) - [j46]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
Feasibility Pump-like heuristics for mixed integer problems. Discret. Appl. Math. 165: 152-167 (2014) - [j45]Giovanni Fasano, Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization. SIAM J. Optim. 24(3): 959-992 (2014) - [i1]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
A Fast Active Set Block Coordinate Descent Algorithm for ℓ1-regularized least squares. CoRR abs/1403.1738 (2014) - 2013
- [j44]Stefano Lucidi, Francesco Rinaldi:
An exact penalty global optimization approach for mixed-integer programming problems. Optim. Lett. 7(2): 297-307 (2013) - [j43]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
A New Class of Functions for Measuring Solution Integrality in the Feasibility Pump Approach. SIAM J. Optim. 23(3): 1575-1606 (2013) - 2012
- [j42]Marianna De Santis, Gianni Di Pillo, Stefano Lucidi:
An active set feasible method for large-scale minimization problems with bound constraints. Comput. Optim. Appl. 53(2): 395-423 (2012) - [j41]Giampaolo Liuzzi, Stefano Lucidi, Francesco Rinaldi:
Derivative-free methods for bound constrained mixed-integer optimization. Comput. Optim. Appl. 53(2): 505-526 (2012) - [j40]Gianni Di Pillo, Stefano Lucidi, Francesco Rinaldi:
An approach to constrained global optimization based on exact penalty functions. J. Glob. Optim. 54(2): 251-260 (2012) - [j39]Francesco Parasiliti Collazzo, Marco Villani, Stefano Lucidi, Francesco Rinaldi:
Finite-Element-Based Multiobjective Design Optimization Procedure of Interior Permanent Magnet Synchronous Motors for Wide Constant-Power Region Operation. IEEE Trans. Ind. Electron. 59(6): 2503-2514 (2012) - 2011
- [c3]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
A New Feasibility Pump-Like Heuristic for Mixed Integer Problems. CTW 2011: 138-141 - [c2]Marianna De Santis, Stefano Lucidi, Francesco Rinaldi:
Continuous Reformulations for Zero-one Programming Problems. CTW 2011: 142-145 - 2010
- [j38]Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi:
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming. Comput. Optim. Appl. 45(2): 311-352 (2010) - [j37]Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli:
A DIRECT-based approach exploiting local minimizations for the solution of large-scale global optimization problems. Comput. Optim. Appl. 45(2): 353-375 (2010) - [j36]Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli:
A partition-based global optimization algorithm. J. Glob. Optim. 48(1): 113-128 (2010) - [j35]Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone:
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization. SIAM J. Optim. 20(5): 2614-2635 (2010)
2000 – 2009
- 2009
- [j34]Giovanni Fasano, Stefano Lucidi:
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization. Optim. Lett. 3(4): 521-535 (2009) - [j33]Giampaolo Liuzzi, Stefano Lucidi:
A Derivative-Free Algorithm for Inequality Constrained Nonlinear Programming via Smoothing of an linfty Penalty Function. SIAM J. Optim. 20(1): 1-29 (2009) - [j32]Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone:
A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE Trans. Neural Networks 20(6): 1055-1060 (2009) - 2008
- [j31]Giampaolo Liuzzi, Stefano Lucidi:
A derivative-free algorithm for systems of nonlinear inequalities. Optim. Lett. 2(4): 521-534 (2008) - 2007
- [j30]Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone:
A convergent decomposition algorithm for support vector machines. Comput. Optim. Appl. 38(2): 217-234 (2007) - 2006
- [j29]Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone:
A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems. SIAM J. Optim. 16(4): 1054-1075 (2006) - 2005
- [j28]Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli, Marco Villani:
Design of induction motors using a mixed-variable approach. Comput. Manag. Sci. 2(3): 213-228 (2005) - [j27]Gianni Di Pillo, Stefano Lucidi, Laura Palagi:
Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming. Math. Oper. Res. 30(4): 897-915 (2005) - [j26]Luigi Grippo, Stefano Lucidi:
Convergence conditions, line search algorithms and trust region implementations for the Polak-Ribière conjugate gradient method. Optim. Methods Softw. 20(1): 71-98 (2005) - [j25]Stefano Lucidi, Veronica Piccialli, Marco Sciandrone:
An Algorithm Model for Mixed Variable Programming. SIAM J. Optim. 15(4): 1057-1084 (2005) - 2004
- [j24]Giampaolo Liuzzi, Stefano Lucidi, Veronica Piccialli, Antonello Sotgiu:
A magnetic resonance device designed via global optimization techniques. Math. Program. 101(2): 339-364 (2004) - [j23]Stefano Lucidi, Veronica Piccialli:
A derivative-based algorithm for a particular class of mixed variable optimization problems. Optim. Methods Softw. 19(3-4): 371-387 (2004) - 2003
- [j22]Gianni Di Pillo, Giampaolo Liuzzi, Stefano Lucidi, Laura Palagi:
An Exact Augmented Lagrangian Function for Nonlinear Programming with Two-Sided Constraints. Comput. Optim. Appl. 25(1-3): 57-83 (2003) - [j21]Francisco Facchinei, Giampaolo Liuzzi, Stefano Lucidi:
A Truncated Newton Method for the Solution of Large-Scale Inequality Constrained Minimization Problems. Comput. Optim. Appl. 25(1-3): 85-122 (2003) - 2002
- [j20]Stefano Lucidi, Marco Sciandrone:
A Derivative-Free Algorithm for Bound Constrained Optimization. Comput. Optim. Appl. 21(2): 119-142 (2002) - [j19]Stefano Lucidi, Veronica Piccialli:
New Classes of Globally Convexized Filled Functions for Global Optimization. J. Glob. Optim. 24(2): 219-236 (2002) - [j18]Stefano Lucidi, Marco Sciandrone, Paul Tseng:
Objective-derivative-free methods for constrained optimization. Math. Program. 92(1): 37-59 (2002) - [j17]Gianni Di Pillo, Stefano Lucidi:
An Augmented Lagrangian Function with Improved Exactness Properties. SIAM J. Optim. 12(2): 376-406 (2002) - [j16]Francisco Facchinei, Stefano Lucidi, Laura Palagi:
A Truncated Newton Algorithm for Large Scale Box Constrained Optimization. SIAM J. Optim. 12(4): 1100-1125 (2002) - [j15]Stefano Lucidi, Marco Sciandrone:
On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization. SIAM J. Optim. 13(1): 97-116 (2002)
1990 – 1999
- 1999
- [j14]Gianni Di Pillo, Stefano Lucidi, Laura Palagi:
A Shifted-Barrier Primal-Dual Algorithm Model for Linearly Constrained Optimization Problems. Comput. Optim. Appl. 12(1-3): 157-188 (1999) - [j13]Nicholas I. M. Gould, Stefano Lucidi, Massimo Roma, Philippe L. Toint:
Solving the Trust-Region Subproblem using the Lanczos Method. SIAM J. Optim. 9(2): 504-525 (1999) - [j12]A. Ciancimino, G. Inzerillo, Stefano Lucidi, Laura Palagi:
A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem. Transp. Sci. 33(2): 168-181 (1999) - 1998
- [j11]Francisco Facchinei, Stefano Lucidi:
Convergence to Second Order Stationary Points in Inequality Constrained Optimization. Math. Oper. Res. 23(3): 746-766 (1998) - [j10]Stefano Lucidi, Laura Palagi, Massimo Roma:
On Some Properties of Quadratic Programs with a Convex Quadratic Constraint. SIAM J. Optim. 8(1): 105-122 (1998) - [j9]Stefano Lucidi, Francesco Rochetich, Massimo Roma:
Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization. SIAM J. Optim. 8(4): 916-939 (1998) - 1997
- [j8]Stefano Lucidi, Massimo Roma:
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization. Comput. Optim. Appl. 7(1): 71-87 (1997) - [j7]P. Brachetti, M. De Felice Ciccoli, Gianni Di Pillo, Stefano Lucidi:
A New Version of the Price's Algorithm for Global Optimization. J. Glob. Optim. 10(2): 165-184 (1997) - [j6]Luigi Grippo, Stefano Lucidi:
A globally convergent version of the Polak-Ribière conjugate gradient method. Math. Program. 77: 375-391 (1997) - 1996
- [j5]Michael C. Ferris, Stefano Lucidi, Massimo Roma:
Nonmonotone curvilinear line search methods for unconstrained optimization. Comput. Optim. Appl. 6(2): 117-136 (1996) - 1994
- [j4]Stefano Lucidi:
On the role of continuously differentiable exact penalty functions in constrained global optimization. J. Glob. Optim. 5(1): 49-68 (1994) - 1993
- [j3]Gianni Di Pillo, Luigi Grippo, Stefano Lucidi:
A smooth method for the finite minimax problem. Math. Program. 60: 187-214 (1993) - [j2]G. Contaldi, Gianni Di Pillo, Stefano Lucidi:
A continuously differentiable exact penalty function for nonlinear programming problems with unbounded feasible set. Oper. Res. Lett. 14(3): 153-161 (1993) - [c1]Stefano Lucidi, Massimo Roma:
Nonmonotone conjugate gradient methods for optimization. System Modelling and Optimization 1993: 206-214 - 1992
- [j1]Stefano Lucidi:
New Results on a Continuously Differentiable Exact Penalty Function. SIAM J. Optim. 2(4): 558-574 (1992)
Coauthor Index
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