Stefano Lucidi
Orcid: 0000-0003-4356-7958
According to our database1,
Stefano Lucidi
authored at least 84 papers
between 1992 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on zbmath.org
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on orcid.org
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on d-nb.info
On csauthors.net:
Bibliography
2024
On Necessary Optimality Conditions for Sets of Points in Multiobjective Optimization.
J. Optim. Theory Appl., October, 2024
J. Optim. Theory Appl., October, 2024
A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization.
Optim. Lett., January, 2024
2023
4OR, December, 2023
A simulation-based optimization approach for the calibration of a discrete event simulation model of an emergency department.
Ann. Oper. Res., 2023
2022
An Augmented Lagrangian Method Exploiting an Active-Set Strategy and Second-Order Information.
J. Optim. Theory Appl., 2022
J. Optim. Theory Appl., 2022
J. Glob. Optim., 2022
Comput. Optim. Appl., 2022
Minimization over the ℓ <sub>1</sub>-ball using an active-set non-monotone projected gradient.
Comput. Optim. Appl., 2022
2021
A derivative-free optimization approach for the autotuning of a Forex trading strategy.
Optim. Lett., 2021
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints.
Comput. Optim. Appl., 2021
2020
An algorithmic framework based on primitive directions and nonmonotone line searches for black-box optimization problems with integer variables.
Math. Program. Comput., 2020
An active-set algorithmic framework for non-convex optimization problems over the simplex.
Comput. Optim. Appl., 2020
Comput. Optim. Appl., 2020
2019
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions.
SIAM J. Optim., 2019
Optim. Lett., 2019
2018
Comput. Optim. Appl., 2018
2017
J. Optim. Theory Appl., 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
A Simulation-Based Multiobjective Optimization Approach for Health Care Service Management.
IEEE Trans Autom. Sci. Eng., 2016
A Fast Active Set Block Coordinate Descent Algorithm for ℓ<sub>1</sub>-Regularized Least Squares.
SIAM J. Optim., 2016
SIAM J. Optim., 2016
A Feasible Active Set Method with Reoptimization for Convex Quadratic Mixed-Integer Programming.
SIAM J. Optim., 2016
A derivative-free approach for a simulation-based optimization problem in healthcare.
Optim. Lett., 2016
Comput. Optim. Appl., 2016
Exploiting derivative-free local searches in DIRECT-type algorithms for global optimization.
Comput. Optim. Appl., 2016
4OR, 2016
2015
A Derivative-Free Algorithm for Constrained Global Optimization Based on Exact Penalty Functions.
J. Optim. Theory Appl., 2015
J. Optim. Theory Appl., 2015
2014
SIAM J. Optim., 2014
Discret. Appl. Math., 2014
Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genes.
Bioinform., 2014
2013
A New Class of Functions for Measuring Solution Integrality in the Feasibility Pump Approach.
SIAM J. Optim., 2013
An exact penalty global optimization approach for mixed-integer programming problems.
Optim. Lett., 2013
2012
Finite-Element-Based Multiobjective Design Optimization Procedure of Interior Permanent Magnet Synchronous Motors for Wide Constant-Power Region Operation.
IEEE Trans. Ind. Electron., 2012
J. Glob. Optim., 2012
An active set feasible method for large-scale minimization problems with bound constraints.
Comput. Optim. Appl., 2012
Comput. Optim. Appl., 2012
2011
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 2011
Proceedings of the 10th Cologne-Twente Workshop on graphs and combinatorial optimization. Extended Abstracts, 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
IEEE Trans. Neural Networks, 2009
A Derivative-Free Algorithm for Inequality Constrained Nonlinear Programming via Smoothing of an l<sub>infty</sub> Penalty Function.
SIAM J. Optim., 2009
A nonmonotone truncated Newton-Krylov method exploiting negative curvature directions, for large scale unconstrained optimization.
Optim. Lett., 2009
2008
Optim. Lett., 2008
2007
Comput. Optim. Appl., 2007
2006
SIAM J. Optim., 2006
2005
Convergence conditions, line search algorithms and trust region implementations for the Polak-Ribière conjugate gradient method.
Optim. Methods Softw., 2005
Convergence to Second-Order Stationary Points of a Primal-Dual Algorithm Model for Nonlinear Programming.
Math. Oper. Res., 2005
Comput. Manag. Sci., 2005
2004
A derivative-based algorithm for a particular class of mixed variable optimization problems.
Optim. Methods Softw., 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
2002
SIAM J. Optim., 2002
SIAM J. Optim., 2002
SIAM J. Optim., 2002
J. Glob. Optim., 2002
Comput. Optim. Appl., 2002
1999
A Mathematical Programming Approach for the Solution of the Railway Yield Management Problem.
Transp. Sci., 1999
A Shifted-Barrier Primal-Dual Algorithm Model for Linearly Constrained Optimization Problems.
Comput. Optim. Appl., 1999
1998
Curvilinear Stabilization Techniques for Truncated Newton Methods in Large Scale Unconstrained Optimization.
SIAM J. Optim., 1998
SIAM J. Optim., 1998
Convergence to Second Order Stationary Points in Inequality Constrained Optimization.
Math. Oper. Res., 1998
1997
Math. Program., 1997
J. Glob. Optim., 1997
Numerical Experiences with New Truncated Newton Methods in Large Scale Unconstrained Optimization.
Comput. Optim. Appl., 1997
1996
Comput. Optim. Appl., 1996
1994
On the role of continuously differentiable exact penalty functions in constrained global optimization.
J. Glob. Optim., 1994
1993
A continuously differentiable exact penalty function for nonlinear programming problems with unbounded feasible set.
Oper. Res. Lett., 1993
Proceedings of the System Modelling and Optimization: Proceedings of the 16th IFIP-TC7 Conference, 1993
1992
SIAM J. Optim., 1992