Giampaolo Liuzzi

Orcid: 0000-0002-4063-8370

According to our database1, Giampaolo Liuzzi authored at least 44 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Worst Case Complexity Bounds for Linesearch-Type Derivative-Free Algorithms.
J. Optim. Theory Appl., October, 2024

A clustering heuristic to improve a derivative-free algorithm for nonsmooth optimization.
Optim. Lett., January, 2024

2022
A computational study on QP problems with general linear constraints.
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

Derivative-free methods for mixed-integer nonsmooth constrained optimization.
Comput. Optim. Appl., 2022

Improving P300 Speller performance by means of optimization and machine learning.
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
A concave optimization-based approach for sparse multiobjective programming.
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

On the convergence of steepest descent methods for multiobjective optimization.
Comput. Optim. Appl., 2020

2019
Trust-Region Methods for the Derivative-Free Optimization of Nonsmooth Black-Box Functions.
SIAM J. Optim., 2019

A new branch-and-bound algorithm for standard quadratic programming problems.
Optim. Methods Softw., 2019

2018
An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints.
Comput. Optim. Appl., 2018

A multi-objective DIRECT algorithm for ship hull optimization.
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
A Derivative-Free Approach to Constrained Multiobjective Nonsmooth Optimization.
SIAM J. Optim., 2016

A nonmonotone GRASP.
Math. Program. Comput., 2016

A DIRECT-type approach for derivative-free constrained global optimization.
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

Derivative-Free Methods for Mixed-Integer Constrained Optimization Problems.
J. Optim. Theory Appl., 2015

Global Optimization of Protein-peptide Docking by a Filling Function Method.
J. Optim. Theory Appl., 2015

Derivative-Free Robust Optimization for Circuit Design.
J. Optim. Theory Appl., 2015

A filling function method for unconstrained global optimization.
Comput. Optim. Appl., 2015

On the use of iterative methods in cubic regularization for unconstrained optimization.
Comput. Optim. Appl., 2015

2014
A Linesearch-Based Derivative-Free Approach for Nonsmooth Constrained Optimization.
SIAM J. Optim., 2014

2012
A concave optimization-based approach for sparse portfolio selection.
Optim. Methods Softw., 2012

A decomposition algorithm for unconstrained optimization problems with partial derivative information.
Optim. Lett., 2012

Derivative-free methods for bound constrained mixed-integer optimization.
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

A Modified DIviding RECTangles Algorithm for a Problem in Astrophysics.
J. Optim. Theory Appl., 2011

2010
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization.
SIAM J. Optim., 2010

A partition-based global optimization algorithm.
J. Glob. 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

A global optimization algorithm for protein surface alignment.
BMC Bioinform., 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
A derivative-free algorithm for systems of nonlinear inequalities.
Optim. Lett., 2008

2006
A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems.
SIAM J. Optim., 2006

2005
Design of induction motors using a mixed-variable approach.
Comput. Manag. Sci., 2005

2004
A magnetic resonance device designed via global optimization techniques.
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


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