Pierluigi Mansueto

According to our database, Pierluigi Mansueto authored at least 14 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Correction: On the computation of the efficient frontier in advanced sparse portfolio optimization.

Arturo Annunziata, Matteo Lapucci, Pierluigi Mansueto, Davide Pucci

4OR, March, 2026

On the computation of the efficient frontier in advanced sparse portfolio optimization.

Arturo Annunziata, Matteo Lapucci, Pierluigi Mansueto, Davide Pucci

4OR, March, 2026

Combining gradient information and primitive directions for high-performance Bound-Constrained mixed-integer optimization.

Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi, Pierluigi Mansueto

J. Glob. Optim., February, 2026

Effective Front-Descent Algorithms with Convergence Guarantees.

Matteo Lapucci, Pierluigi Mansueto, Davide Pucci

SIAM J. Optim., 2026

2025

A Bi-Objective Optimization Based Acquisition Strategy for Batch Bayesian Global Optimization.

Francesco Carciaghi, Simone Magistri, Pierluigi Mansueto, Fabio Schoen

Comput. Optim. Appl., September, 2025

2024

Cardinality-Constrained Multi-objective Optimization: Novel Optimality Conditions and Algorithms.

Matteo Lapucci, Pierluigi Mansueto

J. Optim. Theory Appl., April, 2024

Optimization-Driven Design of Monolithic Soft-Rigid Grippers.

Pierluigi Mansueto, Mihai Dragusanu, Anjum Saeed, Monica Malvezzi, Matteo Lapucci, Gionata Salvietti

CoRR, 2024

Memetic Differential Evolution Methods for Semi-Supervised Clustering.

Pierluigi Mansueto, Fabio Schoen

CoRR, 2024

2023

A memetic procedure for global multi-objective optimization.

Matteo Lapucci, Pierluigi Mansueto, Fabio Schoen

Math. Program. Comput., June, 2023

Improved front steepest descent for multi-objective optimization.

Matteo Lapucci, Pierluigi Mansueto

Oper. Res. Lett., May, 2023

A limited memory Quasi-Newton approach for multi-objective optimization.

Matteo Lapucci, Pierluigi Mansueto

Comput. Optim. Appl., May, 2023

2021

Memetic differential evolution methods for clustering problems.

Pierluigi Mansueto, Fabio Schoen

Pattern Recognit., 2021

Pareto front approximation through a multi-objective augmented Lagrangian method.

Guido Cocchi, Matteo Lapucci, Pierluigi Mansueto

EURO J. Comput. Optim., 2021

2020

Recognition of Concordances for Indexing in Digital Libraries.

Simone Marinai, Samuele Capobianco, Zahra Ziran, Andrea Giuntini, Pierluigi Mansueto

Proceedings of the Digital Libraries: The Era of Big Data and Data Science, 2020