A Multi-objective Biased Random-Key Genetic Algorithm for the Siting of Emergency Vehicles. - Francesca Da Ros; Luca Di Gaspero; David La Barbera; Vincenzo Della Mea; Kevin Roitero; Laura Deroma; Sabrina Licata; Francesca Valent (MIC, 2022)

Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing. - Francesca Da Ros; Luca Di Gaspero (GECCO Companion, 2023)

Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics. - Francesca Da Ros; Luca Di Gaspero (GECCO Companion, 2023)

An Empirical Analysis of Tabu Lists. - Francesca Da Ros; Luca Di Gaspero (MIC (2), 2024)

EasyLocal++ a 25-year Perspective on Local Search Frameworks: The Evolution of a Tool for the Design of Local Search Algorithm. - Sara Ceschia; Francesca Da Ros; Luca Di Gaspero; Andrea Schaerf (GECCO Companion, 2024)

Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search. - Francesca Da Ros; Luca Di Gaspero; Marie-Louise Lackner; Nysret Musliu (GECCO Companion, 2024)

Local Search Algorithms for the Oven Scheduling Problem. - Francesca Da Ros; Luca Di Gaspero; Marie-Louise Lackner; Nysret Musliu; Felix Winter (GECCO Companion, 2024)

Theoretical Lower Bounds for the Oven Scheduling Problem. - Francesca Da Ros; Marie-Louise Lackner; Nysret Musliu (CoRR, 2024)

Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region. - Francesca Da Ros; Luca Di Gaspero; Kevin Roitero; David La Barbera; Stefano Mizzaro; Vincenzo Della Mea; Francesca Valent; Laura Deroma (J. Heal. Informatics Res., 2024)

Report on the 14th Italian Information Retrieval Workshop (IIR 2024). - Eddy Maddalena; Stefano Mizzaro; Kevin Roitero; Marco Viviani 001; David La Barbera; Sandip Modha; Gabriella Pasi; Francesca Da Ros; Michael Soprano (SIGIR Forum, 2024)

Report on the Hands-On PhD Course on Responsible AI from the Lens of an Information Access Researcher. - Damiano Spina; Kevin Roitero; Stefano Mizzaro; Vincenzo Della Mea; Francesca Da Ros; Michael Soprano; Hafsa Akebli; Alex Falcon; Mehdi Fasihi; Alessio Fiorin; David La Barbera; Daniele Lizzio Bosco; et al. (SIGIR Forum, 2024)

Search Trajectory Networks Applied to a Real-World Parallel Batch Scheduling Problem. - Francesca Da Ros; Luca Di Gaspero; Marie-Louise Lackner; Nysret Musliu; Michael Soprano (EvoApplications (2), 2025)

Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features? - Francesca Da Ros; Luca Di Gaspero; Kevin Roitero (EvoApplications (2), 2025)

Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem. - Francesca Da Ros; Luca Di Gaspero; Marie-Louise Lackner; Nysret Musliu (EvoCOP@EvoStar, 2025)

Dynamic Temperature Control of Simulated Annealing using Hyper-Heuristics. - Francesca Da Ros; Luca Di Gaspero; Lucas Kletzander; Marie-Louise Lackner; Nysret Musliu; Andrea Schaerf (GECCO, 2025)

Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations. - Michael Soprano; Eddy Maddalena; Francesca Da Ros; Maria Elena Zuliani; Stefano Mizzaro (IRCDL, 2025)

Multi-neighborhood simulated annealing for the oven scheduling problem. - Francesca Da Ros; Luca Di Gaspero; Marie-Louise Lackner; Nysret Musliu; Felix Winter (Comput. Oper. Res., 2025)

Large Language Models for Combinatorial Optimization: A Systematic Review. - Francesca Da Ros; Michael Soprano; Luca Di Gaspero; Kevin Roitero (CoRR, 2025)