Francesca Da Ros

According to our database, Francesca Da Ros authored at least 18 papers between 2022 and 2025.

Collaborative distances:

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

2025

Large Language Models for Combinatorial Optimization: A Systematic Review.

Francesca Da Ros, Michael Soprano, Luca Di Gaspero, Kevin Roitero

CoRR, July, 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

Evaluation of Crowdsourced Peer Review using Synthetic Data and Simulations.

Michael Soprano, Eddy Maddalena, Francesca Da Ros, Maria Elena Zuliani, Stefano Mizzaro

Proceedings of the 21st Conference on Information and Research science Connecting to Digital and Library science, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2025

Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem.

Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2025

Probing LLMs on Optimization Problems: Can They Recall and Interpret Problem Features?

Francesca Da Ros, Luca Di Gaspero, Kevin Roitero

Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

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

Proceedings of the Applications of Evolutionary Computation - 28th European Conference, 2025

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, Riccardo Lunardi, Alberto Marturano, Zaka-Ud-Din Muhammad, Francesco Nascimben, Moritz Nottebaum, Massimiliano Pascoli, Mihai Horia Popescu, Laura Rasotto, Mubashara Rehman, Francesco Taverna, Biagio Tomasetig, Alessandro Tremamunno

SIGIR Forum, December, 2024

Report on the 14th Italian Information Retrieval Workshop (IIR 2024).

Eddy Maddalena, Stefano Mizzaro, Kevin Roitero, Marco Viviani, David La Barbera, Sandip Modha, Gabriella Pasi, Francesca Da Ros, Michael Soprano

SIGIR Forum, December, 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., June, 2024

Theoretical Lower Bounds for the Oven Scheduling Problem.

Francesca Da Ros, Marie-Louise Lackner, Nysret Musliu

CoRR, 2024

Local Search Algorithms for the Oven Scheduling Problem.

Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search.

Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

An Empirical Analysis of Tabu Lists.

Francesca Da Ros, Luca Di Gaspero

Proceedings of the Metaheuristics - 15th International Conference, 2024

2023

Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics.

Francesca Da Ros, Luca Di Gaspero

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing.

Francesca Da Ros, Luca Di Gaspero

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

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

Proceedings of the Metaheuristics - 14th International Conference, 2022