| 2026 | GECCO | Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment. | Francesca Da Ros, Tarik Zaciragic, Aske Plaat, Thomas Bck, Niki van Stein |
| 2025 | EvoCOP | Instance Space Analysis and Algorithm Selection for a Parallel Batch Scheduling Problem. | Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu |
| 2025 | GECCO | Dynamic Temperature Control of Simulated Annealing using Hyper-Heuristics. | Francesca Da Ros, Luca Di Gaspero, Lucas Kletzander, Marie-Louise Lackner, Nysret Musliu, Andrea Schaerf |
| 2024 | GECCO | 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 |
| 2024 | GECCO | Reducing Energy Consumption in Electronic Component Manufacturing through Large Neighborhood Search. | Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu |
| 2024 | GECCO | Local Search Algorithms for the Oven Scheduling Problem. | Francesca Da Ros, Luca Di Gaspero, Marie-Louise Lackner, Nysret Musliu, Felix Winter |
| 2023 | GECCO | Local Search Strategies for Multi-Objective Flowshop Scheduling: Introducing Pareto Late Acceptance Hill Climbing. | Francesca Da Ros, Luca Di Gaspero |
| 2023 | GECCO | Exploring the Potential of JuLeS: A White Box Framework for Local Search Metaheuristics. | Francesca Da Ros, Luca Di Gaspero |