4 papers
Assessing Reproducibility in Evolutionary Computation: A Case Study using Human- and LLM-based Assessment
Francesca Da Ros, Tarik ZaÄiragiÄ, Aske Plaat +2
Reproducibility is an important requirement in evolutionary computation, where results largely depend on computational experiments. In practice, reproducibility relies on how algor…
Behavior and Representation in Open-Weight Large Language Models for Combinatorial Optimization: From Feature Extraction to Algorithm Selection
Francesca Da Ros, Luca Di Gaspero, Kevin Roitero
Recent advances in Large Language Models (LLMs) open new perspectives for automation in optimization, yet little is known about whether their internal representations capture probl…
Large Language Models for Combinatorial Optimization: A Systematic Review
Francesca Da Ros, Michael Soprano, Luca Di Gaspero +1
This systematic review explores the application of Large Language Models (LLMs) in Combinatorial Optimization (CO). We report our findings using the Preferred Reporting Items for S…
Theoretical Lower Bounds for the Oven Scheduling Problem
Francesca Da Ros, Marie-Louise Lackner, Nysret Musliu
The Oven Scheduling Problem (OSP) is an NP-hard real-world parallel batch scheduling problem arising in the semiconductor industry. The objective of the problem is to schedule a se…