activity
20072025
most citedLarge Language Models for Combinatorial Optimization: A Systematic Review

8 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2025★ 8 cited

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…

cs.AI2022★ 2 cited

Educational Timetabling: Problems, Benchmarks, and State-of-the-Art Results

Sara Ceschia, Luca Di Gaspero, Andrea Schaerf

We propose a survey of the research contributions on the field of Educational Timetabling with a specific focus on "standard" formulations and the corresponding benchmark instances…

cs.AI2014

Feature-based tuning of simulated annealing applied to the curriculum-based course timetabling problem

Ruggero Bellio, Sara Ceschia, Luca Di Gaspero +2

We consider the university course timetabling problem, which is one of the most studied problems in educational timetabling. In particular, we focus our attention on the formulatio…

cs.DM2011

Design, Engineering, and Experimental Analysis of a Simulated Annealing Approach to the Post-Enrolment Course Timetabling Problem

Sara Ceschia, Luca Di Gaspero, Andrea Schaerf

The post-enrolment course timetabling (PE-CTT) is one of the most studied timetabling problems, for which many instances and results are available. In this work we design a metaheu…

cs.AI2007★ 2 cited

A preliminary analysis on metaheuristics methods applied to the Haplotype Inference Problem

Luca Di Gaspero, Andrea Roli

Haplotype Inference is a challenging problem in bioinformatics that consists in inferring the basic genetic constitution of diploid organisms on the basis of their genotype. This i…