Investigating the landscape of a hybrid local search approach for a timetabling problem. - Thomas Feutrier; Marie-Eléonore Kessaci; Nadarajen Veerapen (GECCO Companion, 2021)

Exploiting landscape features for fitness prediction in university timetabling. - Thomas Feutrier; Nadarajen Veerapen; Marie-Eléonore Kessaci (GECCO Companion, 2022)

Analysis of Search Landscape Samplers for Solver Performance Prediction on a University Timetabling Problem. - Thomas Feutrier; Marie-Eléonore Kessaci; Nadarajen Veerapen (PPSN (1), 2022)

When Simpler is Better: Automated Configuration of a University Timetabling Solver. - Thomas Feutrier; Nadarajen Veerapen; Marie-Eléonore Kessaci (CEC, 2023)

Improving the Relevance of Artificial Instances for Curriculum-Based Course Timetabling through Feasibility Prediction. - Thomas Feutrier; Nadarajen Veerapen; Marie-Eléonore Kessaci (GECCO Companion, 2023)

Landscape Analysis and Solver Reconfiguration for the Curriculum-Based Course Timetabling. (Analyse du paysage et reconfiguration d'algorithmes pour le problème CB-CTT d'emploi du temps universitaire). - Thomas Feutrier (2023)