ROADEF 2026>
CVRPLIB BKS challenge : The MAMUT approach
Adrien Pichon  1@  , Marc Sevaux  1@  , Alexandru Olteanu  1, 2@  , Christine Solnon  3, 4@  
1 : Université de Bretagne Sud - Lorient
Université de Bretagne Sud
2 : Equipe DECIDE
Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 : Centre of Innovation in Telecommunications and Integration of services  (CITI)
CITI Centre of Innovation in Telecommunications and Integration of services
4 : Institut National des Sciences Appliquées de Lyon
Institut National des Sciences Appliquées, Université de Lyon

This presentation summarizes the approach developed by the MAMUT team for this chal-
lenge. Our method combines advanced metaheuristic techniques with data-driven strategies
to effectively tackle the complexities of large-scale CVRP instances. We detail our algorithmic
framework, experimental setup, and the results obtained on the benchmark instances provided
in the challenge.


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