The LGI2A laboratory (Laboratory of Computer Engineering and Automation of Artois) is a host team of the Ministry of National Education, Higher Education and Research (UR 3926). This laboratory was created in 2000. It currently is composed of more than fifteen research lecturers (...)
In this application field, we are looking for the improvement of the movement of people using new advances in information and communication technologies.
Our objective is to take economic, social and environmental aspects into account when planning processes in logistics chains, logistics and production management.
The Decision and Information Fusion theme (DFI) deals with decision support problems in the presence of imperfect information. The main tool used is the Dempster-Shafer theory of belief functions, which extends the probability theory by representing the degrees of belief by non-additive measures.
Le thème concentre ses efforts principalement sur les méthodes de résolution de problèmes réputés difficiles à résoudre et souvent de nature combinatoire que l’on rencontre dans les systèmes logistiques.
Held the 1 April 2025 at 13:00.
Title: Robust Classification in Bayesian Neural Networks.
DI MARIA Andrea, associate professor at the University of Liège (Belgium), will be a guest of the LGI2A from 25 March 2025 to 28 March 2025
Held the 27 March 2025 at 10:00.
Title (in french only): Analyse de la durabilité par l’Analyse du Cycle de Vie (ACV) : méthodes, applications et perspectives de collaborations.
2nd place (ex-aequo) of the IJAR Best Papers Award at BELIEF 2024 awarded to the paper “Tuan-Anh Vu, Sohaib Afifi, Éric Lefèvre and Frédéric Pichon. Optimization under Severe Uncertainty: a Generalized Minimax Regret Approach for Problems with Linear Objectives”.
Tuan-Anh Vu was awarded the best student paper prize (ex-aequo) for his paper entitled "T.-A. Vu, S. Afifi, É. Lefèvre and F. Pichon. Une approche généralisée du regret minimax pour des problèmes d’optimisation sous incertitude sévère avec objectifs linéaires"
Held the 16 December 2024 at 09:30.
Title: New Optimization Techniques for Cross-Docking.
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