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.
(Only available in french).
Title: Poste de MCF 61ème section à l’Université d’Artois
Keywords: Reconnaissance de formes, Fusion, Optimisation, Commande, Transport.
Our paper "D. Nyakam Nya et al. Managing Occupancy Rates in a Hospital Emergency Department Combining Model-Based and Model-Free Control Approaches" has been awarded a Best Paper Award at CIST 2023.
Held the 1 December 2023 at 09:00.
Title: Contribution à l’optimisation des flux de patients et matières dans un environnement incertain et dynamique.
Held the 21 November 2023 at 09:00.
Title: Reinforcement Learning for Simultaneous Scheduling of Production and Maintenance.
Held the 29 November 2023 at 10:00.
Title: Collaborative control of complex systems: application to supply chains.
Held the 5 October 2023 at 09:30.
Title: Information fusion under uncertainty in a multi-intelligence context: Diversity and unity.
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