activity
20052022
most citedAI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

15 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2022★ 4 cited

Automated Algorithm Selection for Radar Network Configuration

Quentin Renau, Johann Dreo, Alain Peres +3

The configuration of radar networks is a complex problem that is often performed manually by experts with the help of a simulator. Different numbers and types of radars as well as…

eess.SP2020★ 15 cited

AI-Augmented Multi Function Radar Engineering with Digital Twin: Towards Proactivity

Mathieu Klein, Thomas Carpentier, Eric Jeanclaude +7

Thales new generation digital multi-missions radars, fully-digital and software-defined, like the Sea Fire and Ground Fire radars, benefit from a considerable increase of accessibl…

cs.AI2006

On the Benefits of Inoculation, an Example in Train Scheduling

Yann Semet, Marc Schoenauer

The local reconstruction of a railway schedule following a small perturbation of the traffic, seeking minimization of the total accumulated delay, is a very difficult and tightly c…

cs.GT2005

Artificial Agents and Speculative Bubbles

Yann Semet, Sylvain Gelly, Marc Schoenauer +1

Pertaining to Agent-based Computational Economics (ACE), this work presents two models for the rise and downfall of speculative bubbles through an exchange price fixing based on do…

cs.AI2005★ 11 cited

An efficient memetic, permutation-based evolutionary algorithm for real-world train timetabling

Marc Schoenauer, Yann Semet

Train timetabling is a difficult and very tightly constrained combinatorial problem that deals with the construction of train schedules. We focus on the particular problem of local…