Présentation
Le Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS) est une Unité Mixte de Recherche (UMR 6158) en informatique, et plus généralement en Sciences et Technologies de l'Information et de la Communication (STIC).
(lire la suite)Dernières Publications
Louis Esperet, Harmender Gahlawat, Ugo Giocanti - 1 janvier 2026
Coarse cops and robber in graphs and groups
European Journal of Combinatorics
Sandip Das, Florent Foucaud, Sk Samim Islam, Joydeep Mukherjee - 1 janvier 2026
Relation between broadcast domination and multipacking numbers on chordal and other hyperbolic graphs
Discrete Applied Mathematics
Antoine Dailly, Florent Foucaud, Anni Hakanen - 2 avril 2026
Algorithms and hardness for Metric Dimension on digraphs
Journal of Computer and System Sciences
Sandip Das, Florent Foucaud, Sk Samim Islam, Joydeep Mukherjee - 1 janvier 2026
Relation between broadcast domination and multipacking numbers on chordal and other hyperbolic graphs
Discrete Applied Mathematics
Adrien Wartelle, Quentin Christ, Stéphane Dauzère-Pérès, Renaud Roussel, Claude Yugma - 21 janvier 2026
Modelling the impact of lot priorities on production cycle times: a data-driven approach
International Journal of Production Research
Coarse cops and robber in graphs and groups
European Journal of Combinatorics
Sandip Das, Florent Foucaud, Sk Samim Islam, Joydeep Mukherjee - 1 janvier 2026
Relation between broadcast domination and multipacking numbers on chordal and other hyperbolic graphs
Discrete Applied Mathematics
Antoine Dailly, Florent Foucaud, Anni Hakanen - 2 avril 2026
Algorithms and hardness for Metric Dimension on digraphs
Journal of Computer and System Sciences
Sandip Das, Florent Foucaud, Sk Samim Islam, Joydeep Mukherjee - 1 janvier 2026
Relation between broadcast domination and multipacking numbers on chordal and other hyperbolic graphs
Discrete Applied Mathematics
Adrien Wartelle, Quentin Christ, Stéphane Dauzère-Pérès, Renaud Roussel, Claude Yugma - 21 janvier 2026
Modelling the impact of lot priorities on production cycle times: a data-driven approach
International Journal of Production Research