Swarm Approaches for the Patrolling Problem, Information Propagation vs. Pheromone Evaporation

Hoang-Nam Chu Arnaud Glad Olivier Simonin 1 Francois Sempe Alexis Drogoul François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper deals with the multi-agent patrolling problem in unknown environment using two collective approaches exploiting environmental dynamics. After specifying criteria of performances, we define a first algorithm based only on the evaporation of a pheromone dropped by reactive agents (EVAP). Then we present the model CLInG 7 proposed in 2003 which introduces the diffusion of the idleness of areas to visit. We systematically compare by simulations the performances of these two models on growing-complexity environments. The analysis is supplemented by a comparison with the theoretical optimum performances, allowing to identify topologies for which methods are the most adapted.
Type de document :
Communication dans un congrès
19th IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2007, Oct 2007, Patras, Greece. IEEE, 2007
Liste complète des métadonnées
https://hal.inria.fr/inria-00172335
Contributeur : Olivier Simonin <>
Soumis le : vendredi 14 septembre 2007 - 19:19:10
Dernière modification le : jeudi 11 janvier 2018 - 06:19:51

Identifiants

  • HAL Id : inria-00172335, version 1

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Hoang-Nam Chu, Arnaud Glad, Olivier Simonin, Francois Sempe, Alexis Drogoul, et al.. Swarm Approaches for the Patrolling Problem, Information Propagation vs. Pheromone Evaporation. 19th IEEE International Conference on Tools with Artificial Intelligence - ICTAI 2007, Oct 2007, Patras, Greece. IEEE, 2007. 〈inria-00172335〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

277

Contact


archive-ouverte@inria.fr