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A multi-agent approach for the dynamic VRPTW

Zargayouna, H. Mahdi; Balbo, Flavien; Scémama, Gérard (2008), A multi-agent approach for the dynamic VRPTW, in Artikis, Alexander; Picard, Gauthier; Vercouter, Laurent, 9th Annual International Workshop "Engineering Societies in the Agents World" (ESAW 08), Ecole Nationale Superieure des Mines de Saint-Etienne (ENSM-SE) : Saint-Etienne

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vrptw.pdf (342.6Kb)
Type
Communication / Conférence
Date
2008
Conference title
ESAW 08
Conference date
2008-09
Conference city
Saint-Etienne
Conference country
France
Book title
9th Annual International Workshop "Engineering Societies in the Agents World" (ESAW 08)
Book author
Artikis, Alexander; Picard, Gauthier; Vercouter, Laurent
Publisher
Ecole Nationale Superieure des Mines de Saint-Etienne (ENSM-SE)
Published in
Saint-Etienne
Metadata
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Author(s)
Zargayouna, H. Mahdi cc
Génie des Réseaux de Transport et Informatique Avancée [INRETS/GRETIA]
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Balbo, Flavien
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Scémama, Gérard
Génie des Réseaux de Transport et Informatique Avancée [INRETS/GRETIA]
Abstract (EN)
In this paper, we propose a multi-agent approach to solve a hard combinatorial problem: the vehicle routing problem with time windows. A multi-agent approach is most relevant when dealing with the dynamic version of the problem, where all the customers are not known before the start of the solving process. We focus on both the interaction process and the computation process. For the interaction process, we rely on the Property-Based Coordination model, enabling to limit the interaction to the only agents that might reach a solution. The overall interaction follows the well-known Contract Net Protocol. Concerning the computation process, we propose a new heuristic, based on the measure of the agents’ perception field over their environment, which privileges a solving process focused on the future.
Subjects / Keywords
simulation multi-agent; distributed systems

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