Procédure décentralisée d’affectation d’individus à des activités

Procédure décentralisée d’affectation d’individus à des activités

Maxime Morge Antoine Nongaillard  

Univ. Lille, CNRS, Centrale Lille, UMR 9189 - CRIStAL - Centre de Recherche en Informatique Signal et Automatique de Lille, F-59000 Lille, France

Corresponding Author Email: 
{maxime.morge,antoine.nongaillard}@univ-lille.fr
Page: 
627-658
|
DOI: 
https://doi.org/10.3166/ria.32.627-658
Received: 
|
Accepted: 
|
Published: 
31 December 2018
| Citation

ACCESS

Abstract: 

In this paper, we introduce an agent-based model for coalition formation which is suitable for our usecase. We propose two clearinghouses mechanisms that return sound matchings. The first aims at maximizing the global welfare of the individuals. The second ensures that all individuals are assigned as much as possible to a preferred activity. Our experiments show that the outcome of our algorithms are better than those obtained with the classical searc/optimization techniques. Moreover, their distribution speeds up their runtime.  

Keywords: 

multi-agent system, distributed problem solving, negotiation, agent behavior, coalition formation

1. Introduction
2. Modélisation multi-agents du processus d’affectation
3. Affectation d’individus à des activités
4. Procédure centralisée d’appariement
5. Comportement d’agent
6. Évaluation empirique
7. Application pratique
8. Discussion
Remerciements
Annexe A. Programmation linéaire
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