Titre :

Practical Application of Matchmaking Problem: Trainee Allocation for Teachers

Auteur(s) :

Morge, Maxime [Auteur]
Université de Lille, Sciences et Technologies
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Systèmes Multi-Agents et Comportements [SMAC]
Piette, Eric [Auteur]
Université de Lille, Sciences et Technologies
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Systèmes Multi-Agents et Comportements [SMAC]

Titre de la manifestation scientifique :

International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS)

Organisateur(s) de la manifestation scientifique :

Yves Demazeau and Franco Zambonelli and Juan M. Corchado and Javier Bajo

Ville :

Salamanca

Pays :

Espagne

Date de début de la manifestation scientifique :

2014-06-04

Éditeur :

Springer

Date de publication :

2014

Mot(s)-clé(s) en anglais :

Negotiation
Multiagent systems

Discipline(s) HAL :

Informatique [cs]/Intelligence artificielle [cs.AI]

Résumé en anglais : [en]

In this paper, we tackle a complex real-world problem: trainee allocation for primary school teachers in a French teaching Academy. This complex real-world problem can be reduced into the well- known Hospitals / Residents ...
Lire la suite >In this paper, we tackle a complex real-world problem: trainee allocation for primary school teachers in a French teaching Academy. This complex real-world problem can be reduced into the well- known Hospitals / Residents (HR) problem. However, the most difficult part consists of generating the preference lists according to the real con- straints, priorities and wishes. Additionally, we adapt the Swing method to the HR problem and we apply it to this real-world problem in order to balance the different objectives. In this way, the Swing method decreases the management cost of the operation.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL