Accéder directement au contenu Accéder directement à la navigation
Nouvelle interface
Communication dans un congrès

An intelligent approach for solving the airlines crew rostering problem

Abstract : A bi-criterion approach for the nominal airline crew rostering problem is developed. The nominal crew rostering problem considers the assignment of crew staff to a set of pairings covering all the scheduled flights so that operation costs are minimized while its solution must meet hard constraints resulting from the safety regulations of civil aviation as well as from airline internal agreements. Another goal of the highest interest to airlines is that overall satisfaction of crew staff may have important consequences on the quality and economic return of operations. A new mathematical formulation of the crew scheduling problem which takes into account the satisfaction of crew members is proposed. A heuristic approach, combined with a genetic algorithm technique, is adopted to produce reduced cost solutions associated with acceptable satisfaction levels for the crew staff. The application of the proposed approach to a medium sized airline crew rostering problem is evaluated.
Type de document :
Communication dans un congrès
Liste complète des métadonnées

https://hal-enac.archives-ouvertes.fr/hal-01021706
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : jeudi 17 juillet 2014 - 09:01:02
Dernière modification le : mardi 25 octobre 2022 - 11:58:10
Archivage à long terme le : : jeudi 20 novembre 2014 - 16:58:14

Fichier

Mora-Camino_ACS2001.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Walid El Moudani, Carlos Alberto Nunes Cosenza, Felix Mora-Camino. An intelligent approach for solving the airlines crew rostering problem. ACS 2001, 1st ACS/IEEE International Conference on Computer Systems and Applications, Jun 2001, Beirut, Lebanon. pp 73-79, ⟨10.1109/AICCSA.2001.933954⟩. ⟨hal-01021706⟩

Partager

Métriques

Consultations de la notice

670

Téléchargements de fichiers

242