A down to earth solution: applying a robust simulation-optimization approach to resolve aviation problems

Paolo Scala 1 Daniel Delahaye 2 Miguel Mujica 1
1 HvA - Hogeschool van Amsterdam
2 ENAC - Ecole Nationale de l'Aviation Civile
Abstract : This paper deals with the improvement of the robustness of heuristic solutions for aviation systems affected by uncertainty when the resolution of conflicts is implemented. A framework that includes the use of optimization and simulation is described which in turn generates pseudo-optimal schedules. The initial solution is progressively improved by iteratively evaluating the uncertainty in the generated solutions and calibrating in accordance with the objective function. Simulation is used for testing the feasibility of a solution generated by an optimization algorithm in an environment characterized by uncertainty. The results show that the methodology is able to improve solutions for the scenarios with uncertainty, thus making them excellent candidates for being implemented in real environments.
Type de document :
Communication dans un congrès
WSC 2017, Winter Simulation Conference, Dec 2017, Las Vegas, United States. ACM, pp. 2626-2637, 2017, Winter Simulation Conference, Part F134102
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger
https://hal-enac.archives-ouvertes.fr/hal-01658763
Contributeur : Laurence Porte <>
Soumis le : jeudi 7 décembre 2017 - 18:02:11
Dernière modification le : lundi 9 avril 2018 - 11:27:20

Fichier

wsc17paper.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01658763, version 1

Collections

ENAC | OPTIM | INSMI | TDS-MACS

Citation

Paolo Scala, Daniel Delahaye, Miguel Mujica. A down to earth solution: applying a robust simulation-optimization approach to resolve aviation problems. WSC 2017, Winter Simulation Conference, Dec 2017, Las Vegas, United States. ACM, pp. 2626-2637, 2017, Winter Simulation Conference, Part F134102. 〈hal-01658763〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

122

Téléchargements de fichiers

50

Picto

Contact  : publications@enac.fr