Multiobjective optimization of airline crew management with a genetic algorithm

dc.contributor.authorCrego, Alfredo
dc.contributor.authorHanne, Thomas
dc.contributor.authorDornberger, Rolf
dc.contributor.editorAbraham, Ajith
dc.contributor.editorBajaj, Anu
dc.contributor.editorGandhi, Niketa
dc.contributor.editorMadureira, Ana Maria
dc.contributor.editorKahraman, Cengiz
dc.date.accessioned2025-03-07T12:55:06Z
dc.date.issued2023
dc.description.abstractIn this paper we discuss the real-world problem of crew management in the airline business. We focus on modeling the optimization of the crew rostering, taking into account the constraints from the European Union Aviation Safety Agency (EASA) regulating the flight time limitations (FTL). Special emphasis is put on the preferences and fairness among the crew members. This results in a multiobjective constrained optimization problem, which we solve with a Genetic Algorithm (GA). The fitness function is composed of multiple objectives for which the user can adjust their relative weights, depending on their preferences. The main contribution of the paper is the novel multiobjective problem formulation and its proof-of-concept solution by a GA.
dc.description.urihttps://mirlabs.org/ibica22/
dc.event13th International Conference on Innovations in Bio-Inspired Computing and Applications
dc.event.end2022-12-17
dc.event.start2022-12-15
dc.identifier.doi10.1007/978-3-031-27499-2_10
dc.identifier.isbn978-3-031-27498-5
dc.identifier.isbn978-3-031-27499-2
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/48187
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofInnovations in Bio-Inspired Computing and Applications. Proceedings of the 13th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2022) Held During December 15-17, 2022
dc.relation.ispartofseriesLecture Notes in Networks and Systems
dc.spatialCham
dc.subject.ddc330 - Wirtschaft
dc.titleMultiobjective optimization of airline crew management with a genetic algorithm
dc.type04B - Beitrag Konferenzschrift
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination109-119
fhnw.publicationStatePublished
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication64196f63-c326-4e10-935d-6776cc91354c
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
Dateien

Lizenzbündel

Gerade angezeigt 1 - 1 von 1
Kein Vorschaubild vorhanden
Name:
license.txt
Größe:
2.66 KB
Format:
Item-specific license agreed upon to submission
Beschreibung: