Datensatz Zitierlink: 
http://hdl.handle.net/20.500.12708/198650
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Titel: 
Investigating Large Neighbourhood Search for Bus Driver Scheduling
en
Zitat: 
Mazzoli, T. M., Kletzander, L., Van Hentenryck, P., & Musliu, N. (2024). Investigating Large Neighbourhood Search for Bus Driver Scheduling. In S. Bernardini & C. Muise (Eds.), Vol. 34 (2024): Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (pp. 360–368). AAAI Press. https://doi.org/10.1609/icaps.v34i1.31495
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Verlags-DOI: 
10.1609/icaps.v34i1.31495
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Publikationstyp: 
Konferenzbeitrag - Full-Paper Contribution
de
Sprache: 
Englisch
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Autor_innen: 
Mazzoli, Tommaso Mannelli 
Kletzander, Lucas 
Van Hentenryck, Pascal 
Musliu, Nysret 
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Organisations­einheit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
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Erschienen in: 
Vol. 34 (2024): Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling 
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ISBN: 
978-1-57735-889-3
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Band: 
34
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Datum (veröffentlicht): 
30-Mai-2024
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Veranstaltungs­name: 
34th International Conference on Automated Planning and Scheduling (ICAPS 2024) 
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Veranstaltungs­zeitraum: 
1-Jun-2024 - 6-Jun-2024
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Veranstaltungs­ort: 
Banaff, Alberta, Kanada
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Umfang: 
9
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Verlag: 
AAAI Press, Washington, DC, USA
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Peer Reviewed: 
Ja
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Keywords: 
Large Neighborhood Search; Metaheuristics; Scheduling; Bus Driver Scheduling Problem; public transport
en
Projekttitel: 
Doktoratskolleg "Vienna Graduate School on Computational Optimization": W1260-N35 (FWF - Österr. Wissenschaftsfonds) 
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Forschungs­schwerpunkte: 
Mathematical and Algorithmic Foundations: 50%
Computer Science Foundations: 50%
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Wissenschafts­zweig: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Enthalten in den Sammlungen:
Conference Paper

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