Record link: 
http://hdl.handle.net/20.500.12708/209926
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Title: 
Solving the Employee Task Distribution Problem with Multiple Objectives
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Citation: 
Horn, M., Lackner, M.-L., Mrkvicka, C., Musliu, N., Preininger, J., & Winter, F. (2024). Solving the Employee Task Distribution Problem with Multiple Objectives. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 36–51).
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Horn, Matthias 
Lackner, Marie-Louise 
Mrkvicka, Christoph 
Musliu, Nysret 
Preininger, Jakob 
Winter, Felix 
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Organisational Unit: 
E192-02 - Forschungsbereich Databases and Artificial Intelligence 
E056-23 - Fachbereich Innovative Combinations and Applications of AI and ML (iCAIML) 
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Published in: 
Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 
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ISBN: 
978-0-9929984-6-2
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Date (published): 
2024
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Event name: 
PATAT 2024 - 14th International Conference on the Practice and Theory of Automated Timetabling 
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Event date: 
27-Aug-2024 - 30-Aug-2024
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Event place: 
Denmark
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Number of Pages: 
16
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Peer reviewed: 
Yes
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Keywords: 
Employee Task Distribution Problem; Assignment Problem; Constraint Programming; Integer Programming
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Project title: 
CD Labor für Künstliche Intelligenz und Optimierung in Planung und Scheduling: keine Angabe (Christian Doppler Forschungsgesells) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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