Florian Mischek
TISS: Florian Mischek
Room: HG0306Phone: -
Fax: +43/1/58801/192-212
Email:
I am a postdoctoral researcher in the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling led by Nysret Musliu.
I am currently working on advanced automated project scheduling approaches for industrial test laboratories, including the Test Laboratory Scheduling Problem, a generalization of the Resource-Constrained Project Scheduling Problem. In addition, I investigate problem-independent solution methods using hyper-heuristics.
Publications
Journal
- Philipp Danzinger, Tobias Geibinger, David Janneau, Florian Mischek, Nysret Musliu and Christian Poschalko. A system for automated industrial test laboratory scheduling. ACM Transactions on Intelligent Systems and Technology (2022)
- Florian Mischek, Nysret Musliu and Andrea Schaerf. Local search approaches for the test laboratory scheduling problem with variable task grouping. Journal of Scheduling (2021)
- Florian Mischek and Nysret Musliu. A local search framework for industrial test laboratory scheduling. Annals of Operations Research (2021)
- Florian Mischek and Nysret Musliu. Integer programming model extensions for a multi-stage nurse rostering problem. Annals of Operations Research (2017)
Conferences
- Florian Mischek, Nysret Musliu. Reinforcement Learning for Cross-Domain Hyper-Heuristics. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. IJCAI 2022
- Tobias Geibinger, Lucas Kletzander, Matthias Krainz, Florian Mischek, Nysret Musliu, Felix Winter. Physician Scheduling During a Pandemic. Proceedings of the International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR 2021
- Tobias Geibinger, Florian Mischek and Nysret Musliu. Constraint Logic Programming for Real-World Test Laboratory Scheduling. Proceedings of the AAAI Conference on Artificial Intelligence
- Philipp Danzinger, Tobias Geibinger, Florian Mischek and Nysret Musliu. Solving the Test Laboratory Scheduling Problem with Variable Task Grouping. Proceedings of the International Conference on Automated Planning and Scheduling - ICAPS 2020
- Tobias Geibinger, Florian Mischek and Nysret Musliu. Investigating Constraint Programming for Real-World Industrial Test Laboratory Scheduling. Proceedings of the 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research - CPAIOR 2019, Thessaloniki, June 4 - 7, 2019
- Florian Mischek and Nysret Musliu. Integer Programming and Heuristic Approaches for a Multi-Stage Nurse Rostering Problem. Proceedings of PATAT 2016 - The 11th International Conference on the Practice and Theory of Automated Timetabling, Udine, August 23 - 26, 2016
Academic Writing
- Florian Mischek. Automated Project Scheduling in Real-World Test Laboratories. Dissertation, 2022
-
Florian Mischek.
Exact and Heuristic Approaches for a
Multi-Stage Nurse Rostering Problem.
Diploma Thesis, 2016
(Selected among best 4 master theses finished in Summer Semester 2017 at the Faculty of Informatics, Vienna University of Technology)
Technical Reports
- Florian Mischek and Nysret Musliu. A collection of hyper-heuristics for the HyFlex framework. Technical Report, TU Wien, CD-TR 2021/1, 2021
- Florian Mischek and Nysret Musliu. The Test Laboratory Scheduling Problem. Technical Report, TU Wien, CD-TR 2018/1, 2018
- Lucas Kletzander, Florian Mischek, Nysret Musliu, Gerhard Post and Felix Winter. A General Modeling Format for Employee Scheduling. Technical Report, TU Wien, DBAI-TR-2017-109, 2017