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. Preference Explanation and Decision Support for Multi-Objective Real-World Test Laboratory Scheduling. Accepted for publication in the Proceedings of the International Conference on Automated Planning and Scheduling. ICAPS 2024
- Florian Mischek, Nysret Musliu. Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling. Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2023
- 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