Florian Mischek

Orcid: 0000-0003-1166-3881

According to our database1, Florian Mischek authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Investigating constraint programming and hybrid methods for real world industrial test laboratory scheduling.
J. Sched., December, 2024

Preference Explanation and Decision Support for Multi-Objective Real-World Test Laboratory Scheduling.
Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

2023
Local search approaches for the test laboratory scheduling problem with variable task grouping.
J. Sched., October, 2023

A System for Automated Industrial Test Laboratory Scheduling.
ACM Trans. Intell. Syst. Technol., February, 2023

Leveraging problem-independent hyper-heuristics for real-world test laboratory scheduling.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
Reinforcement Learning for Cross-Domain Hyper-Heuristics.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
A local search framework for industrial test laboratory scheduling.
Ann. Oper. Res., 2021

Physician Scheduling During a Pandemic.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2021

Constraint Logic Programming for Real-World Test Laboratory Scheduling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Solving the Test Laboratory Scheduling Problem with Variable Task Grouping.
Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

2019
Integer programming model extensions for a multi-stage nurse rostering problem.
Ann. Oper. Res., 2019

Investigating Constraint Programming for Real World Industrial Test Laboratory Scheduling.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019


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