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Felix Winter

Univ.Ass. Dipl.-Ing. Dr.techn. / BSc

Felix Winter

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2024W

2025S

 

2025

2024

  • A Hybrid Approach for the Artificial Teeth Scheduling Problem / Winter, F., & Musliu, N. (2024). A Hybrid Approach for the Artificial Teeth Scheduling Problem. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 255–258).
    Project: ARTIS (2017–2025)
  • Solving the Employee Task Distribution Problem with Multiple Objectives / 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).
    Project: ARTIS (2017–2025)
  • Local Search Algorithms for the Oven Scheduling Problem / Da Ros, F., Di Gaspero, L., Lackner, M.-L., Musliu, N., & Winter, F. (2024). Local Search Algorithms for the Oven Scheduling Problem. In GECCO ’24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 191–194). https://doi.org/10.1145/3638530.3654158
    Project: ARTIS (2017–2025)

2023

  • Exact methods for the Oven Scheduling Problem / Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., & Winter, F. (2023). Exact methods for the Oven Scheduling Problem. Constraints, 28(2), 320–361. https://doi.org/10.1007/s10601-023-09347-2
    Download: PDF (731 KB)
    Project: ARTIS (2017–2025)

2022

  • Modeling and Solving Parallel Machine Scheduling with Contamination Constraints in the Agricultural Industry / Winter, F., Meiswinkel, S., Musliu, N., & Walkiewicz, D. (2022). Modeling and Solving Parallel Machine Scheduling with Contamination Constraints in the Agricultural Industry. In 28th International Conference on Principles and Practice of Constraint Programming, CP 2022, July 31 to August 8, 2022, Haifa, Israel (pp. 1–18). https://doi.org/10.4230/LIPIcs.CP.2022.41
    Download: PDF (859 KB)
    Project: ARTIS (2017–2025)
  • Exact and meta-heuristic approaches for the production leveling problem / Vass, J., Lackner, M.-L., Mrkvicka, C., Musliu, N., & Winter, F. (2022). Exact and meta-heuristic approaches for the production leveling problem. Journal of Scheduling, 25(3), 339–370. https://doi.org/10.1007/s10951-022-00721-1
    Download: PDF (1.5 MB)
    Project: ARTIS (2017–2025)
  • An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling / Winter, F., & Musliu, N. (2022). An Investigation of Hyper-Heuristic Approaches for Teeth Scheduling. In MIC 2022: 14th Metaheuristics International Conference. 14th Metaheuristics International Conference (MIC 2022), Ortigia-Syracuse, Italy. Springer.
    Project: ARTIS (2017–2025)
  • Modeling and Solving the K-track Assignment Problem / Preininger, J., Winter, F., & Musliu, N. (2022). Modeling and Solving the K-track Assignment Problem. In 14th Metaheuristics International Conference. MIC 2022 - 14th Metaheuristics International Conference, Ortigia-Syracuse, Italy. Springer. http://hdl.handle.net/20.500.12708/142199
    Project: ARTIS (2017–2025)
  • A Hybrid Approach for Paint Shop Scheduling in the Automotive Supply Industry / Winter, F., & Musliu, N. (2022). A Hybrid Approach for Paint Shop Scheduling in the Automotive Supply Industry. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 317–320). http://hdl.handle.net/20.500.12708/142193
    Project: ARTIS (2017–2025)
  • Solving the Production Leveling Problem with Order-Splitting and Resource Constraints / Vass, J., Musliu, N., & Winter, F. (2022). Solving the Production Leveling Problem with Order-Splitting and Resource Constraints. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 261–284). http://hdl.handle.net/20.500.12708/142211
    Project: ARTIS (2017–2025)
  • Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach / Lackner, M.-L., Musliu, N., & Winter, F. (2022). Solving an Industrial Oven Scheduling Problem with a Simulated Annealing Approach. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 115–120). http://hdl.handle.net/20.500.12708/142210
    Project: ARTIS (2017–2025)

2021

  • Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem / Lackner, M.-L., Mrkvicka, C., Musliu, N., Walkiewicz, D., & Winter, F. (2021). Minimizing Cumulative Batch Processing Time for an Industrial Oven Scheduling Problem. In 27th International Conference on Principles and Practice of Constraint Programming, {CP} 2021, Montpellier, France (Virtual Conference), October 25-29, 2021} (pp. 37:1-37:18). https://doi.org/10.4230/LIPIcs.CP.2021.37
    Project: ARTIS (2017–2025)
  • Automated configuration of parallel machine dispatching rules by machine learning / Faustmann, G., Mrkvicka, C., Musliu, N., & Winter, F. (2021). Automated configuration of parallel machine dispatching rules by machine learning. In Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2021 - Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France. https://doi.org/10.1145/3449726.3459541
    Project: ARTIS (2017–2025)
  • Solving the paintshop scheduling problem with memetic algorithms / Musliu, N., Weintritt, W., & Winter, F. (2021). Solving the paintshop scheduling problem with memetic algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2021 - Genetic and Evolutionary Computation Conference, Companion Volume, Lille, France. https://doi.org/10.1145/3449639.3459375
    Project: ARTIS (2017–2025)
  • Automated Production Scheduling for Artificial Teeth Manufacturing / Mrkvicka, C., Musliu, N., Preininger, J., & Winter, F. (2021). Automated Production Scheduling for Artificial Teeth Manufacturing. In Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, {ICAPS} 2021, Guangzhou, China (virtual), August 2-13, 2021}, (pp. 500–508). http://hdl.handle.net/20.500.12708/58583
    Project: ARTIS (2017–2025)
  • Automated scheduling for automotive supplier paint shops and teeth manufacturing / Winter, F. (2021). Automated scheduling for automotive supplier paint shops and teeth manufacturing [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.100623
    Download: PDF (1.7 MB)
  • A large neighborhood search approach for the paint shop scheduling problem / Winter, F., & Musliu, N. (2021). A large neighborhood search approach for the paint shop scheduling problem. Journal of Scheduling, 25(4), 453–475. https://doi.org/10.1007/s10951-021-00713-7
    Project: ARTIS (2017–2025)
  • Exact and metaheuristic approaches for unrelated parallel machine scheduling / Moser, M., Musliu, N., Schaerf, A., & Winter, F. (2021). Exact and metaheuristic approaches for unrelated parallel machine scheduling. Journal of Scheduling, 25(5), 507–534. https://doi.org/10.1007/s10951-021-00714-6
    Project: ARTIS (2017–2025)
  • Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry / Winter, F., & Musliu, N. (2021). Constraint-based Scheduling for Paint Shops in the Automotive Supply Industry. ACM Transactions on Intelligent Systems and Technology, 12(2), 1–25. https://doi.org/10.1145/3430710
    Project: ARTIS (2017–2025)
  • Physician Scheduling During a Pandemic / Geibinger, T., Kletzander, L., Krainz, M., Mischek, F., Musliu, N., & Winter, F. (2021). Physician Scheduling During a Pandemic. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 456–465). https://doi.org/10.1007/978-3-030-78230-6_29
    Project: ARTIS (2017–2025)

2020

  • Explaining Propagators for String Edit Distance Constraints / Musliu, N., Winter, F., & Stuckey, P. J. (2020). Explaining Propagators for String Edit Distance Constraints. In Proceedings of the AAAI Conference on Artificial Intelligence (pp. 1676–1683). https://doi.org/10.1609/aaai.v34i02.5530
    Project: ARTIS (2017–2025)

2019

  • Solution Approaches for an Automotive Paint Shop Scheduling Problem / Winter, F., Musliu, N., Mrkvicka, C., & Demirovic, E. (2019). Solution Approaches for an Automotive Paint Shop Scheduling Problem. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, {ICAPS} 2019 (pp. 573–581). AAAI Press. http://hdl.handle.net/20.500.12708/57874
    Project: ARTIS (2017–2025)
  • Exact Methods for a Paint Shop Scheduling Problem from the Automotive Supply Industry / Winter, F., & Musliu, N. (2019). Exact Methods for a Paint Shop Scheduling Problem from the Automotive Supply Industry. CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece. http://hdl.handle.net/20.500.12708/86907
    Project: ARTIS (2017–2025)
  • Modeling and solving staff scheduling with partial weighted maxSAT / Demirovic, E., Musliu, N., & Winter, F. (2019). Modeling and solving staff scheduling with partial weighted maxSAT. Annals of Operations Research, 275(1), 79–99. https://doi.org/10.1007/s10479-017-2693-y

2018

  • Paint Shop Scheduling in the Automotive Supply Industry / Winter, F., Musliu, N., Demirovic, E., & Mrkvicka, C. (2018). Paint Shop Scheduling in the Automotive Supply Industry. In 29th European Conference on Operational Research (p. 161). http://hdl.handle.net/20.500.12708/57470
    Project: ARTIS (2017–2025)
  • Modeling and Solving an Automotive Paint Shop Scheduling Problem / Winter, F., Musliu, N., Demirovic, E., & Mrkvicka, C. (2018). Modeling and Solving an Automotive Paint Shop Scheduling Problem. In 12th International Conference on the Practice and Theory of Automated Timetabling (pp. 477–480). http://hdl.handle.net/20.500.12708/57476
    Project: ARTIS (2017–2025)
  • Solution-Based Phase Saving and MaxSAT for Employee Scheduling: A Computational Study / Winter, F., Musliu, N., Demirovic, E., & Stuckey, P. J. (2018). Solution-Based Phase Saving and MaxSAT for Employee Scheduling: A Computational Study. In 12th International Conference on the Practice and Theory of Automated Timetabling (pp. 453–457). http://hdl.handle.net/20.500.12708/57475
    Project: ARTIS (2017–2025)

2017

2016

 

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