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Lucas Kletzander

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

Lucas Kletzander

Role

Contact

2024W

2025S

 

2024

  • Pareto Front Approximation Results for Bus Driver Scheduling with Complex Constraints / Frohner, N., Mugdan, E., Kletzander, L., & Musliu, N. (2024, October 20). Pareto Front Approximation Results for Bus Driver Scheduling with Complex Constraints [Conference Presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de Compostela, Spain. http://hdl.handle.net/20.500.12708/210368
    Project: ARTIS (2017–2025)
  • Towards Multi-Objective Optimization for Rotating Workforce Scheduling / Mugdan, E., Frohner, N., Kletzander, L., & Musliu, N. (2024, October 20). Towards Multi-Objective Optimization for Rotating Workforce Scheduling [Conference Presentation]. Multi-Objective Decision Making Workshop at ECAI 2024, Santiago de compostela, Spain. http://hdl.handle.net/20.500.12708/208780
    Project: ARTIS (2017–2025)
  • Hyper-heuristics for personnel scheduling domains / Kletzander, L., & Musliu, N. (2024). Hyper-heuristics for personnel scheduling domains. Artificial Intelligence, 334, Article 104172. https://doi.org/10.1016/j.artint.2024.104172
    Project: ARTIS (2017–2025)
  • Instance Space Analysis for the Bus Driver Scheduling Problem / Mannelli Mazzoli, T., Kletzander, L., Musliu, N., & Smith-Miles, K. (2024). Instance Space Analysis for the Bus Driver Scheduling Problem. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 20–35).
  • Combining Aircraft Maintenance Routing with a Distribution Objective / Kletzander, L., Gjergji, I., & Musliu, N. (2024). Combining Aircraft Maintenance Routing with a Distribution Objective. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 325–328).
    Project: ARTIS (2017–2025)
  • AI Techniques for Solving Scheduling Problems / Musliu, N., Kletzander, L., & Mischek, F. (2024, June 3). AI Techniques for Solving Scheduling Problems [Presentation]. 34th International Conference on Automated Planning and Scheduling (ICAPS 2024), Banaff, Alberta, Canada. http://hdl.handle.net/20.500.12708/210992
    Project: ARTIS (2017–2025)
  • Investigating Large Neighbourhood Search for Bus Driver Scheduling / Mazzoli, T. M., Kletzander, L., Van Hentenryck, P., & Musliu, N. (2024). Investigating Large Neighbourhood Search for Bus Driver Scheduling. In S. Bernardini & C. Muise (Eds.), Vol. 34 (2024): Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling (pp. 360–368). AAAI Press. https://doi.org/10.1609/icaps.v34i1.31495
  • A Decision Support System Prototype for Automated Bus Driver Scheduling / Frohner, N., Mugdan, E., Kletzander, L., & Musliu, N. (2024). A Decision Support System Prototype for Automated Bus Driver Scheduling. In Proceedings of the 14th International Conference on the Practice and Theory of Automated Timetabling, PATAT 2024 (pp. 259–262).
    Project: ARTIS (2017–2025)

2023

  • Dynamic Weight Setting for Personnel Scheduling with Many Objectives / Kletzander, L., & Musliu, N. (2023). Dynamic Weight Setting for Personnel Scheduling with Many Objectives. In S. Koenig, R. Stern, & M. Vallati (Eds.), Proceedings of the Thirty-Third International Conference on Automated  Planning and Scheduling (pp. 509–517). AAAI Press. https://doi.org/10.1609/icaps.v33i1.27231
    Download: PDF (152 KB)
    Project: ARTIS (2017–2025)
  • Large-State Reinforcement Learning for Hyper-Heuristics / Kletzander, L., & Musliu, N. (2023). Large-State Reinforcement Learning for Hyper-Heuristics. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (pp. 12444–12452). AAAI Press. https://doi.org/10.1609/aaai.v37i10.26466
    Download: All rights reserved (134 KB)
    Project: ARTIS (2017–2025)

2022

2021

  • Instance space analysis for a personnel scheduling problem / Kletzander, L., Musliu, N., & Smith-Miles, K. (2021). Instance space analysis for a personnel scheduling problem. Annals of Mathematics and Artificial Intelligence, 89(7), 617–637. https://doi.org/10.1007/s10472-020-09695-2
    Download: PDF (4.52 MB)
    Project: ARTIS (2017–2025)
  • Branch and Price for Bus Driver Scheduling with Complex Break Constraints / Kletzander, L., Musliu, N., & Van Hentenryck, P. (2021). Branch and Price for Bus Driver Scheduling with Complex Break Constraints. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, {IAAI} 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, {EAAI} 2021, Virtual Event, February 2-9, 2021 (pp. 11853–11861). http://hdl.handle.net/20.500.12708/58590
    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

2019

  • Solving the Torpedo Scheduling Problem / Geiger, M. J., Kletzander, L., & Musliu, N. (2019). Solving the Torpedo Scheduling Problem. Journal of Artificial Intelligence Research, 66, 1–32. https://doi.org/10.1613/jair.1.11303
    Project: ARTIS (2017–2025)
  • Exact Methods for Extended Rotating Workforce Scheduling Problems / Kletzander, L., Musliu, N., Gärtner, J., Krennwallner, J., & Schafhauser, W. (2019). Exact Methods for Extended Rotating Workforce Scheduling Problems. In Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, {ICAPS} 2018, Berkeley, CA, USA, July 11-15, 2019 (pp. 519–527). AAAI Press. http://hdl.handle.net/20.500.12708/57873
    Project: ARTIS (2017–2025)
  • Modelling and Solving the Minimum Shift Design Problem / Kletzander, L., & Musliu, N. (2019). Modelling and Solving the Minimum Shift Design Problem. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research 16th International Conference, CPAIOR 2019, Thessaloniki, Greece, June 4–7, 2019, Proceedings. CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece. Springer. https://doi.org/10.1007/978-3-030-19212-9_26
    Project: ARTIS (2017–2025)
  • Instance Space Analysis for a Personnel Scheduling Problem / Kletzander, L., Musliu, N., & Smith-Miles, K. (2019). Instance Space Analysis for a Personnel Scheduling Problem. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI} 2019 (pp. 1–8). http://hdl.handle.net/20.500.12708/57880
    Project: ARTIS (2017–2025)

2018

2017