TU Wien Informatics

20 Years

Role

2023W

2024S

 

  • 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: All rights reserved (152 KB)
    Project: ARTIS (2017–2024)
  • 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 (2017–2024)
  • Hyper-Heuristics for Personnel Scheduling Domains / Kletzander, L., & Musliu, N. (2022). Hyper-Heuristics for Personnel Scheduling Domains. In Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling (pp. 462–470). AAAI Press. https://doi.org/10.1609/icaps.v32i1.19832
    Project: ARTIS (2017–2024)
  • Automated solution methods for complex real-life personnel scheduling problems / Kletzander, L. (2022). Automated solution methods for complex real-life personnel scheduling problems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108382
    Download: PDF (2.79 MB)
  • 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 (2017–2024)
  • 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 (2017–2024)
  • 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 (2017–2024)
  • Solving the general employee scheduling problem / Kletzander, L., & Musliu, N. (2020). Solving the general employee scheduling problem. Computers and Operations Research, 113(104794), 104794. https://doi.org/10.1016/j.cor.2019.104794
    Project: ARTIS (2017–2024)
  • Instance space analysis for a personnel scheduling problem / Kletzander, L., Musliu, N., & Smith-Miles, K. (2020). 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
    Project: ARTIS (2017–2024)
  • Solving Large Real-Life Bus Driver Scheduling Problems with Complex Break Constraints / Kletzander, L., & Musliu, N. (2020). Solving Large Real-Life Bus Driver Scheduling Problems with Complex Break Constraints. In Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, Nancy, France, October 26-30, 2020 (pp. 421–430). http://hdl.handle.net/20.500.12708/55565
    Project: ARTIS (2017–2024)
  • 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 (2017–2024)
  • 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 (2017–2024)
  • 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 (2017–2024)
  • Modelling and Solving the Minimum Shift Design Problem / Kletzander, L., & Musliu, N. (2019). Modelling and Solving the Minimum Shift Design Problem. In Lecture Notes in Computer Science. CPAIOR 2019 - 16th International Conference on the Integration of Constraint Programming, Artificial Intelligence and Operations Research, Thessaloniki, Greece, EU. Springer. https://doi.org/10.1007/978-3-030-19212-9
    Project: ARTIS (2017–2024)
  • A Heuristic solver framework for the general employee scheduling problem / Kletzander, L. (2018). A Heuristic solver framework for the general employee scheduling problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.51761
    Download: PDF (888 KB)
  • Solving the General Employee Scheduling Problem / Kletzander, L., & Musliu, N. (2018). Solving the General Employee Scheduling Problem. In 12th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2018 (pp. 1–36). http://hdl.handle.net/20.500.12708/57573
    Project: ARTIS (2017–2024)
  • A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem / Kletzander, L., & Musliu, N. (2017). A Multi-stage Simulated Annealing Algorithm for the Torpedo Scheduling Problem. In Integration of AI and OR Techniques in Constraint Programming (pp. 344–358). Lecture Notes in Computer Science (LNCS) / Springer. https://doi.org/10.1007/978-3-319-59776-8_28
    Project: ARTE (2012–2017)