2023W

• Bachelor Thesis / 184.691 / PR
• Theoretical Computer Science / 192.017 / VU

2024S

• Bachelor Thesis / 184.691 / PR
• Problem Solving and Search in Artificial Intelligence / 181.190 / VU

• CD Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling
  2017 – 2024 / Christian Doppler Research Association (CDG)
  Publications: 136808 / 139849 / 138379 / 138399 / 138400 / 138528 / 138530 / 144345 / 142199 / 142211 / 142210 / 142193 / 141227 / 141228 / 143220 / 143222 / 190688 / 191173 / 193566 / 192686 / 192678 / 24775 / 55565 / 55636 / 57470 / 57475 / 57476 / 57570 / 57572 / 57573 / 57872 / 57873 / 57874 / 57876 / 57878 / 57880 / 58293 / 58340 / 58583 / 58584 / 58585 / 58586 / 58590 / 58591 / 86907 / 87083

• 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)
• 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. Springer. https://doi.org/10.1007/978-3-030-19212-9
  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)
• 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)