Lucas Kletzander
Univ.Ass. Dipl.-Ing. Dr.techn. / BSc
Role
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PostDoc Researcher
Databases and Artificial Intelligence, E192-02
Courses
2023W
- Bachelor Thesis / 184.691 / PR
- Theoretical Computer Science / 192.017 / VU
2024S
- Problem Solving and Search in Artificial Intelligence / 181.190 / VU
Projects
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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 / 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
Publications
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Automated Solution Methods for Complex Real-life Personnel Scheduling Problems
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Kletzander, L. (2023). 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) -
Hyper-Heuristics for Personnel Scheduling Domains
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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) -
Instance space analysis for a personnel scheduling problem
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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)