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Lucas Kletzander

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

Lucas Kletzander

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2024W

 

  • 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).
  • 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
  • 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)
  • Metaheuristic algorithms for the bus driver scheduling problem with complex break constraints / Kletzander, L., Mazzoli, T. M., & Musliu, N. (2022). Metaheuristic algorithms for the bus driver scheduling problem with complex break constraints. In GECCO ’22: Proceedings of the Genetic and Evolutionary Computation Conference (pp. 232–240). https://doi.org/10.1145/3512290.3528876
  • 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 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 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 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 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 (2017–2024)
  • 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)