2025W

• Heuristic Optimization Techniques / 192.162 / VU

• Study on Configuration Support for Hierarchical Schedulers
  2025 – 2026 / Honda Research Institute Europe Gmb

• A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem / Tomandl, L. (2025, November 6). A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem [Presentation]. Austrian Workshop on Metaheuristics and Machine Learning 2025 (AWMHML 2025), Wien, Austria. http://hdl.handle.net/20.500.12708/225750
• A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem / Tomandl, L., Jatschka, T., Raidl, G., & Rodemann, T. (2025). A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem. In A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz (Eds.), Computer Aided Systems Theory – EUROCAST 2024 : 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part I (pp. 251–262). Springer. https://doi.org/10.1007/978-3-031-82949-9_23
• Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem / Huang, W., Mei, Y., Raidl, G. R., Zhang, F., Tomandl, L., Limmer, S., Zhang, M., & Rodemann, T. (2025). Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem. In 2025 IEEE Congress on Evolutionary Computation (CEC). Congress on Evolutionary Computation (CEC 2025), Hangzhou, China. IEEE. https://doi.org/10.1109/CEC65147.2025.11042942
• A learning multilevel optimization approach for a large location allocation problem / Tomandl, L. (2023). A learning multilevel optimization approach for a large location allocation problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.108220
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• A Reproducibility Study on User-centric MIR Research and Why it is Important / Knees, P., Ferwerda, B., Rauber, A., Strumbelj, S., Resch, A., Tomandl, L., Bauer, V., Tang, F. Y., Bobinac, J., Ceranic, A., & Dizdar, R. (2022). A Reproducibility Study on User-centric MIR Research and Why it is Important. In P. Rao, H. Murthy, A. Srinivasamurthy, R. Bittner, R. Caro Repetto, M. Goto, X. Serra, & M. Miron (Eds.), Proceedings of the 23rd International Society for Music Information Retrieval (ISMIR) Conference (pp. 764–771). International Society for Music Information Retrieval. https://doi.org/10.5281/zenodo.7316775
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  Project: HumRec (2021–2025)