Nikolaus Frohner
Projektass. Dipl.-Ing. Dr.techn. / BSc
Role
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PostDoc Researcher
Databases and Artificial Intelligence, E192-02
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 / 190688 / 191173 / 193566 / 192686 / 192678 / 203673 / 204355 / 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
- Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines / Frohner, N., Raidl, G., & Chicano, F. (2023). Multi-Objective Policy Evolution for a Same-Day Delivery Problem with Soft Deadlines. In GECCO ’23 Companion: Proceedings of the Companion Conference on Genetic and Evolutionary Computation (pp. 1941–1949). Association for Computing Machinery. https://doi.org/10.1145/3583133.3596381
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Parallel Beam Search for Combinatorial Optimization
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Frohner, N., Gmys, J., Melab, N., Raidl, G., & Talbi, E.-G. (2023). Parallel Beam Search for Combinatorial Optimization. In The 51st International Conference on Parallel Processing. Workshop Proceedings. 51st International Conference on Parallel Processing (ICPP ’22), Bordeaux, France. Association for Computing Machinery. https://doi.org/10.1145/3547276.3548633
Download: PDF (649 KB) -
Advancing state space search for static and dynamic Optimization by parallelization and learning
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Frohner, N. (2023). Advancing state space search for static and dynamic Optimization by parallelization and learning [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.113960
Download: PDF (4.89 MB) - Approaching the Traveling Tournament Problem with Randomized Beam Search / Frohner, N., Neumann, B., Pace, G., & Raidl, G. R. (2023). Approaching the Traveling Tournament Problem with Randomized Beam Search. Evolutionary Computation, 31(3), 233–257. https://doi.org/10.1162/evco_a_00319
- Parallel Beam Search for Combinatorial Optimization (Extended Abstract) / Frohner, N., Gmys, J., MELAB, N., Raidl, G., & Talbi, E. (2022). Parallel Beam Search for Combinatorial Optimization (Extended Abstract). In Fifteenth International Symposium on Combinatorial Search (pp. 273–275). https://doi.org/10.1609/socs.v15i1.21783
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Learning Value Functions for Same-Day Delivery Problems
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Frohner, N., & Raidl, G. (2022). Learning Value Functions for Same-Day Delivery Problems. In Extended Abstracts of the 18th International Conference on Computer Aided Systems Theory (EUROCAST 2022) (pp. 20–21). http://hdl.handle.net/20.500.12708/142196
Download: PDF (510 KB) - Driver Shift Planning for an Online Store with Short Delivery Times / Horn, M., Frohner, N., & Raidl, G. R. (2021). Driver Shift Planning for an Online Store with Short Delivery Times. In Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020) (pp. 517–524). Elsevier. https://doi.org/10.1016/j.procs.2021.01.270
- Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems / Bracher, A., Frohner, N., & Raidl, G. R. (2021). Learning Surrogate Functions for the Short-Horizon Planning in Same-Day Delivery Problems. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research (pp. 283–298). LNCS / Springer. https://doi.org/10.1007/978-3-030-78230-6_18
- Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers / Frohner, N., & Raidl, G. (2020). Merging Quality Estimation for Binary Decision Diagrams with Binary Classifiers. In G. Nicosia, P. Pardalos, R. Umeton, G. GIUFFRIDA, & V. Sciacca (Eds.), Machine Learning, Optimization, and Data Science (pp. 445–457). LNCS. https://doi.org/10.1007/978-3-030-37599-7_37
- Towards Improving Merging Heuristics for Binary Decision Diagrams / Frohner, N., & Raidl, G. (2020). Towards Improving Merging Heuristics for Binary Decision Diagrams. In N. Matsatsinis, Y. (Ioannis) Marinakis, & P. Pardalos (Eds.), Learning and Intelligent Optimization : 13th International Conference, LION 13, Chania, Crete, Greece, May 27–31, 2019, Revised Selected Papers (pp. 30–45). LNCS. https://doi.org/10.1007/978-3-030-38629-0_3
- A Double-Horizon Approach to a Purely Dynamic and Stochastic Vehicle Routing Problem with Delivery Deadlines and Shift Flexibility / Frohner, N., & Raidl, G. (2020). A Double-Horizon Approach to a Purely Dynamic and Stochastic Vehicle Routing Problem with Delivery Deadlines and Shift Flexibility. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling (pp. 58–76). http://hdl.handle.net/20.500.12708/58363
- A Beam Search Approach to the Traveling Tournament Problem / Frohner, N., Neumann, B., & Raidl, G. R. (2020). A Beam Search Approach to the Traveling Tournament Problem. In Evolutionary Computation in Combinatorial Optimization (pp. 67–82). LNCS. https://doi.org/10.1007/978-3-030-43680-3_5
- Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines / Frohner, N., Horn, M., & Raidl, G. R. (2020). Route Duration Prediction in a Stochastic and Dynamic Vehicle Routing Problem with Short Delivery Deadlines. In Procedia Computer Science (pp. 366–370). Elsevier. https://doi.org/10.1016/j.procs.2021.01.175
- Casual Employee Scheduling with Constraint Programming and Metaheuristics / Frohner, N., Teuschl, S., & Raidl, G. R. (2019). Casual Employee Scheduling with Constraint Programming and Metaheuristics. In Computer Aided Systems Theory – EUROCAST 2019 (pp. 279–287). LNCS. https://doi.org/10.1007/978-3-030-45093-9_34
- Casual Employee Scheduling with Constraint Programming and Ant Colony Optimization / Frohner, N., Teuschl, S., & Raidl, G. (2019). Casual Employee Scheduling with Constraint Programming and Ant Colony Optimization. In Eurocast2019-EXTENDED ABSTRACTS (pp. 78–79). Universidad de Las Palmas de Gran Canaria. http://hdl.handle.net/20.500.12708/58361
Supervisions
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Hybrid approaches to sports league scheduling using constraint programming and simulated annealing
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Neumann, B. (2023). Hybrid approaches to sports league scheduling using constraint programming and simulated annealing [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.98488
Download: PDF (1.39 MB) -
Enhancing meta-agent conflict-based search for the multi-agent pathnding problem with informed merging and heuristics
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Ederer, I. (2022). Enhancing meta-agent conflict-based search for the multi-agent pathnding problem with informed merging and heuristics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.98487
Download: PDF (2.08 MB) -
Randomized construction approaches for the traveling tournament problem using lower bound based heuristics
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Pace, G. (2021). Randomized construction approaches for the traveling tournament problem using lower bound based heuristics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.87881
Download: PDF (1.37 MB) -
Casual employee scheduling with constraint programming and metaheuristics
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Teuschl, S. (2020). Casual employee scheduling with constraint programming and metaheuristics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.77621
Download: PDF (920 KB)