TU Wien Informatics

20 Years

Günther Raidl

Ao.Univ.Prof. Dipl.-Ing. Dr.techn.

Research Focus

Research Areas

  • combinatorial optimization, metaheuristics, evolutionary computation, integer linear programming, network design, graphs, algorithms, data structures, transport logistics, Cutting and Packing, Bioinformatics, Scheduling and Timetabling, Operations Research, mathematical programming
Günther Raidl

About

1) Efficient algorithms and data structures for solving algorithmic problems. 2) Combinatorial optimization by means of exact techniques as well as heuristic methods. 3) Mathematical programming, dynamic programming, constraint programming, metaheuristics 4) Major application areas include cutting and packing, scheduling, network design, transportation logistics, bioinformatics 6) Various other topics in the field of computer algorithms, computer graphics, system software, Linux, networking, and hardware

Role

2023

  • 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
  • Large neighborhood search for electric vehicle fleet scheduling / Limmer, S., Varga, J., & Raidl, G. (2023). Large neighborhood search for electric vehicle fleet scheduling. Energies, 16(12), Article 4576. https://doi.org/10.3390/en16124576
    Download: PDF (328 KB)
  • A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning / Jatschka, T., Rodemann, T., & Raidl, G. R. (2023). A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning. In L. Pérez Cáceres & T. Stützle (Eds.), Evolutionary Computation in Combinatorial Optimization: 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023. Proceedings (pp. 50–65). Springer. https://doi.org/10.34726/5294
  • Parallel Beam Search for Combinatorial Optimization / 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)
    Project: Computational Optimization (DK) (2016–2024)
  • Optimizing the positions of battery swapping stations - Pilot studies and layout optimization algorithm - / Rodemann, T., Kataoka, H., Jatschka, T., Raidl, G., Limmer, S., & Meguro, H. (2023). Optimizing the positions of battery swapping stations - Pilot studies and layout optimization algorithm -. In EVTeC 2023: The 6th International Electric Vehicle Technology Conference (pp. 28–28).
  • An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles / Limmer, S., Varga, J., & Raidl, G. R. (2023). An Evolutionary Approach for Scheduling a Fleet of Shared Electric Vehicles. In J. G. M. Correia, S. Smith, & R. Qaddoura (Eds.), Applications of Evolutionary Computation : 26th European Conference, EvoApplications 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12–14, 2023, Proceedings (pp. 3–18). Springer. https://doi.org/10.1007/978-3-031-30229-9_1
  • 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
  • Interactive Job Scheduling with Partially Known Personnel Availabilities / Varga, J., Raidl, G. R., Rönnberg, E., & Rodemann, T. (2023). Interactive Job Scheduling with Partially Known Personnel Availabilities. In B. Dorronsoro, F. Chicano, G. Danoy, & E.-G. Talbi (Eds.), Optimization and Learning: 6th International Conference, OLA 2023, Malaga, Spain, May 3–5, 2023, Proceedings (pp. 236–247). Springer. https://doi.org/10.1007/978-3-031-34020-8_18

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  • Marie-Curie Research Training Network: Algorithmic Descrete Optimization Network (ADONET) - Austrian Coordinator
    2004 / EC Europäische Komission - Marie Curie / Website / Project

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Günther Raidl’s research profile in TISS .