Bresich, M., Raidl, G. R., & Limmer, S. (2024). Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion. In GECCO ’24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 142–150). Association for Computing Machinery. https://doi.org/10.1145/3638529.3654057 ( reposiTUm)
Bresich, M., Varga, J., Raidl, G. R., & Limmer, S. (2024). Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem. In B. Dorronsoro, R. Ellaia, & E.-G. Talbi (Eds.), Metaheuristics and Nature Inspired Computing : 9th International Conference, META 2023, Marrakech, Morocco, November 1–4, 2023, Revised Selected Papers (pp. 3–20). Springer. https://doi.org/10.1007/978-3-031-69257-4_1 ( reposiTUm)
Präsentationen
Bresich, M. (2024, August 30). Large Neighborhood Search for an Electric Dial-A-Ride Problem [Presentation]. Scientific seminar at Honda Research Institute Europe, Offenbach, Germany. ( reposiTUm)
Bresich, M., Raidl, G., Limmer, S., & Probst, M. (2024, September). Learning to Solve Dynamic Vehicle Routing Problems [Poster Presentation]. HRI European Graduate Network (EGN) Symposium, Offenbach, Germany. ( reposiTUm)
