Maria Bresich
Projektass.in Dipl.-Ing.in / BSc
Role
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PreDoc Researcher
Algorithms and Complexity, E192-01
Publications
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Determining Destroy Sets in Large Neighborhood Search by Generative Flow Networks
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Bresich, M., Peng, J., Raidl, G. R., & Limmer, S. (2026). Determining Destroy Sets in Large Neighborhood Search by Generative Flow Networks. In G. Iacca, G. Nadizar, A. Yaman, D. Bucur, A. Della Cioppa, T. Hu, E. Medvet, & S. L. Thomson (Eds.), Parallel Problem Solving from Nature – PPSN XIX : 19th International Conference, PPSN 2026, Trento, Italy, August 29 – September 2, 2026, Proceedings, Part I (pp. 265–281). Springer. https://doi.org/10.1007/978-3-032-36214-8_17
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) - Dataset of electric autonomous dial-a-ride instances with local energy communities and electricity tariffs / Almeida, J., Limmer, S., Soares, J., Bresich, M., Raidl, G., & Vale, Z. (2026). Dataset of electric autonomous dial-a-ride instances with local energy communities and electricity tariffs. Data in Brief, 67, Article 113063. https://doi.org/10.1016/j.dib.2026.113063
- Revisiting Large Neighborhood Search with On-the-Fly Charging Station Insertion for the Electric Autonomous Dial-a-Ride Problem / Bresich, M., Raidl, G. R., & Limmer, S. (2026). Revisiting Large Neighborhood Search with On-the-Fly Charging Station Insertion for the Electric Autonomous Dial-a-Ride Problem. ACM Transactions on Evolutionary Learning and Optimization, 6(2), 1–31. https://doi.org/10.1145/3779426
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A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem
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Tomandl, L., Bresich, M., Raidl, G. R., Mei, Y., Limmer, S., & Rodemann, T. (2026). A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem. In G. Nicosia, V. Ojha, S. Giesselbach, Panos M. Pardalos, R. Umeton, E. La Malfa, & G. La Malfa (Eds.), Machine Learning, Optimization, and Data Science : 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21–24, 2025, Revised Selected Papers, Part II (pp. 425–439). Springer. https://doi.org/10.1007/978-3-032-21480-5_28
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem
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Bresich, M., Raidl, G. R., Coleman, C., Welke, P., & Limmer, S. (2026). Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem. In G. Nicosia, V. Ojha, S. Giesselbach, P. Pardalos, R. Umeton, E. La Malfa, & G. La Malfa (Eds.), Machine Learning, Optimization, and Data Science : 11th International Conference, LOD 2025, Castiglione della Pescaia, Italy, September 21–24, 2025, Revised Selected Papers, Part II (pp. 185–200). Springer. https://doi.org/10.1007/978-3-032-21480-5_13
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem
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Bresich, M. (2025, November 6). Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem [Presentation]. Austrian Workshop on Metaheuristics and Machine Learning 2025 (AWMHML 2025), Wien, Austria. http://hdl.handle.net/20.500.12708/225697
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem
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Bresich, M., Raidl, G. R., & Limmer, S. (2025). Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem. In A. Quesada-Arencibia, M. Affenzeller, & R. Moreno-Díaz (Eds.), Computer Aided Systems Theory – EUROCAST 2024 : 9th International Conference : Revised Selected Papers, Part I (pp. 211–220). Springer. https://doi.org/10.1007/978-3-031-82949-9_20
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem
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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
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Learning to Solve Dynamic Vehicle Routing Problems
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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.
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Large Neighborhood Search for an Electric Dial-A-Ride Problem
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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.
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion
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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
Project: Learning to Solve Dynamic Vehicle Routing Problems (2023–2027) -
Hybrid metaheuristics based on large neighborhood search and mixed integer linear programming for the directed feedback vertex set problem
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Bresich, M. (2023). Hybrid metaheuristics based on large neighborhood search and mixed integer linear programming for the directed feedback vertex set problem [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102404
Download: PDF (1.66 MB)
Supervisions
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Optimizing elevator control with a destination registration system
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Kompauer, J. (2025). Optimizing elevator control with a destination registration system [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.114420
Download: PDF (1.36 MB)