Publications: Maria Bresich

[1]	Revisiting Large Neighborhood Search with On-the-Fly ChargingStation Insertion for the Electric Autonomous Dial-a-Ride Problem M. Bresich, Günther R. Raidl, Steffen Limmer ACM Transactions on Evolutionary Learning and Optimization, volume 6, number 2, pages 1–31, 2026. [bibtex] [pdf] [doi]
[2]	A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem Laurenz Tomandl, Maria Bresich, Günther R. Raidl, Yi, Mei, Steffen Limmer, Tobias Rodemann Machine Learning, Optimization, and Data Science – LOD 2025 (Giuseppe Nicosia, Varunand Giesselbach, Sven Ojha, M. Panos Pardalos, Renato Umeton, La Malfa Emanuele, La Malfa Gabriele, eds.), volume 16467 of LNCS, pages 425-439, 2026, Springer. [bibtex] [doi]
[3]	Determining Destroy Sets in Large Neighborhood Search by Generative Flow Networks M. Bresich, Jingyi Peng, G. R. Raidl, S. Limmer Parallel Problem Solving from Nature – PPSN XIX, volume 16985 of LNCS, pages 265–281, 2026, Springer. [bibtex] [doi]
[4]	Search Space Reduction Through Machine Learning for the Electric Autonomous Dial-A-Ride Problem M. Bresich, Günther R., Caspian Coleman, Pascal Welke, Steffen Limmer Machine Learning, Optimization, and Data Science – LOD 2025, volume 16467 of LNCS, pages 185–200, 2026, Springer. [bibtex] [doi]

[1]

Improvements in Large Neighborhood Search for the Electric Autonomous Dial-a-Ride Problem
Maria Bresich, Günther R. Raidl, Steffen Limmer
Computer Aided Systems Theory – EUROCAST 2024 (Alexis Quesada-Arencibia, Michael Affenzeller, Roberto Moreno-Díaz, eds.), volume 15172 of LNCS, pages 211–220, 2025, Springer.
[bibtex] [pdf] [doi]

[1]	Letting a Large Neighborhood Search for an Electric Dial-A-Ride Problem Fly: On-The-Fly Charging Station Insertion Maria Bresich, Günther R. Raidl, Steffen Limmer Proceedings of the Genetic and Evolutionary Computation Conference, pages 142–150, 2024, Association for Computing Machinery. Note: best paper award winner of ECOM track [bibtex] [pdf] [doi]
[2]	Mixed Integer Linear Programming Based Large Neighborhood Search Approaches for the Directed Feedback Vertex Set Problem Maria Bresich, Johannes Varga, Günther R. Raidl, Steffen Limmer Metaheuristics and Nature Inspired Computing (Bernabé Dorronsoro, Rachid Ellaia, El-Ghazali Talbi, eds.), pages 3–20, 2024, Springer. [bibtex] [pdf] [doi]

[1]	Hybrid Metaheuristics Based on Large Neighborhood Search and Mixed Integer Linear Programming for the Directed Feedback Vertex Set Problem Maria Bresich January 2023, Master's thesis, TU Wien, Institute of Logic and Computation. Note: supervised by G. Raidl and J. Varga [pdf]