Publications: Laurenz Tomandl

2026

A Reinforcement Learning Guided Large Neighborhood Search for the Dynamic Electric Autonomous Dial-a-Ride Problem

Tomandl, Laurenz, Bresich, Maria, Raidl, Günther R., Mei, Yi, Limmer, Steffen, Rodemann, Tobias

Machine Learning, Optimization, and Data Science (Nicosia, Giuseppe and Ojha, Varun and Giesselbach, Sven and Pardalos, M. Panos and Umeton, Renato and Emanuele, La Malfa and Gabriele, La Malfa), pages 425–439, 2026, Springer Nature Switzerland.

2025

Genetic Programming Hyper-Heuristic for the Dynamic Electric Dial-a-Ride Problem

Huang, William, Mei, Yi, Raidl, Günther, Zhang, Fangfang, Tomandl, Laurenz, Limmer, Steffen, Zhang, Mengjie, Rodemann, Tobias

2025 IEEE Congress on Evolutionary Computation (CEC), pages 1-8, 2025, IEEE.

PDF DOI

A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem

Tomandl, Laurenz, Jatschka, Thomas, Raidl, Günther, Rodemann, Tobias

Computer Aided Systems Theory – EUROCAST 2024 (Quesada-Arencibia, Alexis and Affenzeller, Michael and Moreno-Díaz, Roberto), volume 15172 of LNCS, pages 251–262, 2025, Springer.

DOI

2023

A Learning Multilevel Optimization Approach for a Large Location Allocation Problem

Laurenz Tomandl

May 2023, Master's thesis, TU Wien, Institute of Logic and Computation.
Note: supervised by G. Raidl and T. Jatschka

PDF

2022

A Reproducibility Study on User-centric MIR Research and Why it is Important

Peter Knees, Bruce Ferwerda, Andreas Rauber, Sebastian Strumbelj, Annabel Resch, Laurenz Tomandl, Valentin Bauer, Fung Yee Tang, Josip Bobinac, Amila Ceranic, Riad Dizdar

pages 764–771, 2022, International Society for Music Information Retrieval.