Expertise
Engineering & Materials Science
# Autonomous Agents
# Consolidation
# Dynamic Programming
# Logistics
# Supply Chains
Business & Economics
# Consolidation
Mathematics
# Reinforcement Learning
# Serious Games
Organisations
Publications
Recent
Abhishta, A., Berghuis, L.
, van Heeswijk, W.
, & Tursunbayeva, A. (2023).
Methodology for Evaluating the Appropriateness of a Business Process for Robotic Process Automation. In
Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges (pp. 105-133). Taylor & Francis.
https://doi.org/10.4324/9781003304616-8
Gerrits, B.
, van Heeswijk, W.
, & Mes, M. (2023).
Towards self-organizing logistics in transportation: a literature review and typology.
International transactions in operational research. Advance online publication.
https://doi.org/10.1111/itor.13408
van Steenbergen, R. M.
, Mes, M.
, & van Heeswijk, W. J. A. (2023).
Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty.
Transportation Research Part C: Emerging Technologies,
157, Article 104401.
https://doi.org/10.1016/j.trc.2023.104401
Bosch, R.
, Rogetzer, P.
, van Heeswijk, W. J. A.
, & Mes, M. (2023).
Scheduling Urban Infrastructure Renovation Projects to Minimize Traffic Disruption. In
14th International Conference on Computational Logistics
van Steenbergen, R. M.
, Lalla-Ruiz, E.
, van Heeswijk, W. J. A.
, & Mes, M. (2023).
The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics. In J. R. Daduna, G. Liedtke, X. Shi, & S. Voß (Eds.),
Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291). (Lecture Notes in Computer Science; Vol. 14239). Springer.
https://doi.org/10.1007/978-3-031-43612-3_17
Akkerman, F., Luy, J.
, Heeswijk, W. V., & Schiffer, M. (2023).
Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction. ArXiv.org.
https://arxiv.org/abs/2305.19891
Piest, J. P. S., Slavova, S.
, & van Heeswijk, W. J. A. (2023).
A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking. In
Proceedings of the 22nd CIAO! Doctoral Consortium, and Enterprise Engineering Working Conference Forum 2022 co-located with 12th Enterprise Engineering Working Conference (EEWC 2022) (pp. 1-15). Article 1 (CEUR Workshop Proceedings; Vol. 3388). CEUR.
https://ceur-ws.org/Vol-3388/paper1.pdf
van Heeswijk, W. J. A. (2022).
Strategic bidding in freight transport using deep reinforcement learning.
Annals of operations research. Advance online publication.
https://doi.org/10.1007/s10479-022-04572-z
Slavova, S.
, Piest, J. P. S.
, & van Heeswijk, W. J. A. (2022).
Predicting truck parking occupancy using machine learning.
Procedia computer science,
201, 40-47.
https://doi.org/10.1016/j.procs.2022.03.008
van Heeswijk, W., & La Poutre, H. (2021).
Deep reinforcement learning in linear discrete action spaces. In K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, & R. Thiesing (Eds.),
Proceedings of the 2020 Winter Simulation Conference, WSC 2020 (pp. 1063-1074). Article 9384078 (Proceedings - Winter Simulation Conference; Vol. 2020). IEEE.
https://doi.org/10.1109/WSC48552.2020.9384078
UT Research Information System
Courses Academic Year 2023/2024
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2022/2023
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands