Ravelijn

dr.ir. W.J.A. van Heeswijk (Wouter)

Universitair docent
BMS-HBE-IEBIS
Ravelijn 3351
w.j.a.vanheeswijk@utwente.nl
+31534898460
Visitekaartje

Expertises

  • Social Sciences

    • Logistics
    • Simulation
    • Costs
    • Problem

  • Computer Science

    • Dynamic Programming
    • Reinforcement Learning
    • Function Approximation
    • Models

Organisaties

Publicaties

2025

Strategic bidding in freight transport using deep reinforcement learning (2025)Annals of operations research, 350(1), 131-168. van Heeswijk, W. J. A.https://doi.org/10.1007/s10479-022-04572-zMachine Learning Predictions for Traffic Equilibria in Road Renovation Scheduling (2025)[Working paper › Preprint]. ArXiv.org. Bosch, R., van Heeswijk, W., Rogetzer, P. & Mes, M.https://doi.org/10.48550/arXiv.2506.05933The Stochastic Dynamic Postdisaster Inventory Allocation Problem with Trucks and UAVs (2025)Transportation science, 59(2), 360-390. van Steenbergen, R. M., van Heeswijk, W. J. A. & Mes, M. R. K.https://doi.org/10.1287/trsc.2023.0438

2024

Evaluation and Coordination of UAVs in Humanitarian Logistics (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Steenbergen, R. M.https://doi.org/10.3990/1.9789036562232Group Workshop as a “Human-Centered Approach” for Identification and Selection of Business Processes for Robotic Process Automation (2024)In Towards Digital and Sustainable Organisations - People, Platforms, and Ecosystems (pp. 103-122) (Lecture Notes in Information Systems and Organisation; Vol. 65 LNISO). Springer. Berghuis, L., Abhishta, A., van Heeswijk, W. & Tursunbayeva, A.https://doi.org/10.1007/978-3-031-52880-4_7Towards self-organizing logistics in transportation: a literature review and typology (2024)International transactions in operational research, 31(3), 1309-1374. Gerrits, B., van Heeswijk, W. & Mes, M.https://doi.org/10.1111/itor.13408Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces (2024)[Contribution to conference › Paper] 12th International Conference on Learning Representations, ICLR 2024. Akkerman, F., Luy, J., van Heeswijk, W. & Schiffer, M.

2023

Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty (2023)Transportation research. Part C: Emerging technologies, 157. Article 104401. van Steenbergen, R. M., Mes, M. & van Heeswijk, W. J. A.https://doi.org/10.1016/j.trc.2023.104401The Stochastic Dynamic Post-Disaster Inventory Allocation Problem with Trucks and UAVs (2023)[Working paper › Working paper]. ArXiv.org. van Steenbergen, R. M., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.48550/arXiv.2312.00140The Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian Logistics (2023)In 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. van Steenbergen, R. M., Lalla-Ruiz, E., van Heeswijk, W. J. A. & Mes, M.https://doi.org/10.1007/978-3-031-43612-3_17

Onderzoeksprofielen

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