Expertises

  • Social Sciences

    • Logistics
    • Simulation
    • Costs
    • Problem
    • Urban Areas
    • Freight Transport
  • Computer Science

    • Dynamic Programming
    • Models

Organisaties

Publicaties

2023
Towards self-organizing logistics in transportation: a literature review and typologyInternational transactions in operational research (E-pub ahead of print/First online). Gerrits, B., van Heeswijk, W. & Mes, M.https://doi.org/10.1111/itor.13408Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertaintyTransportation 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 Heterogeneous Fleet Risk-Constrained Vehicle Routing Problem in Humanitarian LogisticsIn Computational Logistics: 14th International Conference, ICCL 2023, Berlin, Germany, September 6–8, 2023, Proceedings (pp. 276-291). 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_17Scheduling Urban Infrastructure Renovation Projects to Minimize Traffic DisruptionIn 14th International Conference on Computational Logistics. Bosch, R., Rogetzer, P., van Heeswijk, W. J. A. & Mes, M.Handling Large Discrete Action Spaces via Dynamic Neighborhood Construction. ArXiv.org. Akkerman, F., Luy, J., Heeswijk, W. v. & Schiffer, M.https://arxiv.org/abs/2305.19891A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck ParkingIn Proceedings of the 22nd CIAO! Doctoral Consortium, and Enterprise Engineering Working Conference Forum 2022 co-located with 12th Enterprise Engineering Working Conference (EEWC 2022), Article 1 (pp. 1-15). CEUR. Piest, J. P. S., Slavova, S. & van Heeswijk, W. J. A.https://ceur-ws.org/Vol-3388/paper1.pdfMethodology for Evaluating the Appropriateness of a Business Process for Robotic Process AutomationIn Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges (pp. 105-133). Taylor & Francis. Abhishta, A., Berghuis, L., van Heeswijk, W. & Tursunbayeva, A.https://doi.org/10.4324/9781003304616-8
2022
2021
Deep reinforcement learning in linear discrete action spacesIn Proceedings of the 2020 Winter Simulation Conference, WSC 2020, Article 9384078 (pp. 1063-1074). IEEE. van Heeswijk, W. & La Poutre, H.https://doi.org/10.1109/WSC48552.2020.9384078

Onderzoeksprofielen

Organisaties

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