Distance approximation to support customer selection in vehicle routing problems F Akkerman, M Mes Annals of operations research, 1-29, 2022 | 15 | 2022 |
Cross-docking: current research versus industry practice and industry 4.0 adoption F Akkerman, E Lalla-Ruiz, M Mes, T Spitters Smart Industry–Better Management, 69-104, 2022 | 11 | 2022 |
Distance approximation for dynamic waste collection planning F Akkerman, M Mes, W Heijnen Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 4 | 2020 |
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces F Akkerman, J Luy, W van Heeswijk, M Schiffer The Twelfth International Conference on Learning Representations, 2024 | 3* | 2024 |
Dynamic Time Slot Pricing Using Delivery Costs Approximations F Akkerman, M Mes, E Lalla-Ruiz International Conference on Computational Logistics, 214-230, 2022 | 2 | 2022 |
A Comparison of Reinforcement Learning Policies for Dynamic Vehicle Routing Problems with Stochastic Customer Requests F Akkerman, M Mes, W van Jaarsveld | 1* | 2022 |
Delivery Cost Approximations for Dynamic Time Slot Pricing FR Akkerman University of Twente, 2021 | 1 | 2021 |
Learning Dynamic Selection and Pricing of Out-of-Home Deliveries F Akkerman, P Dieter, M Mes arXiv preprint arXiv:2311.13983, 2023 | | 2023 |