| The delivery dispatching problem with time windows for urban consolidation centers W van Heeswijk, M Mes, M Schutten Transportation Science 53 (1), 203–221, 2017 | 115 | 2017 |
| An urban consolidation center in the city of Copenhagen: A simulation study W van Heeswijk, R Larsen, A Larsen International Journal of Sustainable Transportation 13 (9), 675-691, 2019 | 107 | 2019 |
| Why would we get attacked? An analysis of attacker's aims behind DDoS attacks A Abhishta, W van Heeswijk, M Junger, LJM Nieuwenhuis, R Joosten Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable …, 2020 | 61 | 2020 |
| Evaluating Urban Logistics Schemes Using Agent-based Simulation WJA van Heeswijk, MRK Mes, JMJ Schutten, WHM Zijm Transportation Science 54 (3), 651–675, 2020 | 53 | 2020 |
| Freight consolidation in intermodal networks with reloads WJA Van Heeswijk, MRK Mes, JMJ Schutten, WHM Zijm Flexible Services and Manufacturing Journal 30 (3), 452-485, 2018 | 27 | 2018 |
| Deep reinforcement learning in linear discrete action spaces W van Heeswijk, H La Poutré 2020 Winter Simulation Conference (WSC), 1063-1074, 2020 | 20* | 2020 |
| An agent-based simulation framework to evaluate urban logistics schemes W Van Heeswijk, M Mes, M Schutten Lecture Notes in Computer Science 9855, 369-383, 2016 | 20 | 2016 |
| Reinforcement learning for humanitarian relief distribution with trucks and UAVs under travel time uncertainty R Van Steenbergen, M Mes, W Van Heeswijk Transportation Research Part C: Emerging Technologies 157, 104401, 2023 | 17 | 2023 |
| Transportation Management W van Heeswijk, M Mes, M Schutten Operations, Logistics and Supply Chain Management, 469-491, 2019 | 13 | 2019 |
| Proximal policy optimization (PPO) explained W Van Heeswijk Towards Data Sci 6, 2022 | 11 | 2022 |
| 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 (ICLR), 2024 | 10* | 2024 |
| Smart containers with bidding capacity: A policy gradient algorithm for semi-cooperative learning W van Heeswijk Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 10 | 2020 |
| An approximate dynamic programming approach to urban freight distribution with batch arrivals WJA Van Heeswijk, MRK Mes, JMJ Schutten Lecture Notes in Computer Science 9335, 61-75, 2015 | 10 | 2015 |
| Consolidation and coordination in urban freight transport WJA van Heeswijk University of Twente, 2017 | 9 | 2017 |
| Strategic bidding in freight transport using deep reinforcement learning WJA van Heeswijk Annals of Operations Research, 1-38, 2022 | 8 | 2022 |
| Predicting truck parking occupancy using machine learning S Slavova, JPS Piest, W van Heeswijk Procedia computer science 201, 40-47, 2022 | 8 | 2022 |
| Comparison of manual and automated decision-making with a logistics serious game M Mes, W van Heeswijk Computational Logistics: 11th International Conference, ICCL 2020, Enschede …, 2020 | 8 | 2020 |
| Scalability and performance of decentralized planning in flexible transport networks W Van Heeswijk, H La Poutré 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018 | 5 | 2018 |
| Natural policy gradients in reinforcement learning explained WJA van Heeswijk arXiv preprint arXiv:2209.01820, 2022 | 3 | 2022 |
| A Reference Use Case, Data Space Architecture, and Prototype for Smart Truck Parking JPS Piest, S Slavova, W van Heeswijk 2022 Enterprise Engineering Working Conference, 2022 | 3 | 2022 |
Martijn MesFull Professor, University of TwenteZweryfikowany adres z utwente.nl