| Combining deep reinforcement learning with search heuristics for solving multi-agent path finding in segment-based layouts R Reijnen, Y Zhang, W Nuijten, C Senaras, M Goldak-Altgassen 2020 IEEE symposium series on computational intelligence (SSCI), 2647-2654, 2020 | 11 | 2020 |
| Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning R Reijnen, Y Zhang, HC Lau, Z Bukhsh arXiv preprint arXiv:2211.00759, 2024 | 4 | 2024 |
| The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ... Artificial Intelligence 319, 103918, 2023 | 3 | 2023 |
| Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization R Reijnen, Y Zhang, Z Bukhsh, M Guzek 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 804-811, 2022 | 3 | 2022 |
| Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods R Reijnen, K van Straaten, Z Bukhsh, Y Zhang arXiv preprint arXiv:2308.12794, 2023 | 1 | 2023 |
| The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ... arXiv preprint arXiv:2201.10453, 2022 | 1 | 2022 |
| Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems R Reijnen, Y Zhang, Z Bukhsh, M Guzek Proceedings of the Companion Conference on Genetic and Evolutionary …, 2023 | | 2023 |
| Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems R Coppens, R Reijnen, Y Zhang, L Bliek, B Steenhuisen arXiv preprint arXiv:2211.09719, 2022 | | 2022 |
| EURO Meets NeurIPS 2022 Vehicle Routing Competition D Numeroso, R Reijnen, RR Afshar, Y Zhang, T Catshoek, K Tierney, ... | | |
