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Robbert Reijnen
Robbert Reijnen
PhD Candidate
Verified email at tue.nl
Title
Cited by
Cited by
Year
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
182020
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
12*2023
Online control of adaptive large neighborhood search using deep reinforcement learning
R Reijnen, Y Zhang, HC Lau, Z Bukhsh
Proceedings of the International Conference on Automated Planning and …, 2024
102024
Graph neural networks for job shop scheduling problems: A survey
IG Smit, J Zhou, R Reijnen, Y Wu, J Chen, C Zhang, Z Bukhsh, Y Zhang, ...
Computers & Operations Research, 106914, 2024
72024
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
72023
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
62022
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
22023
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
Deep Reinforcement Learning Based Genetic Framework for Flexible Job-Shop Scheduling Under Practical Constraints
K Straaten, RVJ Reijnen, Z Bukhsh, Y Wu, Y Zhang
Available at SSRN 4900251, 0
EURO Meets NeurIPS 2022 Vehicle Routing Competition
D Numeroso, R Reijnen, RR Afshar, Y Zhang, T Catshoek, K Tierney, ...
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