Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Robbert Reijnen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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15706426 Generalizable and Understandable Self-Learning Approaches for Dynamic, Large-Scale Resource Management Optimization Problems- GULAD
1/09/21 → 31/08/25
Project: Research direct
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Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization
Reijnen, R., Zhang, Y., Bukhsh, Z. & Guzek, M., 30 Jan 2023, The 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) . Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). Institute of Electrical and Electronics Engineers, p. 804-811 8 p. 10022227Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile48 Downloads (Pure) -
The first AI4TSP competition: Learning to solve stochastic routing problems
Zhang, Y., Bliek, L., da Costa, P., Refaei Afshar, R., Reijnen, R., Catshoek, T., Vos, D., Verwer, S., Schmitt-Ulms, F., Hottung, A., Shah, T., Sellmann, M., Tierney, K., Perreault-Lafleur, C., Leboeuf, C., Bobbio, F., Pepin, J., Silva, W. A., Gama, R., Fernandes, H. L., & 3 others, Jun 2023, In: Artificial Intelligence. 319, 18 p., 103918.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems
Coppens, R. H. M., Reijnen, R., Zhang, Y., Bliek, L. & Steenhuisen, B., 1 Nov 2022, In: arXiv. 2022, 8 p., 2211.09719.Research output: Contribution to journal › Article › Academic
Open AccessFile3 Downloads (Pure) -
Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Reijnen, R., Zhang, Y., Lau, H. C. & Bukhsh, Z., 1 Nov 2022, In: arXiv. 2022, 8 p., 2211.00759.Research output: Contribution to journal › Article › Academic
Open AccessFile11 Downloads (Pure) -
Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts
Reijnen, R., Zhang, Y., Nuijten, W. P. M., Senaras, C. & Goldak-Altgassen, M., 5 Jan 2021, 2020 IEEE Symposium Series on Computational Intelligence (SSCI 2020). IEEE Press, p. 2647-2654 8 p. 9308584Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile2 Citations (Scopus)384 Downloads (Pure)
Activities
- 1 Workshop, seminar, course or exhibition
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EURO Meets NeurIPS 2022 Vehicle Routing Competition
Laurens Bliek (Organiser), Yingqian Zhang (Organiser), Reza Refaei Afshar (Organiser), Robbert Reijnen (Organiser) & Danilo Numeroso (Organiser)
2022 → …Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific