Combining Deep Reinforcement Learning with Search Heuristics for Solving Multi-Agent Path Finding in Segment-based Layouts. - Robbert Reijnen; Yingqian Zhang 001; Wim Nuijten; Çaglar Senaras; Mariana Goldak-Altgassen (SSCI, 2020)

Deep Reinforcement Learning for Adaptive Parameter Control in Differential Evolution for Multi-Objective Optimization. - Robbert Reijnen; Yingqian Zhang 001; Zaharah Allah Bukhsh; Mateusz Guzek (SSCI, 2022)

Operator Selection in Adaptive Large Neighborhood Search using Deep Reinforcement Learning. - Robbert Reijnen; Yingqian Zhang 001; Hoong Chuin Lau; Zaharah Allah Bukhsh (CoRR, 2022)

Learning Adaptive Evolutionary Computation for Solving Multi-Objective Optimization Problems. - Remco Coppens; Robbert Reijnen; Yingqian Zhang 001; Laurens Bliek; Berend Steenhuisen (CoRR, 2022)

Learning to Adapt Genetic Algorithms for Multi-Objective Flexible Job Shop Scheduling Problems. - Robbert Reijnen; Yingqian Zhang 001; Zaharah Allah Bukhsh; Mateusz Guzek (GECCO Companion, 2023)

Job Shop Scheduling Benchmark: Environments and Instances for Learning and Non-learning Methods. - Robbert Reijnen; Kjell van Straaten; Zaharah Allah Bukhsh; Yingqian Zhang 001 (CoRR, 2023)

The first AI4TSP competition: Learning to solve stochastic routing problems. - Yingqian Zhang 001; Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Robbert Reijnen; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; et al. (Artif. Intell., 2023)

Online Control of Adaptive Large Neighborhood Search Using Deep Reinforcement Learning. - Robbert Reijnen; Yingqian Zhang 001; Hoong Chuin Lau; Zaharah Allah Bukhsh (ICAPS, 2024)

Graph neural networks for job shop scheduling problems: A survey. - Igor G. Smit; Jianan Zhou 002; Robbert Reijnen; Yaoxin Wu; Jian Chen 022; Cong Zhang; Zaharah Bukhsh; Yingqian Zhang 001; Wim Nuijten (Comput. Oper. Res., 2025)

Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization. - Robbert Reijnen; Yaoxin Wu; Zaharah Bukhsh; Yingqian Zhang 001 (CoRR, 2025)