2025
Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
Evaluated on synthetic and large-scale real-world MILP problems, DynSep speeds up average solving time by 64% on easy and medium datasets, and reduces primal-dual gap integral within the given time limit by 16% on hard datasets.
Mingxuan Ye, Jie Wang, Fangzhou Zhu et al.
· Neural Information Processin... · 0 citations