most citedSolving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

DKGCM: A Spatio-Temporal Prediction Model for Traffic Flow by Fusing Spatial Node Clustering Method and Fourier Bidirectional Mamba Mechanism

Siqing Long, Xiangzhi Huang, Jiemin Xie +1

Accurate traffic demand forecasting enables transportation management departments to allocate resources more effectively, thereby improving their utilization efficiency. However, c…

math.OC2024★ 1 cited

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

Hongpei Li, Han Zhang, Ziyan He +4

The Integrated Process Planning and Scheduling (IPPS) problem combines process route planning and shop scheduling to achieve high efficiency in manufacturing and maximize resource…