GitHub

bsklzsc/1Flexible-Job-Shop-Scheduling-Via-Graph-Neural-Network-and-Deep-Reinforcement-Learning

Implementation of the IEEE TII paper Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics, 2022. @ARTICLE{9826438, author= ...
IEEE

Deep Reinforcement Learning With Heterogeneous Graph Neural Network for Flexible Job Shop Scheduling Problem

Abstract: Job Shop Scheduling Problem (JSP) is common in modern factories, but traditional dispatching rules (DR) and heuristic algorithms (HA) struggle with the increasing complexity of manufacturing ...
IEEE

Efficient Job Shop Scheduling via Graph based Deep Reinforcement Learning with Adaptive Multi-Action Selection

Abstract: The Job Shop Scheduling Problem (JSSP) is a widely studied combinatorial optimization challenge with significant real-world applications, characterized by its NP-hard complexity. Priority ...