Yejian Zhao

According to our database, Yejian Zhao authored at least 5 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

TAAGNet: A graph-based multi-agent reinforcement learning framework for integrated production and AGV scheduling in dynamic hybrid flow shop with uncertain sequencing.

Weixiang Xu, Xiaochuan Luo, Yejian Zhao, Huaxi Yulin Zhang

Expert Syst. Appl., 2026

2025

Graph neural architecture for dynamic hybrid flowshop: Addressing stochastic events and uncertain processing sequences.

Weixiang Xu, Xiaochuan Luo, Yejian Zhao, Yulin Zhang

Neurocomputing, 2025

A deep reinforcement learning optimization algorithm based on heterogeneous graph neural network for hybrid flow shop scheduling problem with finite transportation resources.

Yejian Zhao, Xiaochuan Luo, Weixiang Xu, Yulin Zhang

Eng. Appl. Artif. Intell., 2025

2024

The application of heterogeneous graph neural network and deep reinforcement learning in hybrid flow shop scheduling problem.

Yejian Zhao, Xiaochuan Luo, Yulin Zhang

Comput. Ind. Eng., January, 2024

2021

Dynamic Jobshop Scheduling Algorithm Based on Deep Q Network.

Yejian Zhao, Yanhong Wang, Yuanyuan Tan, Jun Zhang, Hongxia Yu

IEEE Access, 2021