Research on AGV path planning in flexible job-shop scheduling problem based on multi-agent deep Q network.

Research on flexible job shop scheduling problem with AGV using double DQN.

Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network.

Deep reinforcement learning based proximal policy optimization algorithm for dynamic job shop scheduling.

Research on optimal path sampling algorithm of manipulator based on potential function.

Dynamic scheduling mechanism for intelligent workshop with deep reinforcement learning method based on multi-agent system architecture.

Research on real-time prediction of completion time based on AE-CNN-LSTM.

A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem.

Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network.

Using real-time manufacturing data to schedule a smart factory via reinforcement learning.

Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm.

Dynamic service resources scheduling method in cloud manufacturing environment.

Service composition model and method in cloud manufacturing.

Reconfigurable assembly line balancing for cloud manufacturing.

Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing.

Manufacturing Resource Modeling for Cloud Manufacturing.

Product lifecycle oriented digitization agile process preparation system.