Minghai Yuan

According to our database, Minghai Yuan authored at least 19 papers between 2008 and 2026.

Collaborative distances:

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

2026

Hierarchical agent architecture-based large-scale AGV cluster real-time motion collaboration control in dynamic and complex production environments.

Zhuo Zhou, Liyun Xu, Liqiang Liao, Minghai Yuan, Gang Shang, Zhun Xu

Expert Syst. Appl., 2026

2025

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

Minghai Yuan, Songwei Lu, Liang Zheng, Qi Yu, Fengque Pei, Wenbin Gu

Intell. Serv. Robotics, May, 2025

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

Minghai Yuan, Liang Zheng, Hanyu Huang, Kaiwen Zhou, Fengque Pei, Wenbin Gu

J. Intell. Manuf., January, 2025

Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network.

Minghai Yuan, Yang Ye, Hanyu Huang, Zhen Zhang, Fengque Pei, Wenbin Gu

Swarm Evol. Comput., 2025

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

Minghai Yuan, Songwei Lu, Liang Zheng, Qi Yu, Fengque Pei, Wenbin Gu

Swarm Evol. Comput., 2025

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

Minghai Yuan, Qi Yu, Lizhi Zhang, Songwei Lu, Zichen Li, Fengque Pei

Comput. Oper. Res., 2025

2024

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

Rui Shu, Minghai Yuan, Zhenyu Liang, Yingjie Sun, Fengque Pei

Int. J. Intell. Robotics Appl., June, 2024

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

Wenbin Gu, Siqi Liu, Zhenyang Guo, Minghai Yuan, Fengque Pei

Comput. Ind. Eng., 2024

2023

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

Minghai Yuan, Zichen Li, Chenxi Zhang, Liang Zheng, Kefu Mao, Fengque Pei

Comput. Ind. Eng., November, 2023

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

Minghai Yuan, Hanyu Huang, Zichen Li, Chenxi Zhang, Fengque Pei, Wenbin Gu

Adv. Eng. Informatics, October, 2023

2022

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

Yuxin Li, Wenbin Gu, Minghai Yuan, Yaming Tang

Robotics Comput. Integr. Manuf., 2022

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

Wenbin Gu, Yuxin Li, Dunbing Tang, Xianliang Wang, Minghai Yuan

Comput. Ind. Eng., 2022

2021

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

Minghai Yuan, Yadong Li, Lizhi Zhang, Fengque Pei

Robotics Comput. Integr. Manuf., 2021

Dynamic service resources scheduling method in cloud manufacturing environment.

Minghai Yuan, Xianxian Cai, Zhuo Zhou, Chao Sun, Wenbin Gu, Jinting Huang

Int. J. Prod. Res., 2021

2020

Service composition model and method in cloud manufacturing.

Minghai Yuan, Zhuo Zhou, Xianxian Cai, Chao Sun, Wenbin Gu

Robotics Comput. Integr. Manuf., 2020

2019

Reconfigurable assembly line balancing for cloud manufacturing.

Minghai Yuan, Hongyan Yu, Jinting Huang, Aimin Ji

J. Intell. Manuf., 2019

2017

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

Minghai Yuan, Kun Deng, W. Art Chaovalitwongse, Shuo Cheng

Optim. Methods Softw., 2017

Manufacturing Resource Modeling for Cloud Manufacturing.

Minghai Yuan, Kun Deng, W. Art Chaovalitwongse

Int. J. Intell. Syst., 2017

2008

Product lifecycle oriented digitization agile process preparation system.

Yifei Tong, Dongbo Li, Minghai Yuan

Comput. Ind., 2008