Peng Guo

According to our database, Peng Guo authored at least 15 papers between 2011 and 2026.

Collaborative distances:

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

2026

Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning.

Peng Guo, Haichao Shi, Yi Wang, Jianyu Xiong

Int. J. Prod. Res., 2026

Adaptive reinforcement learning for dynamic semiconductor wafer fabrication scheduling: A hybrid reward approach with online bootstrap.

Jiaxin Gu, Peng Guo, Yi Wang, Youjun An, Dong Zhu, Kunqiang Wen, Zhiyao Zhang

Comput. Ind. Eng., 2026

2025

Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends.

Xiaoling Wang, Li Huang, Dongni Wang, Linyu Liu, Peng Guo

IEEE Access, 2025

2024

Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation.

Peng Guo, Jianyu Xiong, Yi Wang, Xiangyin Meng, Linmao Qian

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning.

Kun Lei, Peng Guo, Yi Wang, Jian Zhang, Xiangyin Meng, Linmao Qian

IEEE Trans. Ind. Informatics, January, 2024

Dynamic pruning-based Bayesian support vector regression for reliability analysis.

Shui Yu, Yuyao Ren, Xiao Wu, Peng Guo, Yun Li

Reliab. Eng. Syst. Saf., 2024

2023

Enhancing aircraft engine remaining useful life prediction via multiscale deep transfer learning with limited data.

Qi Liu, Zhiyao Zhang, Peng Guo, Yi Wang, Junxin Liang

J. Comput. Des. Eng., December, 2023

Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems.

Jianyu Xiong, Peng Guo, Yi Wang, Xiangyin Meng, Jian Zhang, Linmao Qian, Zhenglin Yu

Eng. Appl. Artif. Intell., 2023

2022

Decomposition approaches for parallel machine scheduling of step-deteriorating jobs to minimize total tardiness and energy consumption.

Xiao Wu, Peng Guo, Yi Wang, Yakun Wang

Complex Intell. Syst., 2022

An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem.

Kun Lei, Peng Guo, Yi Wang, Jianyu Xiong, Wenchao Zhao

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

An improved fireworks algorithm for the constrained single-row facility layout problem.

Silu Liu, Zeqiang Zhang, Chao Guan, Lixia Zhu, Min Zhang, Peng Guo

Int. J. Prod. Res., 2021

2018

Gantry crane scheduling in intermodal rail-road container terminals.

Peng Guo, Wenming Cheng, Yi Wang, Nils Boysen

Int. J. Prod. Res., 2018

2017

Hybrid evolutionary algorithm with extreme machine learning fitness function evaluation for two-stage capacitated facility location problems.

Peng Guo, Wenming Cheng, Yi Wang

Expert Syst. Appl., 2017

2013

Gantry Crane Scheduling with Interference Constraints in Railway Container Terminals.

Peng Guo, Wenming Cheng, Zeqiang Zhang, Min Zhang, Jian Liang

Int. J. Comput. Intell. Syst., 2013

2011

Global artificial bee colony search algorithm for numerical function optimization.

Peng Guo, Wenming Cheng, Jian Liang

Proceedings of the Seventh International Conference on Natural Computation, 2011