Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning-Reference-Cited by-同舟云学术

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

Published:2024-03-18 Issue: Volume: Page:1-25
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Guo Peng¹²^ORCID,Shi Haichao¹,Wang Yi³,Xiong Jianyu¹

Affiliation:

1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, People's Republic of China

2. The Technology and Equipment of Rail Transit Operation and Maintenance Key Laboratory of Sichuan Province, Chengdu, People's Republic of China

3. Department of Mathematics, Auburn University at Montgomery, Montgomery, USA

Funder

National Key Research and Development Plan of China

Sichuan Science and Technology Program

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2024.2329316

Reference46 articles.

1. Cloud Manufacturing–a Critical Review of Recent Development and Future Trends;Adamson Göran;International Journal of Computer Integrated Manufacturing,2017

2. Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions

3. Bello Irwan Hieu Pham Quoc V. Le Mohammad Norouzi and Samy Bengio. 2016. “Neural Combinatorial Optimization with Reinforcement Learning.” arXiv:1611.09940.

4. Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey

5. Drop computing: Ad-hoc dynamic collaborative computing

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