Name
Title | ||
|---|---|---|
Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning |
Abstract | ||
|---|---|---|
•Deep reinforcement learning is used to solve the QoS-aware service composition problem in cloud manufacturing with the consideration of logistics.•A DRL algorithm that combines the basic DQN algorithm, the dueling architecture, and the prioritized replay mechanism is proposed.•Experimental results demonstrate the effectiveness, high efficiency, adaptability, and scalability of the proposed DRL algorithm. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.rcim.2020.101991 | Robotics and Computer-Integrated Manufacturing |
Keywords | DocType | Volume |
Cloud manufacturing,service composition,deep reinforcement learning,deep Q-network | Journal | 67 |
ISSN | Citations | PageRank |
0736-5845 | 3 | 0.39 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huagang Liang | 1 | 3 | 0.73 |
| Xiaoqian Wen | 2 | 3 | 0.39 |
| Yongkui Liu | 3 | 210 | 14.54 |
| Haifeng Zhang | 4 | 3 | 0.73 |
| Lin Zhang | 5 | 146 | 16.93 |
| Lihui Wang | 6 | 619 | 61.77 |