Research on Multi-AGVs dynamic scheduling based on deep reinforcement learning
Author:
Affiliation:
1. South China University of Technology,School of Software Engineering,Guangzhou,China
2. Shenzhen Bangqi Technology Intelligent Development Co., Ltd,Shenzhen,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10356149/10356120/10356188.pdf?arnumber=10356188
Reference28 articles.
1. Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization
2. A genetic algorithm approach to the simultaneous scheduling of machines and automated guided vehicles
3. A study of scheduling rules of flexible manufacturing systems: A simulation approach
4. AGV dispatching
5. AGV scheduling for automated material distribution: a case study
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