Cite
A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management.
MLA
Liu, Zeyi, et al. “A Graph Neural Networks-Based Deep Q-Learning Approach for Job Shop Scheduling Problems in Traffic Management.” Information Sciences, vol. 607, Aug. 2022, pp. 1211–23. EBSCOhost, https://doi.org/10.1016/j.ins.2022.06.017.
APA
Liu, Z., Wang, Y., Liang, X., Ma, Y., Feng, Y., Cheng, G., & Liu, Z. (2022). A graph neural networks-based deep Q-learning approach for job shop scheduling problems in traffic management. Information Sciences, 607, 1211–1223. https://doi.org/10.1016/j.ins.2022.06.017
Chicago
Liu, Zeyi, Yuan Wang, Xingxing Liang, Yang Ma, Yanghe Feng, Guangquan Cheng, and Zhong Liu. 2022. “A Graph Neural Networks-Based Deep Q-Learning Approach for Job Shop Scheduling Problems in Traffic Management.” Information Sciences 607 (August): 1211–23. doi:10.1016/j.ins.2022.06.017.