APA (7th ed.) Citation

Lei, K., Guo, P., Zhao, W., Wang, Y., Qian, L., Meng, X., & Tang, L. (2022). A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem. Expert systems with applications, 205, 117796. https://doi.org/10.1016/j.eswa.2022.117796

Chicago Style (17th ed.) Citation

Lei, Kun, Peng Guo, Wenchao Zhao, Yi Wang, Linmao Qian, Xiangyin Meng, and Liansheng Tang. "A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem." Expert Systems with Applications 205 (2022): 117796. https://doi.org/10.1016/j.eswa.2022.117796.

MLA (9th ed.) Citation

Lei, Kun, et al. "A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem." Expert Systems with Applications, vol. 205, 2022, p. 117796, https://doi.org/10.1016/j.eswa.2022.117796.