APA (7th ed.) Citation

Wang, Z., Cai, B., Li, J., Yang, D., Zhao, Y., & Xie, H. (2023). Solving non-permutation flow-shop scheduling problem via a novel deep reinforcement learning approach. Computers & Operations Research, 151, N.PAG. https://doi.org/10.1016/j.cor.2022.106095

Chicago Style (17th ed.) Citation

Wang, Zhenyu, Bin Cai, Jun Li, Deheng Yang, Yang Zhao, and Huan Xie. "Solving Non-permutation Flow-shop Scheduling Problem via a Novel Deep Reinforcement Learning Approach." Computers & Operations Research 151 (2023): N.PAG. https://doi.org/10.1016/j.cor.2022.106095.

MLA (9th ed.) Citation

Wang, Zhenyu, et al. "Solving Non-permutation Flow-shop Scheduling Problem via a Novel Deep Reinforcement Learning Approach." Computers & Operations Research, vol. 151, 2023, p. N.PAG, https://doi.org/10.1016/j.cor.2022.106095.