APA (7th ed.) Citation

Sun, X., Vogel‐Heuser, B., Bi, F., & Shen, W. (2022). A deep reinforcement learning based approach for dynamic distributed blocking flowshop scheduling with job insertions. IET collaborative intelligent manufacturing, 4(3), 166-180. https://doi.org/10.1049/cim2.12060

Chicago Style (17th ed.) Citation

Sun, Xueyan, Birgit Vogel‐Heuser, Fandi Bi, and Weiming Shen. "A Deep Reinforcement Learning Based Approach for Dynamic Distributed Blocking Flowshop Scheduling with Job Insertions." IET Collaborative Intelligent Manufacturing 4, no. 3 (2022): 166-180. https://doi.org/10.1049/cim2.12060.

MLA (9th ed.) Citation

Sun, Xueyan, et al. "A Deep Reinforcement Learning Based Approach for Dynamic Distributed Blocking Flowshop Scheduling with Job Insertions." IET Collaborative Intelligent Manufacturing, vol. 4, no. 3, 2022, pp. 166-180, https://doi.org/10.1049/cim2.12060.