REN, Xiaoyu, ZHANG, Jian, LI, Jiwei, QIN, Shengfeng und CHEN, Haojie, 2026. A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines. Computers & Industrial Engineering. 1 Januar 2026. Vol. 211, , . DOI 10.1016/j.cie.2025.111630.
Elsevier - Harvard (with titles)Ren, X., Zhang, J., Li, J., Qin, S., Chen, H., 2026. A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines. Computers & Industrial Engineering 211. https://doi.org/10.1016/j.cie.2025.111630
American Psychological Association 7th editionRen, X., Zhang, J., Li, J., Qin, S., & Chen, H. (2026). A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines. Computers & Industrial Engineering, 211. https://doi.org/10.1016/j.cie.2025.111630
Springer - Basic (author-date)Ren X, Zhang J, Li J, Qin S, Chen H (2026) A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines. Computers & Industrial Engineering 211. https://doi.org/10.1016/j.cie.2025.111630
Juristische Zitierweise (Stüber) (Deutsch)Ren, Xiaoyu/ Zhang, Jian/ Li, Jiwei/ Qin, Shengfeng/ Chen, Haojie, A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines, Computers & Industrial Engineering 2026.