Cite
An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown.
MLA
Zhang, Guohui, et al. “An Effective Two-Stage Algorithm Based on Convolutional Neural Network for the Bi-Objective Flexible Job Shop Scheduling Problem with Machine Breakdown.” Expert Systems with Applications, vol. 203, Oct. 2022, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.eswa.2022.117460.
APA
Zhang, G., Lu, X., Liu, X., Zhang, L., Wei, S., & Zhang, W. (2022). An effective two-stage algorithm based on convolutional neural network for the bi-objective flexible job shop scheduling problem with machine breakdown. Expert Systems with Applications, 203, N.PAG. https://doi.org/10.1016/j.eswa.2022.117460
Chicago
Zhang, Guohui, Xixi Lu, Xing Liu, Litao Zhang, Shiwen Wei, and Wenqiang Zhang. 2022. “An Effective Two-Stage Algorithm Based on Convolutional Neural Network for the Bi-Objective Flexible Job Shop Scheduling Problem with Machine Breakdown.” Expert Systems with Applications 203 (October): N.PAG. doi:10.1016/j.eswa.2022.117460.