MSSRGO: A multimeta-model-based global optimization method using a selection-rank-based infill sampling strategy

MLA

Mingyang Li, et al. “MSSRGO: A Multimeta-Model-Based Global Optimization Method Using a Selection-Rank-Based Infill Sampling Strategy.” Journal of King Saud University: Computer and Information Sciences, vol. 35, no. 1, Jan. 2023, pp. 382–92. EBSCOhost, https://doi.org/10.1016/j.jksuci.2022.12.007.

APA

Mingyang Li, Lipeng Hu, & Jinjun Tang. (2023). MSSRGO: A multimeta-model-based global optimization method using a selection-rank-based infill sampling strategy. Journal of King Saud University: Computer and Information Sciences, 35(1), 382–392. https://doi.org/10.1016/j.jksuci.2022.12.007

Chicago

Mingyang Li, Lipeng Hu, and Jinjun Tang. 2023. “MSSRGO: A Multimeta-Model-Based Global Optimization Method Using a Selection-Rank-Based Infill Sampling Strategy.” Journal of King Saud University: Computer and Information Sciences 35 (1): 382–92. doi:10.1016/j.jksuci.2022.12.007.