Assessing the weighted multi-objective adaptive surrogate model optimization to derive large-scale reservoir operating rules with sensitivity analysis.

MLA

Zhang, Jingwen, et al. “Assessing the Weighted Multi-Objective Adaptive Surrogate Model Optimization to Derive Large-Scale Reservoir Operating Rules with Sensitivity Analysis.” Journal of Hydrology, vol. 544, Jan. 2017, pp. 613–27. EBSCOhost, https://doi.org/10.1016/j.jhydrol.2016.12.008.

APA

Zhang, J., Wang, X., Liu, P., Lei, X., Li, Z., Gong, W., Duan, Q., & Wang, H. (2017). Assessing the weighted multi-objective adaptive surrogate model optimization to derive large-scale reservoir operating rules with sensitivity analysis. Journal of Hydrology, 544, 613–627. https://doi.org/10.1016/j.jhydrol.2016.12.008

Chicago

Zhang, Jingwen, Xu Wang, Pan Liu, Xiaohui Lei, Zejun Li, Wei Gong, Qingyun Duan, and Hao Wang. 2017. “Assessing the Weighted Multi-Objective Adaptive Surrogate Model Optimization to Derive Large-Scale Reservoir Operating Rules with Sensitivity Analysis.” Journal of Hydrology 544 (January): 613–27. doi:10.1016/j.jhydrol.2016.12.008.