APA (7th ed.) Citation

Chen, G., Zhang, K., Xue, X., Zhang, L., Yao, C., Wang, J., & Yao, J. (2022). A radial basis function surrogate model assisted evolutionary algorithm for high-dimensional expensive optimization problems. Applied soft computing, 116, 108353. https://doi.org/10.1016/j.asoc.2021.108353

Chicago Style (17th ed.) Citation

Chen, Guodong, Kai Zhang, Xiaoming Xue, Liming Zhang, Chuanjin Yao, Jian Wang, and Jun Yao. "A Radial Basis Function Surrogate Model Assisted Evolutionary Algorithm for High-dimensional Expensive Optimization Problems." Applied Soft Computing 116 (2022): 108353. https://doi.org/10.1016/j.asoc.2021.108353.

MLA (9th ed.) Citation

Chen, Guodong, et al. "A Radial Basis Function Surrogate Model Assisted Evolutionary Algorithm for High-dimensional Expensive Optimization Problems." Applied Soft Computing, vol. 116, 2022, p. 108353, https://doi.org/10.1016/j.asoc.2021.108353.