Surrogate modeling

Kim, S. . H., & Boukouvala, F. . (2019). Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques. Optimization Letters, 14, 989-1010. https://doi.org/10.1007/s11590-019-01428-7 (Original work published 2025)

Hüllen, G. ., Zhai, J. ., Kim, S. . H., Sinha, A. ., Realff, M. . J., & Boukouvala, F. . (2019). Managing Uncertainty in Data-Driven Simulation-Based Optimization. Computers & Chemical Engineering, 136, 106519. https://doi.org/10.1016/j.compchemeng.2019.106519 (Original work published 2025)