Found 4 results
Filters: Keyword is Machine Learning [Clear All Filters]
2022
O. Badejo and Ierapetritou, M., “Integrating tactical planning, operational planning and scheduling using data-driven feasibility analysis”, Computers & Chemical Engineering, vol. 161, p. 107759, 2022.
2021
A. Bhosekar, Badejo, O., and Ierapetritou, M., “Modular supply chain optimization considering demand uncertainty to manage risk”, AIChE Journal, vol. 67, 2021.
2019
S. Hye Kim and Boukouvala, F., “Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques”, Optimization Letters, 2019.
S. Hye Kim and Boukouvala, F., “Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques”, Optimization Letters, vol. 14, 2019.