Found 5 results
Filters: Author is Kim, S. [Clear All Filters]
2019
S. Kim and Boukouvala, F., “Artificial Neural network Data-Driven Optimization for Chemical Processes”, in CRIDC, 2019.
S. Kim, Demirel, S., Li, J., Hasan, F., and Boukouvala, F., “Machine learning-based Surrogate Modeling and Optimization: Application to Systematic Process Intensification using Building Block Superstructure”, in AIChE Annual Meeting, 2019.
S. Kim, Rubiera, L., Mitchell, T., Realff, M., and Boukouvala, F., “Modular Process Intensification for Carbon Capture using Data-Driven Optimization”, in AIChE Annual Meeting, 2019.
2018
S. Kim and Boukouvala, F., “Data-Driven Optimization using Accurate and Low-Complexity Surrogate Models”, in CRIDC, 2018.
S. Kim and Boukouvala, F., “Optimization of Data-Dependent Mixed-Integer Nonlinear Problems”, in AIChE Annual Meeting, 2018.