Found 7 results
Filters: Author is Boukouvala, F. [Clear All Filters]
2021
E. N. Pistikopoulos, Hasan, M. M. Faruque, Kwon, J. S., Realff, M. J., Boukouvala, F., Eden, M. R., Cremaschi, S., Tatarchuk, B. J., Powell, J. B., Demirhan, D., Klokkenburg, M., Matzakos, A., Heuberger, C. F., Bindlish, R., and Leyland, S., “SYNOPSIS – Synthesis of Operable Process Intensification Systems”, in PSE Advanced Process Modelling Forum, 2021.
2019
S. Kim and Boukouvala, F., “Artificial Neural network Data-Driven Optimization for Chemical Processes”, in CRIDC, 2019.
W. Bradley and Boukouvala, F., “Hybrid Modeling for Robust Process Design”, Foundations of Computer-Aided Process Design, 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.