A multi-scale framework for CO2 capture, utilization, and sequestration: CCUS and CCU MMF Hasan, EL First, F Boukouvala, CA Floudas Computers & Chemical Engineering 81, 2-21, 2015 | 321 | 2015 |
Global optimization advances in mixed-integer nonlinear programming, MINLP, and constrained derivative-free optimization, CDFO F Boukouvala, R Misener, CA Floudas European Journal of Operational Research 252 (3), 701-727, 2016 | 248 | 2016 |
An integrated approach for dynamic flowsheet modeling and sensitivity analysis of a continuous tablet manufacturing process F Boukouvala, V Niotis, R Ramachandran, FJ Muzzio, MG Ierapetritou Computers & Chemical Engineering 42, 30-47, 2012 | 209 | 2012 |
Nationwide, regional, and statewide CO2 capture, utilization, and sequestration supply chain network optimization MMF Hasan, F Boukouvala, EL First, CA Floudas Industrial & Engineering Chemistry Research 53 (18), 7489-7506, 2014 | 185 | 2014 |
ARGONAUT: AlgoRithms for Global Optimization of coNstrAined grey-box compUTational problems F Boukouvala, CA Floudas Optimization Letters 11 (5), 895-913, 2017 | 135 | 2017 |
Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption F Boukouvala, MMF Hasan, CA Floudas Journal of Global Optimization 67 (1-2), 3-42, 2017 | 122 | 2017 |
Design space of pharmaceutical processes using data-driven-based methods F Boukouvala, FJ Muzzio, MG Ierapetritou Journal of Pharmaceutical Innovation 5 (3), 119-137, 2010 | 110 | 2010 |
Surrogate-based optimization of expensive flowsheet modeling for continuous pharmaceutical manufacturing F Boukouvala, MG Ierapetritou Journal of Pharmaceutical Innovation 8 (2), 131-145, 2013 | 108 | 2013 |
Feasibility analysis of black-box processes using an adaptive sampling Kriging-based method F Boukouvala, MG Ierapetritou Computers & Chemical Engineering 36, 358-368, 2012 | 105 | 2012 |
Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques SH Kim, F Boukouvala Optimization Letters, 1-22, 2019 | 100 | 2019 |
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations B Beykal, F Boukouvala, CA Floudas, N Sorek, H Zalavadia, E Gildin Computers & Chemical Engineering 114, 99-110, 2018 | 80 | 2018 |
Optimal design of energy systems using constrained grey-box multi-objective optimization B Beykal, F Boukouvala, CA Floudas, EN Pistikopoulos Computers & chemical engineering 116, 488-502, 2018 | 79 | 2018 |
Data‐driven mathematical modeling and global optimization framework for entire petrochemical planning operations J Li, X Xiao, F Boukouvala, CA Floudas, B Zhao, G Du, X Su, H Liu AIChE Journal 62 (9), 3020-3040, 2016 | 78 | 2016 |
Reduced-order discrete element method modeling F Boukouvala, Y Gao, F Muzzio, MG Ierapetritou Chemical Engineering Science 95, 12-26, 2013 | 75 | 2013 |
Computer-aided flowsheet simulation of a pharmaceutical tablet manufacturing process incorporating wet granulation F Boukouvala, A Chaudhury, M Sen, R Zhou, L Mioduszewski, ... Journal of Pharmaceutical Innovation 8 (1), 11-27, 2013 | 75 | 2013 |
Surrogate-Based Optimization for Mixed-Integer Nonlinear Problems SH Kim, F Boukouvala Computers & Chemical Engineering, 106847, 2020 | 70 | 2020 |
Derivative‐free optimization for expensive constrained problems using a novel expected improvement objective function F Boukouvala, MG Ierapetritou AIChE Journal 60 (7), 2462-2474, 2014 | 68 | 2014 |
Dynamic data-driven modeling of pharmaceutical processes F Boukouvala, FJ Muzzio, MG Ierapetritou Industrial & Engineering Chemistry Research 50 (11), 6743-6754, 2011 | 67 | 2011 |
Computational Approaches for Studying the Granular Dynamics of Continuous Blending Processes, 2–Population Balance and Data‐Based Methods F Boukouvala, A Dubey, A Vanarase, R Ramachandran, FJ Muzzio, ... Macromolecular Materials and Engineering 297 (1), 9-19, 2012 | 64 | 2012 |
Perspectives on the Integration between First-Principles and Data-Driven Modeling W Bradley, J Kim, Z Kilwein, L Blakely, M Eydenberg, J Jalvin, C Laird, ... Computers & Chemical Engineering, 107898, 2022 | 55 | 2022 |