2023 AIChE Annual Meeting

Session: Advances in Optimization I

Co-Chairs

Khan, K., McMaster University
Li, C., Purdue University

Presentations

03:30 PM

(119a) A Branch-and-Bound Algorithm with Growing Datasets for Large-Scale Parameter Estimation
Mitsos, A., Sass, S., Bongartz, D., Bell, I. H., Nikolov, N. I., Tsoukalas, A.

03:48 PM

(119b) Improving the Efficiency of Branch-and-Bound for Global Dynamic Optimization
Ye, J., Scott, J. K.

04:06 PM

(119c) Convexification of Nonconvex Compositions with Norms
Kuznetsov, A., Sahinidis, N.

04:24 PM

(119d) LP-Based Preprocessing Algorithm and Tightening Constraints for Multiperiod Blend Scheduling Problems
Song, Y., Maravelias, C. T.

04:42 PM

(119e) Source Code Transformation for GPU-Enhanced Deterministic Global Optimization
Gottlieb, R., Stuber, M.

05:00 PM

(119f) Learning-Assisted AC Optimal Power Flow
Li, C., Constante-Flores, G.

05:18 PM

(119g) Entropic Regularization for Wasserstein Distributionally Robust Chance-Constrained Process Optimization
Yang, S. B., Li, Z.

05:36 PM

(119h) Advanced Solution Techniques for Event Constrained Programming
Ovalle, D., Pulsipher, J., Laird, C., Grossmann, I.