2022 Annual Meeting

Session: Data-driven optimization

Chair

Stuber, M., University of Connecticut

Co-Chair

Presentations

12:30 PM

(624a) Branch-and-Model: A Derivative-Free Global Optimization Algorithm
Sahinidis, N., Ma, K., Rios, L. M., Bhosekar, A., Rajagopalan, S.

12:49 PM

(624b) Data-Driven Coordination in Enterprise-Wide Optimization
van de Berg, D., Shah, N., del Rio Chanona, A., Petsagkourakis, P.

01:08 PM

(624c) A Surrogate-Based Framework for Feasibility Analysis and Optimization of Expensive Simulations
Tian, H., Ierapetritou, M.

01:27 PM

(624d) Data-Efficient Automated Tuning of Generic Control Structures Using Adversarially Robust Bayesian Optimization
Makrygiorgos, G., Paulson, J., Mesbah, A.

01:46 PM

(624e) Accelerating Multiscale Global Optimization through Reduced Bayesian Optimization
Wichrowski, N. J., Psarellis, G., Georgiou, A., Bello-Rivas, J., Dietrich, F., Hauenstein, J., Kevrekidis, I. G.

02:05 PM

(624f) Exploiting High-Throughput Experiments in Bayesian Optimization
Zavala, V., Gonzalez, L.

02:24 PM

(624g) Snake: Bayesian Optimization Via Pathwise Exploration
Folch, J. P., Zhang, S., Lee, R. M., Shafei, B., Walz, D., Tsay, C., van der Wilk, M., Misener, R.

02:43 PM

(624h) Optimization Under Uncertainty with Bayesian Hybrid Models
Dowling, A., Jones, K., Eugene, E., Wang, J.