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

12:49 PM

(624b) Data-Driven Coordination in Enterprise-Wide Optimization

01:08 PM

(624c) A Surrogate-Based Framework for Feasibility Analysis and Optimization of Expensive Simulations

01:27 PM

(624d) Data-Efficient Automated Tuning of Generic Control Structures Using Adversarially Robust Bayesian Optimization

01:46 PM

(624e) Accelerating Multiscale Global Optimization through Reduced Bayesian Optimization

02:05 PM

(624f) Exploiting High-Throughput Experiments in Bayesian Optimization

02:24 PM

(624g) Snake: Bayesian Optimization Via Pathwise Exploration

02:43 PM

(624h) Optimization Under Uncertainty with Bayesian Hybrid Models