2022 Annual Meeting

Session: Design and Operations Under Uncertainty - I

Chair

Zhang, Q., University of Minnesota

Co-Chair

Presentations

08:00 AM

(433a) Systematic Methods for Explaining Stochastic Programming Solutions

08:22 AM

(433c) Insights into Nonconvex Robust Optimization for Chemical Engineering Applications

08:44 AM

(433d) Tighter Lower Bounds for Semi-Infinite Programming Using Parametric Sensitivity Theory

09:06 AM

(433e) Stable Two-Stage Scenario Tree Generation Method Via a Game-Theoretic Optimization Approach

09:28 AM

(433f) Bounding Approaches to Various Multistage Stochastic Programming Problems with Type II Endogenous Uncertainty

09:50 AM

(433g) A Multi-Scenario Stochastic Framework for Dynamic Real Time Optimization Under Uncertainty with Embedded Closed-Loop MPC

10:12 AM

(433h) Continuous Multi-Fidelity Bayesian Optimization for Efficient Integrated Process Design and Advanced Control