2020 Virtual AIChE Annual Meeting

Session: Data Driven Optimization

Chair

Co-Chair

Faruque Hasan, Texas A&M University

Presentations

08:00 AM

(578a) The Melon Toolbox: Machine Learning Models for Optimization
Artur Schweidtmann, Linus Netze, Alexander Mitsos

08:15 AM

(578b) Surrogate-Based Optimization Using Random Forests
Zuo Zeng, Bianca Williams, Selen Cremaschi

08:30 AM

(578c) Data-Driven Process Optimization Under Neural Network Surrogate Model Uncertainty
Shu-Bo Yang, Zukui Li

08:45 AM

(578d) A Unified Framework for Adjustable Robust Optimization with Endogenous Uncertainty and Active Learning
Wei Feng, Qi Zhang

09:00 AM

(578e) Simulation-Based Optimization with Embedded Dynamic Models Using a Data-Driven Spatial Branch-and-Bound Algorithm
Jianyuan Zhai, Fani Boukouvala

09:15 AM

(578f) Data-Driven Strategies for Optimization of Integrated Chemical Plants
Kaiwen Ma, Nick Sahinidis, Sreekanth Rajagopalan, Satyajith Amaran, Scott Bury

09:45 AM

(578h) On the Acceleration of quadratic Semidefinite Outer-Approximation Using Combinations of Cutting Plane Approximations and Data Analytics
Asimina Marousi, Antonios Kokosis