2021 Annual Meeting

Session: Data-driven optimization

Co-Chairs

Panagiotis Petsagkourakis, University College London
Atharv Bhosekar, Rutgers University

Presentations

12:30 PM

(476a) On the Use of Data Analytics Technology to Replace Dual Problems and Improve Decomposition Algorithms for Global Optimization Using Cutting Plane Approximations
Asimina Marousi, Vasiliki Deligianni, Apostolos Chalkias, Antonios Kokosis

12:49 PM

(476b) Deep Neural Network As Surrogates for Intractable Constraints and Problem Dimension Reduction: Security Constrained AC Optimal Power Flow
Carl Laird, Jordan Jalving, Michael Eydenberg, Logan Blakely, Zachary Kilwein, Fani Boukouvala

01:08 PM

(476c) Optimization of Fischer-Tropsch Microchannel Reactor Using Computational Fluid Dynamics and Transfer-Learned Bayesian Optimization.
Kyoungmin Lee, Jong Min Lee

01:27 PM

(476d) Computations and Optimization for Catalysts Under Dynamic Operation
Paul Dauenhauer, Mihalis Kavousanakis, Georgios Psarellis, Ioannis G. Kevrekidis

02:05 PM

(476f) Digitalizing the Process Industries Via Surrogate Optimization
Damien van de Berg, Panagiotis Petsagkourakis, Nilay Shah, Tom Savage, Damien van de Berg

02:24 PM

(476g) Integration of Planning and Scheduling Using Data-Driven Feasibility Analysis
Oluwadare Badejo, Marianthi Ierapetritou

02:43 PM

(476h) Training and Reformulating Neural Network Surrogate Models for Optimization
Calvin Tsay, Jan Kronqvist, Alexander Thebelt, Ruth Misener