441 Advances in Optimization Under Uncertainty


Description:
Process Systems Engineering has been heavily rooted in our ability to formulate models and analyze data so as to make good decisions. This session thus invites papers that contemplate advances in the theory, methods and numerical algorithms for optimal decision-making. Whereas demonstration of the contributions via examples drawn from specific application contexts are encouraged, papers should define in mathematical terms the broader problem class in which the contribution is relevant. All classes of optimization problems are considered.

Sponsor:
Computers in Operations and Information Processing


Chair:
Ruth Misener
Imperial College
Department of Computing
London
Email: r.misener@imperial.ac.uk

Co-Chair:
Fani Boukouvala
Assistant Professor
Georgia Institute of Technology
School of Chemical and Biomolecular Engineering
Atlanta, GA
77843
Email: fani.boukouvala@chbe.gatech.edu


Papers:
A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs
Yankai Cao, University of Wisconsin-Madison; Victor M. Zavala, University of Wisconsin-Madison
On Solving Nonconvex Two-Stage Stochastic Programs with Generalized Benders Decomposition
Can Li, CARNEGIE MELLON UNIVERSITY; Ignacio E. Grossmann, Carnegie Mellon University
New Developments in Flexibility Analysis in the Framework of Design Space Definition
M. Paz Ochoa, Carnegie Mellon University; Carla Luciani, Eli Lilly and Company; Stephen D. Stamatis, Eli Lilly and Company; Salvador García-Muñoz, D; Ignacio E. Grossmann, Carnegie Mellon University
Adaptive Robust Optimization Under Uncertainty with Regret
Chao Ning, Cornell University; Fengqi You, Cornell University
Hybrid Decision Rules in Multistage Adaptive Optimization
Said Rahal, University of Alberta; Zukui Li, University of Alberta
An Algorithmic Cutting Plane Method for Solving Robust Optimization Problems with Endogenous Uncertainty
Nikolaos Lappas, Carnegie Mellon University; Anirudh Subramanyam, Carnegie Mellon University; Chrysanthos E. Gounaris, Carnegie Mellon University
Robust Explicit Optimization and Control within the Paroc Framework
Nikolaos A. Diangelakis, Texas A&M University; Richard Oberdieck, Orsted A/S; Iosif S. Pappas, Texas A&M University; Efstratios N. Pistikopoulos, Texas A&M Energy Institute, Texas A&M University
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division