253 Advances in Deterministic Global Optimization


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:
Selen Cremaschi
Associate Professor
Auburn University
Department of Chemical Engineering
800 South Tucker Drive
Auburn, AL
74104
Fax Number: 918-631-3268
Email: selen-cremaschi@auburn.edu

Co-Chair:
Kamil A. Khan
McMaster University
Department of Chemical Engineering
Hamilton, ON
02139
Email: kamilkhan@mcmaster.ca


Papers:
Enhancing Relaxations for Nonconvex Mixed-Integer Quadratically-Constrained Quadratic Programs
Carlos Nohra, Carnegie Mellon University; Aida Khajavirad, Carnegie Mellon University; Nick Sahinidis, Carnegie Mellon University
Advances in Decomposition Strategies for Non-Convex Nonlinear Programs
Jose S. Rodriguez, Purdue University; Bethany Nicholson, Center for Computing Research, Sandia National Laboratories; Carl D. Laird, Sandia National Laboratories; Victor M. Zavala, University of Wisconsin-Madison
Online Generation Via Offline Selection of Strong Linear Cuts from a Semidefinite Programming Relaxation
Radu Baltean-Lugojan, Imperial College London; Pierre Bonami, IBM; Andrea Tramontani, IBM; Ruth Misener, Imperial College
New Underestimator and Branching Scheme for the Global Optimization of General Nonconvex Problems
Ishan Bajaj, Texas A&M University; M. M. Faruque Hasan, Texas A&M University
On Piecewise Under- and over-Estimators of Fractional Terms
Radhakrishna Tumbalam Gooty, Purdue University; Rakesh Agrawal, Purdue University; Mohit Tawarmalani, Purdue University
Quadratic Underestimators of Differentiable Mccormick Relaxations for Deterministic Global Optimization
Matthew Wilhelm, University of Connecticut; Matthew D. Stuber, University of Connecticut
A Novel Branching Scheme for Problems with Reverse Convex Quadratic Constraints and Its Application to Packing Problems
Akang Wang, Carnegie Mellon University; Christopher L. Hanselman, Carnegie Mellon University; Chrysanthos E. Gounaris, Carnegie Mellon University
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division