522 Advances in MINLP and Global Optimization


Description:
Optimization methods algorithms form the core tools for process operations and process systems engineering in general. The session invites papers in the general area of Process Systems Optimization. Topics on theory, algorithms and software for all classes of optimization problems are considered. Application papers offering insights into the interplay between optimization theory and practice are also encouraged.

Sponsor:
Computers in Operations and Information Processing


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

Co-Chair:
Nihar Sahay
Senior Engineer
Aspen Technology
98 Brett Road
Houston, TX
08854
Email: nihar.iitr@gmail.com


Papers:
Global Optimization of Nonconvex Problems with Convex-Transformable Intermediates
Carlos Nohra, Carnegie Mellon University; Nick Sahinidis, Carnegie Mellon University
Deterministic Global Optimization Algorithm Using Piecewise Relaxations and Bound Tightening with Dynamic Partitioning
Pedro A. Castillo Castillo, McMaster University; Pedro M. Castro, Faculdade de Ciências, Universidade de Lisboa; Vladimir Mahalec, McMaster University
A Level-Based Quadratic Outer Approximation Algorithm for Convex MINLP
Jan Kronqvist, Åbo Akademi University; David E. Bernal, Carnegie Mellon University; Ignacio E. Grossmann, Carnegie Mellon University
Heuristic for Improved Mccormick Relaxations in a Branch-and-Bound Framework
Jaromił Najman, RWTH Aachen University; Alexander Mitsos, RWTH Aachen University
Scalable Global Algorithms for Stochastic Nonlinear Programming
Victor M. Zavala, University of Wisconsin-Madison; Yankai Cao, University of Wisconsin-Madison
Analysis of the Alternating Direction Method of Multipliers for the Optimization of Distributed Nonconvex Systems
Stuart Harwood, ExxonMobil Research and Engineering Company; Shivakumar Kameswaran, ExxonMobil Research and Engineering Company; Thomas A. Badgwell, Corporate Strategic Research, ExxonMobil Research and Engineering Company
Abstract Submissions Closed
See more of this Group/Topical: Computing and Systems Technology Division