Monday, May 10

Interval Computing: Challenging Problems in Chemical Engineering Optimization

10:45 AM-12:45 PM
Room: Georgia 7

Chemical engineers deal with nonlinear models of physical phenomena and models of manufacturing processes exploiting these phenomena. Thus one needs rigorous, deterministic techniques for reliably finding the global optimum in nonlinear optimization problems, and for doing so with mathematical and computational certainty, providing automatic result verification. Interval computing provides an approach that meets these needs for many challenging problems in chemical engineering. This minisymposium focuses on describing such problems and how they are being attacked using interval computing.

Organizers: Mark A. Stadtherr
University of Notre Dame
Luke E. K. Achenie
University of Connecticut, Storrs

10:45-11:10 Reliable Process Modeling and Optimization Using Interval Computing
Chao-Yang Gau, Robert W. Maier, Gang Xu, University of Notre Dame; and Mark A. Stadtherr, Organizer
11:15-11:40 Interval-Based Techniques for Mass Integration
M. Bahy Noureldin, Mark Shelley and Mahmoud El-Halwagi, Auburn University
11:45-12:10 Product Line Development in Chemical Engineering Through Interval Analysis and MINLP
Matthew J. Realff, Georgia Institute of Technology; and Brett Schug, MFG Technology Center
12:15-12:40 Interval Analysis Methods for Molecular Design Under Uncertainty
Manish Sinha, University of Connecticut, Storrs; Luke E. K. Achenie, Organizer; and Gennadi M. Ostrovski, University of Connecticut, Storrs

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