Monday, May 10
MS7
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
MMD, 2/2/99