Preliminary Program subject to change
10C09 Advances in Optimization
OverviewThis session emphasises recent advancements in optimization as applied to Chemical Engineering. Papers that discuss novel local, global, deterministic, and/or stochastic optimization theory and application to Chemical Engineering problems are of particular interest.
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

John Siirola
Senior Member of Technical Staff
Exploratory Simulation Technologies
Sandia National Laboratories
P. O. Box 5800 - MS 0370
Albuquerque, NM 87185-0370
Phone Number: (505) 284-5419
Fax Number: (505) 284-0154
Email: jdsiiro@sandia.gov

CoChair

Vipin Gopal
United Technologies Research Center
411 Silver Lane
M/S 129-15
Hartford, CT 06040
Phone Number: (860)610-7442
Fax Number: (860)610-7442
Email: GopalV@UTRC.utc.com
Solving The Stochastic Shortest Path Problem: Exploring Via Extensive Simulations The Usage Of A Real Time Approximate Dynamic Programming Approach
Nikolaos Pratikakis, Chemical and Biomolecular Engineering, Georgia Institute of Technology, Ford Environmental Science & Technology Building 311 Ferst Drive, N.W., Atlanta, GA 30332, Jay H. Lee, School of Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Dr. NW, Atlanta, GA 30332-0100 and Matthew J. Realff, Chemical and Biomolecular Engineering, Georgia Tech, 311 Ferst Drive, N.W., Atlanta, GA 30332-0100
A Moving Horizon Estimation Algorithm Based on Nlp Sensitivity
Victor M. Zavala and Lorenz T. Biegler, Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213
Adjoint Sensitivity Analysis Of Index-1 Multistage Differential-Algebraic Equations
Benoît Chachuat and Dominique Bonvin, Automatic Control Laboratory, Ecole Polytechnique Federale de Lausanne (EPFL), Station 9, Lausanne, CH-1015, Switzerland
Efficient Parallel Solution of Dae Constrained Optimization Problems with Loosely Coupled Algebraic Components
Carl D. Laird1, Victor M. Zavala2 and Lorenz T. Biegler2, (1)Chemical Engineering, Texas A&M University, 3122 TAMU, College Station, TX 77843, (2)Department of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213
Using Grid Computing to Solve Hard Mip Scheduling Problems
Christos T. Maravelias, University of Wisconsin - Madison, 1415 Engineering Drive, Madison, WI 53706, Arul Sundaramoorthy, Chemical and Biological Engineering, University of Wisconsin - Madison, 1415 Engineering Drive, Madison, WI 53706 and Michael Ferris, Computer Sciences, University of Wisconsin - Madison, 1415 Engineering Drive, Madison, WI 53706
A Novel Integer Minimal Principle with Atomicity Constraints for Phasing Single-Crystal X-Ray Diffraction Data
Alexander B. Smith and Nick Sahinidis, University of Illinois, Department of Chemical and Biomolecular Engineering, 600 South Mathews Avenue, Urbana, IL 61801

Computing and Systems Technology Division