Preliminary Program subject to change
10C05 Advances in Optimization II
OverviewAdvances in Optimization
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

Prasenjeet Ghosh
ExxonMobil. Process Research Laboratories
Paulsboro, NJ 08066
Phone Number: (856)224-3074
Email: prasenjeet.ghosh@exxonmobil.com

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
A Theoretical and Computational Comparison between Gdp Cuts, Disjunctive Cuts and Lift-and Project Cuts for Linear Generalized Disjunctive Programming
Nicolas W. Sawaya, Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213 and Ignacio E. Grossmann, Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
A New Approach for the Solution of Noisy Black-Box Models Involving Integer Variables
Eddie Davis and Marianthi Ierapetritou, Chemical & Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, NJ 08854
Improving the Integrality Gap Using a Novel Continuous-Time Scheduling Formulation Applied to a Challenging Industrial Benchmark Problem
Stacy L. Janak, Chemical Engineering, Princeton University, Engineering Quadrangle, Princeton, NJ 08540 and Christodoulos A. Floudas, Department of Chemical Engneering, Princeton University, Engineering Quadrangle, Princeton, NJ 08540
Strengthening the Continuous Time Formulation of a Mixed Plant Cyclic Scheduling Problem
François Warichet, Center for operations research and econometrics (CORE), Catholic University of Louvain, Voie du Roman Pays 34, Louvain-la-Neuve, 1348, Belgium and Yves Pochet, Center for operations research and econometrics (CORE) and Institut d'administration et de gestion (IAG), Catholic University of Louvain, Voie du Roman Pays 34, Louvain-la-Neuve, 1348, Belgium
Scheduling Complex Job-Shop with Re-Entrant Flow as Partially Observable Markov Decision Process (Pomdp) – Application to Semi-Conductor Manufacturing
Rakshita Agrawal1, Jay H. Lee1 and Matthew J. Realff2, (1)Chemical and Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive N. W., atlanta, GA 30332, (2)Chemical and Biomolecular Engineering, Georgia Tech, 311 Ferst Drive, N.W., Atlanta, GA 30332-0100
Lagrangean Decomposition Approaches for the Supply Chain Management Models of Stochastic Continuous Flexible Process Networks
Peter Chen and Jose M. Pinto, Othmer-Jacobs Department of Chemical and Biological Engineering, Polytechnic University, Six Metrotech Center, Brooklyn, NY 11201

Computing and Systems Technology Division