Preliminary Program subject to change
10C02 Advances in Optimization I
OverviewOptimization (local and global) has been the focus of numerous publications in the last few decades. A lot of advantages have thus been reported in terms of algorithmic developments to address issues of global optimality for cases of realistic complex models involving discrete decisions and complicated nonconvex formulations. However, a number of issues are still unresolved and require the attention of additional work in this area. Among them are questions regarding the efficient solution of large-scale problems and the applicability of the proposed methodologies in realistic case studies. Papers are sought that describe modeling of complex optimization problems, algorithmic development and efficient solution procedures to address the dimensionality of real case studies, and novel ideas in terms of problem representation to reduce the computational complexity of the resulted optimization formulations.
Primary SponsorComputers in Operations and Information Processing (10c)

Chair

Randy Esposito
Development Associate
Praxair
175 East Park Drive
PO Box 44
Tonawanda, NY 14150
Phone Number: (716) 879-2406
Fax Number: (716) 879-7091
Email: randy_esposito@praxair.com

CoChair

Marianthi Ierapetritou
Professor
Rutgers University
Department of Chemical and Biochemical Engineering
98 Brett Road
Piscataway, NJ 08854-8058
Phone Number: 732-445-2971
Fax Number: 732-445-2421
Email: marianth@sol.rutgers.edu
Parametric Mixed-Integer Linear Programming: the General Case
Alexander Mitsos, Department of Chemical Engineering, Massachusetts Institute of Technology, 66-363, 77 Massachusetts Avenue, Cambridge, MA 02139 and Paul I. Barton, Department of Chemical Engineering, Massachusetts Institute of Technology, 66-464, 77 Massachusetts Avenue, Cambridge, MA 02139
Uncertainty Analysis of Milp Problems
Zhenya Jia, Chemical and Biochemical Engineering, Rutgers University, 98 Brett Road, Piscataway, NJ 08854 and Marianthi Ierapetritou, Rutgers University, Department of Chemical and Biochemical Engineering, 98 Brett Road, Piscataway, NJ 08854-8058
Improving Mixed Integer Linear Programming Formulations
Archana Khurana1, Arul Sundaramoorthy1 and I.A. Karimi2, (1)The Logistics Institute - Asia Pacific, National University of Singapore, Singapore 119260, Singapore, (2)Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 119260, Singapore
Integrating Cutting Planes into Solution Methods for Non-Linear Disjunctive Programming Problems
Nicolas W. Sawaya and Ignacio E. Grossmann, Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
Interior Point Solution of Multilevel Qp Problems Arising in Embedded Mpc Formulations
Christopher L. E. Swartz and Rhoda Baker, Chemical Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4L7, Canada
Mip in Agent Systems: Algorithmic Collaboration or the Lack Thereof
John D. Siirola and Steinar Hauan, Dept. of Chemical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213
Efficient Optimization Algorithm for Large Scale Problems in Nonlinear Stochastic Programming
Yogendra Shastri, University of Illinois at Chicago/Vishwamitra Research Institute, Center for Uncertain Systems: Tools for Optimization and Management, Chicago, IL 60514 and Urmila Diwekar, Center for Uncertain Systems: Tools for Optimization and Management (CUSTOM), Vishwamitra Research Institute, Westmont, IL 60559

Computing and Systems Technology Division