ICCOPT 2013 Plenary Session Mon.P.AA, Auditorium A, Monday, July 29, 09:00-10:00

 Speaker: Michael C. Ferris, University of Wisconsin, Madison, USA
 Title: Multiple optimization problems with equilibrium constraints
 Chair: Joaquim Joăo Júdice

Scientific Program

We present a mechanism for describing and solving collections of optimization problems that are linked by equilibrium conditions. The general framework of MOPEC (multiple optimization problems with equilibrium constraints) captures many example applications that involve independent decisions coupled by shared resources. Included in this class are classical models such as the PIES model, general equilibria with incomplete market models, and agent based formulations arising from Nash Games. We describe this mechanism in the context of energy planning, environmental and land-use problems, for example for capacity expansion, hydro operation, and water rights pricing. We show how to incorporate stochastic information into these systems and give examples of their use and their possible extensions to hierarchical modeling. We outline several algorithms and investigate their computational efficiency. We demonstrate how stochastic MOPECs can be implemented in modeling systems such as GAMS or AMPL.

 Short Bio:
Scientific Program

Michael C. Ferris is Professor of Computer Sciences and leads the Optimization Group within the Wisconsin Institutes for Discovery at the University of Wisconsin, Madison, USA. He received his PhD from the University of Cambridge, England in 1989. Dr. Ferris' research is concerned with algorithmic and interface development for large scale problems in mathematical programming, including links to the GAMS and AMPL modeling languages, and general purpose software such as PATH, NLPEC and EMP. He has worked on several applications of both optimization and complementarity, including cancer treatment plan development, radiation therapy, video-on-demand data delivery, economic and traffic equilibria, structural and mechanical engineering. Ferris is a SIAM fellow, an INFORMS fellow, received the Beale-Orchard-Hays prize from the Mathematical Programming Society and is a past recipient of a NSF Presidential Young Investigator Award, and a Guggenheim Fellowship. He serves on the editorial boards of Mathematical Programming, SIAM Journal on Optimization, Transactions of Mathematical Software, and Optimization Methods and Software.

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