[Optimization-society] Seattle Nov. 3 Workshop on Robust Optimization, Stochastic Programming and Simulation Optimization

[Daniel H. Fylstra]

How does robust optimization compare with stochastic programming?  How do
both compare with simulation optimization?  What's the best way to tackle an
optimization problem with uncertainty in its parameters?  Even more
important: What do you need to know about the problem in order to choose the
right method?

At INFORMS Seattle on Saturday Nov. 3, Frontline Systems is presenting a
Pre-Conference Workshop to answer these questions, with demonstrations of
solving optimization problems using all three of these methods.  You are
cordially invited to attend, free of charge.

DATE AND TIME:
   Saturday, November 3, 2007 - 12 noon - 3 pm

LOCATION:
   Sheraton Seattle Hotel, 1400 6th Ave, Seattle, WA
   4th Floor - Jefferson Room

We'll deal with crucial issues about modeling the problem, such as:  Are the
uncertainties independent of, or dependent on the decisions?  Will the
uncertainties be revealed over time - Are recourse decisions possible?  Can
we solve a large-scale version of this problem?

We'll have free CDs with final beta versions of our latest software, Premium
Solver Platform V8.0 Stochastic Edition for Microsoft Excel, as well as our
other products.  We've love to see you, and receive your feedback on our
efforts to tackle the challenging problems of optimizing uncertain models.
Questions?  Please email me directly at daniel at solver.com.

Thanks and regards,

Daniel H. Fylstra, President
Frontline Systems, Inc.
P.O. Box 4288, Incline Village, NV 89450
Tel 775-831-0300 x120 Fax 775-831-0314
Email daniel at solver.com 
Web www.solver.com