CALL FR PAPERS
Algorithmic Research (AR)
Special Issue on Modeling Under Uncertainty
DEADLINE: April 1, 2007
Guest Editors
Harvey J. Greenberg (Ed.) John Birge
University of Colorado at Denver University of Chicago
Harvey.Greenberg@cudenver.edu John.Birge@ChicagoGSB.edu
George Klir J Kohlas
Binghamton University (SUNY) University of Fribourg
gklir@binghamton.edu Juerg.Kohlas@unifr.ch
Pascal Van Hentenryck Ronald R. Yager
Brown University Iona College
pvh@cs.brown.edu yager@panix.com
This issue seeks papers that address alternative measures of
uncertainty (probability vs. possibility vs. Dempster-Shafer vs.
rough sets ) and/or alternative modeling paradigms (mean-risk
vs. recourse vs. chance-constrained vs. robust ). The
underlying problem is one with which operations research (R) is
concerned. The results may be algorithmic, or they may be about a
model formulation and its scope for decision support. Both may be
relevant, such as the analyzing the meaning of a solution when
using a Monte Carlo method to solve a decomposed optimization
model.
All submissions must be by email, following the AR requirements
and guidelines, which you can obtain at
(A
pdf file is preferred, and if accepted, you will need to provide
the latex source code and all figure files.) Send your submission
to any member of the Editorial Board; if you submit to an
Associate Editor, please cc the Guest Editor. You should receive
an acknowledgement; if not, please forward to Harvey Greenberg.