CALL FOR PAPERS   
      
               Algorithmic Operations Research (AOR)   
           Special Issue on OR 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                         Juerg 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 (OR) 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 AOR requirements   
   and guidelines, which you can obtain at   
   http://journals.hil.unb.ca/index.php/AOR/information/authors/. (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.   
      
   [ comp.ai is moderated ... your article may take a while to appear. ]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)