@techreport{TR-IC-11-15,
   number = {IC-11-15},
   author = {Giovani Chiachia and Alexandre Xavier Falcão and Anderson
                   Rocha},
   title  =  {{Multiscale  Parameter  Search  (MSPS):  A Deterministic
                   Approach for Black-box Global Optimization}},
   month = {July},
   year = {2011},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 25 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       Optimization  problems from where no structural information can
       be  obtained  arise  everyday  in  many  fields  of  knowledge, 
       increasing   the   importance   of   well-performing  black-box 
       optimizers.  In  this  paper,  we  introduce a new approach for
       global   optimization   of  black-box  problems  based  on  the 
       synergistic  combination  of  scaled local searches. By looking
       farther to the behavior of the problem, the idea is to speed up
       the  search  while  avoiding  it to become locally trapped. The
       method  is fairly compared to other well-performing techniques,
       showing  promising results. A testbed of benchmark problems and
       image  registration  problems  are  considered and the proposed
       approach outperforms the other algorithms in most cases.
  }
}