@techreport{TR-IC-14-11,
   number = {IC-14-11},
   author  =  {Cleber Mira and Paulo Viadanna and Maria Angélica Souza
                   and  Arnaldo  Moura  and  João Meidanis and Gabriel
                   Lima and Renato P. Bossolan},
   title  =  {{Project  Scheduling  Optimization  in Energy Generation
                   Plants}},
   month = {July},
   year = {2014},
   institution = {Institute of Computing, University of Campinas},
   note = {In English, 22 pages.
    \par\selectlanguage{english}\textbf{Abstract}
       The  problem  of  choosing  from  a  set of projects which ones
       should  be  executed  and  when they should start, depending on
       several  restrictions  involving  project costs, risks, limited
       resources,   dependencies   among   projects,   and  aiming  at 
       different,  even  conflicting,  goals  is  known as the project
       portfolio  selection  (PPS)  problem.  We  study  a  particular 
       version  of  the  PPS  problem stemming from the operation of a
       real  power generation company. It includes distinct categories
       of  resources,  intricate  dependencies between projects, which
       are specially important for the management of power plants, and
       the  prevention  of risks. We present an algorithm based on the
       GRASP  meta-heuristic  for finding better results than a manual
       solution   produced   by  specialists.  The  algorithm  yielded 
       solutions that decreased the risk by $47\%$, as measured by the
       company’s standard methodology.
  }
}