EvolvingObjects
eoPBILOrg.h
00001 // -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
00002 
00003 //-----------------------------------------------------------------------------
00004 // eoPBILOrg.h
00005 // (c) Marc Schoenauer, Maarten Keijzer, 2001
00006 /*
00007     This library is free software; you can redistribute it and/or
00008     modify it under the terms of the GNU Lesser General Public
00009     License as published by the Free Software Foundation; either
00010     version 2 of the License, or (at your option) any later version.
00011 
00012     This library is distributed in the hope that it will be useful,
00013     but WITHOUT ANY WARRANTY; without even the implied warranty of
00014     MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
00015     Lesser General Public License for more details.
00016 
00017     You should have received a copy of the GNU Lesser General Public
00018     License along with this library; if not, write to the Free Software
00019     Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
00020 
00021     Contact: Marc.Schoenauer@polytechnique.fr
00022              mkeijzer@dhi.dk
00023  */
00024 //-----------------------------------------------------------------------------
00025 
00026 #ifndef _eoPBILOrg_H
00027 #define _eoPBILOrg_H
00028 
00029 #include <eoDistribUpdater.h>
00030 #include <ga/eoPBILDistrib.h>
00031 
00041 template <class EOT>
00042 class eoPBILOrg :  public eoDistribUpdater<EOT>
00043 {
00044 public:
00046   eoPBILOrg(double _LR, double _tolerance=0.0 ) :
00047     LR(_LR), maxBound(1.0-_tolerance), minBound(_tolerance)
00048   {}
00049 
00050 
00052   virtual void operator()(eoDistribution<EOT> & _distrib, eoPop<EOT>& _pop)
00053   {
00054     const EOT & best = _pop.best_element();
00055     eoPBILDistrib<EOT>& distrib = dynamic_cast<eoPBILDistrib<EOT>&>(_distrib);
00056 
00057     std::vector<double> & p = distrib.value();
00058 
00059     for (unsigned g=0; g<distrib.size(); g++)
00060       {
00061         //      double & r = value()[g];
00062         p[g] *= (1-LR);
00063         if ( best[g] )
00064           p[g] +=  LR;
00065         // else nothing
00066 
00067         // stay away from 0 and 1
00068         p[g] = std::min(maxBound, p[g]);
00069         p[g] = std::max(minBound, p[g]);
00070       }
00071   }
00072 
00073 private:
00074   double LR;    // learning rate for best guys
00075   double maxBound, minBound;    // proba stay away from 0 and 1 by at least tolerance
00076 };
00077 
00078 #endif
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