EvolvingObjects
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00001 // -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- 00002 00003 //----------------------------------------------------------------------------- 00004 // eoScalarFitnessStat.h 00005 // (c) Marc Schoenauer, Maarten Keijzer and GeNeura Team, 2000, 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: todos@geneura.ugr.es, http://geneura.ugr.es 00022 Marc.Schoenauer@polytechnique.fr 00023 mkeijzer@dhi.dk 00024 */ 00025 //----------------------------------------------------------------------------- 00026 00027 #ifndef _eoScalarFitnessStat_h 00028 #define _eoScalarFitnessStat_h 00029 00030 #include <utils/eoRealVectorBounds.h> 00031 #include <utils/eoStat.h> 00032 00038 template <class EOT, class FitT = typename EOT::Fitness> 00039 class eoScalarFitnessStat : public eoSortedStat<EOT, std::vector<double> > 00040 { 00041 public: 00042 00043 using eoSortedStat<EOT, std::vector<double> >::value; 00044 00045 eoScalarFitnessStat(std::string _description = "FitnessES", 00046 eoRealVectorBounds & _bounds = eoDummyVectorNoBounds) 00047 : eoSortedStat<EOT, std::vector<double> >(std::vector<double>(0), _description), 00048 range(*_bounds[0]) 00049 {} 00050 00051 virtual void operator()(const std::vector<const EOT*>& _popPters) 00052 { 00053 value().resize(_popPters.size()); 00054 for (unsigned i=0; i<_popPters.size(); i++) 00055 { 00056 value()[i] = _popPters[i]->fitness(); 00057 range.truncate(value()[i]); 00058 } 00059 } 00060 00061 private : 00062 eoRealBounds & range; 00063 }; 00064 00065 #endif