// -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*- //----------------------------------------------------------------------------- // eoScalarFitnessStat.h // (c) Marc Schoenauer, Maarten Keijzer and GeNeura Team, 2000, 2001 /* This library is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This library is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details. You should have received a copy of the GNU Lesser General Public License along with this library; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA Contact: todos@geneura.ugr.es, http://geneura.ugr.es Marc.Schoenauer@polytechnique.fr mkeijzer@dhi.dk */ //----------------------------------------------------------------------------- #ifndef _eoScalarFitnessStat_h #define _eoScalarFitnessStat_h #include #include /** The fitnesses of a whole population, as a std::vector */ template class eoScalarFitnessStat : public eoSortedStat > { public : eoScalarFitnessStat(std::string _description = "FitnessES", eoRealVectorBounds & _bounds = eoDummyVectorNoBounds) : eoSortedStat >(std::vector(0), _description) , range(*_bounds[0]) {} virtual void operator()(const std::vector& _popPters) { value().resize(_popPters.size()); for (unsigned i=0; i<_popPters.size(); i++) { value()[i] = _popPters[i]->fitness(); range.truncate(value()[i]); } } private : eoRealBounds & range; }; #endif