/* The Evolving Distribution Objects framework (EDO) is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own estimation of distribution algorithms. 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 2.1 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., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA Copyright (C) 2010 Thales group */ /* Authors: Johann Dréo Caner Candan */ #ifndef _edoSampler_h #define _edoSampler_h #include #include "edoRepairer.h" #include "edoBounderNo.h" //! edoSampler< D > template < typename D > class edoSampler : public eoUF< D&, typename D::EOType > { public: typedef typename D::EOType EOType; edoSampler(edoRepairer< EOType > & repairer) : _dummy_repairer(), _repairer(repairer) {} edoSampler() : _dummy_repairer(), _repairer( _dummy_repairer ) {} // virtual EOType operator()( D& ) = 0 (provided by eoUF< A1, R >) EOType operator()( D& distrib ) { unsigned int size = distrib.size(); assert(size > 0); // Point we want to sample to get higher a set of points // (coordinates in n dimension) // x = {x1, x2, ..., xn} // the sample method is implemented in the derivated class EOType solution(sample(distrib)); // Now we are bounding the distribution thanks to min and max // parameters. _repairer(solution); return solution; } protected: virtual EOType sample( D& ) = 0; private: edoBounderNo _dummy_repairer; //! repairer functor edoRepairer< EOType > & _repairer; }; #endif // !_edoSampler_h