/* 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 */ #ifndef _edoBounderUniform_h #define _edoBounderUniform_h #include "edoBounder.h" /** A bounder that randomly draw new values for variables going out bounds, * in a given uniform distribution. * * @ingroup Repairers */ template < typename EOT > class edoBounderUniform : public edoBounder< EOT > { public: edoBounderUniform( EOT min, EOT max ) : edoBounder< EOT >( min, max ) { } void operator()( EOT& sol ) { assert( this->min().size() > 0 ); assert( this->max().size() > 0 ); assert( sol.size() > 0); assert( sol.size() == this->min().size() ); eo::log << eo::debug << "BounderUniform: from sol = " << sol; eo::log.flush(); unsigned int size = sol.size(); for (unsigned int d = 0; d < size; ++d) { if ( sol[d] < this->min()[d] || sol[d] > this->max()[d]) { // use EO's global "rng" sol[d] = rng.uniform( this->min()[d], this->max()[d] ); } } // for d in size eo::log << eo::debug << "\tto sol = " << sol << std::endl; } }; #endif // !_edoBounderUniform_h