/*-------------------------------------------------------------------------------------*/ /* NOMAD - Nonlinear Optimization by Mesh Adaptive Direct search - version 3.6.1 */ /* */ /* Copyright (C) 2001-2012 Mark Abramson - the Boeing Company, Seattle */ /* Charles Audet - Ecole Polytechnique, Montreal */ /* Gilles Couture - Ecole Polytechnique, Montreal */ /* John Dennis - Rice University, Houston */ /* Sebastien Le Digabel - Ecole Polytechnique, Montreal */ /* Christophe Tribes - Ecole Polytechnique, Montreal */ /* */ /* funded in part by AFOSR and Exxon Mobil */ /* */ /* Author: Sebastien Le Digabel */ /* */ /* Contact information: */ /* Ecole Polytechnique de Montreal - GERAD */ /* C.P. 6079, Succ. Centre-ville, Montreal (Quebec) H3C 3A7 Canada */ /* e-mail: nomad@gerad.ca */ /* phone : 1-514-340-6053 #6928 */ /* fax : 1-514-340-5665 */ /* */ /* This program 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 3 of the License, or (at your option) any later */ /* version. */ /* */ /* This program 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 program. If not, see . */ /* */ /* You can find information on the NOMAD software at www.gerad.ca/nomad */ /*-------------------------------------------------------------------------------------*/ /** \file TGP_Model_Evaluator.cpp \brief NOMAD::Evaluator subclass for TGP model optimization (implementation) \author Sebastien Le Digabel \date 2011-02-17 \see TGP_Mopel_Evaluator.hpp */ #ifndef USE_TGP int TGP_MODEL_EVALUATOR_DUMMY; // avoids that TGP_Model_Evaluator.o has no symbols with ranlib #else #include "TGP_Model_Evaluator.hpp" /*------------------------------------------------------------------------*/ /* evaluate the TGP model at a given trial point */ /*------------------------------------------------------------------------*/ bool NOMAD::TGP_Model_Evaluator::eval_x ( NOMAD::Eval_Point & x , const NOMAD::Double & h_max , bool & count_eval ) const { count_eval = true; if ( !_model.predict ( x , true ) ) return false; return true; } #endif