本文整理汇总了C++中nomad::Eval_Point::set_f方法的典型用法代码示例。如果您正苦于以下问题：C++ Eval_Point::set_f方法的具体用法？C++ Eval_Point::set_f怎么用？C++ Eval_Point::set_f使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类nomad::Eval_Point的用法示例。
在下文中一共展示了Eval_Point::set_f方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: Exception
/*------------------------------------------------------------------*/
void NOMAD::Phase_One_Evaluator::compute_f(NOMAD::Eval_Point &x) const
{
if (x.get_bb_outputs().size() != _p.get_bb_nb_outputs())
{
std::ostringstream err;
err << "Phase_One_Evaluator::compute_f(x): "
<< "x has a wrong number of blackbox outputs ("
<< x.get_bb_outputs().size() << " != " << _p.get_bb_nb_outputs() << ")";
throw NOMAD::Exception("Phase_One_Evaluator.cpp" , __LINE__ , err.str());
}
// objective value for MADS phase 1: the squared sum of all EB constraint violations
// (each EB constraint has been previously transformed into OBJ values):
const std::list<int> &index_obj = _p.get_index_obj();
const std::list<int>::const_iterator end = index_obj.end();
const NOMAD::Point &bbo = x.get_bb_outputs();
NOMAD::Double h_min = _p.get_h_min();
NOMAD::Double sum = 0.0;
NOMAD::Double v;
for (std::list<int>::const_iterator it = index_obj.begin() ; it != end ; ++it)
{
v = bbo[*it];
if (v > h_min)
sum += v.pow2();
}
x.set_f(sum);
}示例2: Exception
/*--------------------------------------------------------*/
void NOMAD::Evaluator::compute_f ( NOMAD::Eval_Point & x ) const
{
if ( x.get_bb_outputs().size() != _p.get_bb_nb_outputs() ) {
std::ostringstream err;
err << "Evaluator::compute_f(x): x has a wrong number of blackbox outputs ("
<< x.get_bb_outputs().size() << " != "
<< _p.get_bb_nb_outputs() << ")";
throw NOMAD::Exception ( "Evaluator.cpp" , __LINE__ , err.str() );
}
x.set_f ( x.get_bb_outputs()[*(_p.get_index_obj().begin())] );
}示例3: Exception
/*-------------------------------------------------------------*/
void NOMAD::Multi_Obj_Evaluator::compute_f ( NOMAD::Eval_Point & x ) const
{
if ( _i1 < 0 || _i2 < 0 )
throw NOMAD::Exception ( "Multi_Obj_Evaluator.cpp" , __LINE__ ,
"Multi_Obj_Evaluator::compute_f(): no objective indexes defined" );
int obj_index [2];
obj_index[0] = _i1;
obj_index[1] = _i2;
const NOMAD::Point & bbo = x.get_bb_outputs();
// a reference is available:
if ( _ref )
{
NOMAD::multi_formulation_type mft = _p.get_multi_formulation();
if ( mft == NOMAD::UNDEFINED_FORMULATION )
throw NOMAD::Exception ( "Multi_Obj_Evaluator.cpp" , __LINE__ ,
"Multi_Obj_Evaluator::compute_f(): no formulation type is defined" );
// normalized formulation:
if ( mft == NOMAD::NORMALIZED || mft == NOMAD::DIST_LINF ) {
// f1 - r1:
NOMAD::Double d = bbo[obj_index[0]] - (*_ref)[0];
// f2 - r2:
NOMAD::Double f2mr2 = bbo[obj_index[1]] - (*_ref)[1];
// we take the max:
if ( f2mr2 > d )
d = f2mr2;
x.set_f ( d );
}
// product formulation:
else if ( mft == NOMAD::PRODUCT ) {
NOMAD::Double prod = 1.0 , ri , fi;
for ( int i = 0 ; i < 2 ; ++i ) {
ri = (*_ref)[i];
fi = bbo[obj_index[i]];
if ( fi > ri ) {
prod = 0.0;
break;
}
prod = prod * (ri-fi).pow2();
}
x.set_f ( -prod );
}
// distance formulation:
else {
NOMAD::Double d;
NOMAD::Double r1mf1 = (*_ref)[0] - bbo[obj_index[0]];
NOMAD::Double r2mf2 = (*_ref)[1] - bbo[obj_index[1]];
if ( r1mf1 >= 0.0 && r2mf2 >= 0.0 ) {
d = r1mf1.pow2();
NOMAD::Double tmp = r2mf2.pow2();
if ( tmp < d )
d = tmp;
d = -d;
}
else if ( r1mf1 <= 0.0 && r2mf2 <= 0.0 ) {
// with L2 norm:
if ( mft == NOMAD::DIST_L2 )
d = r1mf1.pow2() + r2mf2.pow2();
// with L1 norm:
else
d = (r1mf1.abs() + r2mf2.abs()).pow2();
// Linf norm: treated as NORMALIZED
}
else if ( r1mf1 > 0.0 )
d = r2mf2.pow2();
else
d = r1mf1.pow2();
x.set_f ( d );
}
}
// no reference is available (use weights):
else
x.set_f ( _w1 * bbo[obj_index[0]] + _w2 * bbo[obj_index[1]] );
}