paradiseo/edo/src/edoNormalMultiCenter.h
2012-07-09 22:58:55 +02:00

75 lines
2.2 KiB
C++

/*
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 <johann.dreo@thalesgroup.com>
Caner Candan <caner.candan@thalesgroup.com>
*/
#ifndef _edoNormalMultiCenter_h
#define _edoNormalMultiCenter_h
#include "edoModifierMass.h"
#include "edoNormalMulti.h"
#ifdef WITH_BOOST
//! edoNormalMultiCenter< EOT >
template < typename EOT >
class edoNormalMultiCenter : public edoModifierMass< edoNormalMulti< EOT > >
{
public:
typedef typename EOT::AtomType AtomType;
void operator() ( edoNormalMulti< EOT >& distrib, EOT& mass )
{
ublas::vector< AtomType > mean( distrib.size() );
std::copy( mass.begin(), mass.end(), mean.begin() );
distrib.mean() = mean;
}
};
#else
#ifdef WITH_EIGEN
template < typename EOT >
class edoNormalMultiCenter : public edoModifierMass< edoNormalMulti< EOT > >
{
public:
typedef typename EOT::AtomType AtomType;
// typedef typename edoNormalMulti<AtomType>::Vector Vector;
typedef Eigen::Matrix< AtomType, 1, Eigen::Dynamic, Eigen::RowMajor> Vector;
void operator() ( edoNormalMulti< EOT >& distrib, EOT& mass )
{
assert( distrib.size() == mass.innerSize() );
Vector mean( mass );
distrib.mean() = mean;
}
};
#endif // WITH_EIGEN
#endif // WITH_BOOST
#endif // !_edoNormalMultiCenter_h