85 lines
2.4 KiB
C++
85 lines
2.4 KiB
C++
/*
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The Evolving Distribution Objects framework (EDO) is a template-based,
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ANSI-C++ evolutionary computation library which helps you to write your
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own estimation of distribution algorithms.
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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Copyright (C) 2010 Thales group
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*/
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/*
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Authors:
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Johann Dréo <johann.dreo@thalesgroup.com>
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Caner Candan <caner.candan@thalesgroup.com>
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*/
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#ifndef _edoNormalMultiCenter_h
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#define _edoNormalMultiCenter_h
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#include "edoModifierMass.h"
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#include "edoNormalMulti.h"
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#ifdef WITH_BOOST
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/** Changes a given distribution's mean by a given EOT.
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*
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* @ingroup Modifiers
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* @ingroup EMNA
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* @inngroup Multinormal
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*/
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template < typename EOT >
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class edoNormalMultiCenter : public edoModifierMass< edoNormalMulti< EOT > >
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{
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public:
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typedef typename EOT::AtomType AtomType;
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void operator() ( edoNormalMulti< EOT >& distrib, EOT& mass )
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{
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ublas::vector< AtomType > mean( distrib.size() );
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std::copy( mass.begin(), mass.end(), mean.begin() );
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distrib.mean() = mean;
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}
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};
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#else
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#ifdef WITH_EIGEN
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/** Changes a given distribution's mean by a given EOT.
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*
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* @ingroup Modifiers
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*/
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template < typename EOT, typename D = edoNormalMulti< EOT > >
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class edoNormalMultiCenter : public edoModifierMass<D>
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{
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public:
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typedef typename EOT::AtomType AtomType;
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typedef typename D::Vector Vector;
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void operator() ( edoNormalMulti< EOT >& distrib, EOT& mass )
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{
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assert( distrib.size() == mass.innerSize() );
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Vector mean( distrib.size() );
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for( unsigned int i=0; i < distrib.size(); i++ ) {
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mean(i) = mass[i];
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}
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distrib.mean() = mean;
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}
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};
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#endif // WITH_EIGEN
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#endif // WITH_BOOST
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#endif // !_edoNormalMultiCenter_h
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