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📄 muwcommalambdacmafltvecop.hpp

📁 非常好的进化算法EC 实现平台 可以实现多种算法 GA GP
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/* *  Open BEAGLE *  Copyright (C) 2001-2005 by Christian Gagne and Marc Parizeau * *  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., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA * *  Contact: *  Laboratoire de Vision et Systemes Numeriques *  Departement de genie electrique et de genie informatique *  Universite Laval, Quebec, Canada, G1K 7P4 *  http://vision.gel.ulaval.ca * *//*! *  \file   beagle/GA/MuWCommaLambdaCMAFltVecOp.hpp *  \brief  Definition of the class MuWCommaLambdaCMAFltVecOp. *  \author Christian Gagne *  \author Marc Parizeau *  $Revision: 1.5 $ *  $Date: 2005/09/30 15:04:53 $ */#ifndef Beagle_GA_MuWCommaLambdaCMAFltVecOp_hpp#define Beagle_GA_MuWCommaLambdaCMAFltVecOp_hpp#include "beagle/config.hpp"#include "beagle/macros.hpp"#include "beagle/Object.hpp"#include "beagle/Pointer.hpp"#include "beagle/PointerT.hpp"#include "beagle/Allocator.hpp"#include "beagle/AllocatorT.hpp"#include "beagle/AbstractAllocT.hpp"#include "beagle/ContainerAllocator.hpp"#include "beagle/Container.hpp"#include "beagle/ContainerT.hpp"#include "beagle/Operator.hpp"#include "beagle/ReplacementStrategyOp.hpp"#include "beagle/Float.hpp"#include "beagle/Matrix.hpp"#include "beagle/Vector.hpp"namespace Beagle {namespace GA {/*! *  \class MuWCommaLambdaCMAFltVecOp beagle/GA/MuWCommaLambdaCMAFltVecOp.hpp "beagle/GA/MuWCommaLambdaCMAFltVecOp.hpp" *  \brief CMA-ES (Mu_W+Lambda) replacement strategy operator class. *  \ingroup GAF *  \ingroup GAFV * *  CMA-ES (Mu_W,Lambda) replacement strategy class. Apply the CMA-ES algorithm (except mutation) *  on a population of GA float vectors. Use in conjunction of the CMA-ES mutation operator *  defined in class GA::MutationCMAFltVecOp. * *  Reference: Hansen, N. and Ostermeier, A. (2001). Completely Derandomized Self-Adaptation *  in Evolution Strategies. Evolutionary Computation, 9(2), pp. 159-195. *  See also: http://www.bionik.tu-berlin.de/user/niko/cmaes_inmatlab.html */class MuWCommaLambdaCMAFltVecOp : public MuCommaLambdaOp {public:  //! MuWCommaLambdaCMAFltVecOp allocator type.  typedef AllocatorT<MuWCommaLambdaCMAFltVecOp,MuCommaLambdaOp::Alloc>          Alloc;  //! MuWCommaLambdaCMAFltVecOp handle type.  typedef PointerT<MuWCommaLambdaCMAFltVecOp,MuCommaLambdaOp::Handle>          Handle;  //! MuWCommaLambdaCMAFltVecOp bag type.  typedef ContainerT<MuWCommaLambdaCMAFltVecOp,MuCommaLambdaOp::Bag>          Bag;  explicit MuWCommaLambdaCMAFltVecOp(string inLMRatioName="ga.cmaes.mulambdaratio",                                     string inName="GA-MuWCommaLambdaCMAFltVecOp");  virtual ~MuWCommaLambdaCMAFltVecOp() { }  virtual void initialize(System& ioSystem);  virtual void operate(Deme& ioDeme, Context& ioContext);  virtual void postInit(System& ioSystem);protected:  Matrix::Handle       mB;                //!< CMA-ES B matrix.  Vector::Handle       mD;                //!< CMA-ES D matrix.  Vector::Handle       mPC;               //!< CMA-ES P_c cumulation path.  Vector::Handle       mPS;               //!< CMA-ES P_s cumulation path.  Double::Handle       mSigma;            //!< CMA-ES sigma value.  Vector::Handle       mXmean;            //!< Mean float vector individual.  DoubleArray::Handle  mMaxValue;         //!< Maximum float vector values.  DoubleArray::Handle  mMinValue;         //!< Minimum float vector values.};}}#endif // Beagle_GA_MuWCommaLambdaCMAFltVecOp_hpp

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