CMAIndividual.h

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/*!
 * 
 *
 * \brief       TypedIndividual
 
 * 
 *
 * \author      T.Voss, T. Glasmachers, O.Krause
 * \date        2010-2011
 *
 *
 * \par Copyright 1995-2017 Shark Development Team
 * 
 * <BR><HR>
 * This file is part of Shark.
 * <https://shark-ml.github.io/Shark/>
 * 
 * Shark 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.
 * 
 * Shark 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 Shark.  If not, see <http://www.gnu.org/licenses/>.
 *
 */
#ifndef SHARK_ALGORITHMS_DIRECT_SEARCH_CMA_INDIVIDUAL_H
#define SHARK_ALGORITHMS_DIRECT_SEARCH_CMA_INDIVIDUAL_H
 
#include <shark/Algorithms/DirectSearch/Individual.h>
#include <shark/Algorithms/DirectSearch/CMA/Chromosome.h>
 
#include <shark/LinAlg/Base.h>
#include <vector>
 
namespace shark {
 
template<class FitnessType>
class CMAIndividual : public Individual<RealVector,FitnessType, CMAChromosome>{
public:
    using Individual<RealVector,FitnessType, CMAChromosome>::chromosome;
    using Individual<RealVector,FitnessType, CMAChromosome>::searchPoint;
    /**
     * \brief Default constructor that initializes the individual's attributes to default values.
     */
    CMAIndividual():m_parent(0){}
    CMAIndividual(
        std::size_t searchSpaceDimension,
        double successThreshold = 0.44,
        double initialStepSize = 1.0
    ):m_parent(0){
        chromosome() = CMAChromosome(searchSpaceDimension, successThreshold, initialStepSize);
        searchPoint().resize(searchSpaceDimension);
    }
    
    void updateAsParent(CMAChromosome::IndividualSuccess offspringSuccess){
        chromosome().updateAsParent(offspringSuccess);
    }
    void updateAsOffspring(){
        chromosome().updateAsOffspring();
    }
    template<class randomType>
    void mutate(randomType& rng){
        chromosome().m_mutationDistribution.generate(
            rng, chromosome().m_lastStep,chromosome().m_lastZ
        );
        noalias(searchPoint()) += chromosome().m_stepSize * chromosome().m_lastStep;
    }
    
    double& noSuccessfulOffspring(){
        return chromosome().m_noSuccessfulOffspring;
    }
    
    double noSuccessfulOffspring()const{
        return chromosome().m_noSuccessfulOffspring;
    }
    
    std::size_t parent()const{
        return m_parent;
    }
    std::size_t& parent(){
        return m_parent;
    }
private:
    std::size_t m_parent;
};
 
}
#endif