solution.h

free library of genetic algorithms

/*
    cpplibga, free library of genetic algorithms.
    Copyright (C) 2003  Burger Y.A. (aka Jo Kruger)

    This program is free software; you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation; either version 2 of the License, or
    (at your option) any later version.

    This program 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 General Public License for more details.

    You should have received a copy of the GNU General Public License
    along with this program; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA

Contacts:

   address: planet Terra
   e-mail:  [e-mail]
            [e-mail]
*/

#ifndef __CPPLIBGA_SOLUTION_H__
#define __CPPLIBGA_SOLUTION_H__

#include <assert.h>

#include <cpplibga/Types.h>

namespace cpplibga
{
    template<typename Genotype, typename Fitness> class Solution : public Genotype
    {
	public:
      
	    Solution(Fitness* fitness) : fitness(fitness),
					 isChanged(true)
	    {
                assert(fitness);
	    }

	    const Genotype& getGenotype() const {return *this;}

	    double calcFitness() const
	    {
		if(isChanged)
		{
		    fitnessCache=fitness->calc(getGenotype());
		    isChanged=false;
		}
		return fitnessCache;
	    }

            virtual void setGene(genotype_size_type locus, typename Genotype::gene_type value)
            {
                Genotype::setGene(locus,value);
                isChanged=true;
            }
            
            virtual void invertGene(genotype_size_type locus)
            {
                Genotype::invertGene(locus);
                isChanged=true;
            }

            virtual void fillRand()
            {
                Genotype::fillRand();
                isChanged=true;
            }

	private:

            Fitness*       fitness;

	    mutable double fitnessCache;
	    mutable bool   isChanged;

    };
}

#endif