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📄 binary.h

📁 free library of genetic algorithms
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/*    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  USAContacts:   address: planet Terra   e-mail:  jo_kruger@mail.ru            kruger@selena.net.ua*/#ifndef __CPPLIBGA_GENOTYPE_BINARY_H__#define __CPPLIBGA_GENOTYPE_BINARY_H__#include <vector>#include <assert.h>#include <stdlib.h>#include <cpplibga/Types.h>namespace cpplibga{    namespace genotype    {	template<unsigned long bitNum> class Binary	{	    public:	    		typedef bool gene_type;                                static genotype_size_type size() {return bitNum;}    		Binary() : data(byteNum())		{		    assert(byteNum());		    *data.rbegin()=0;		}		bool operator ==(const Binary& rhs) const		{		    return data==rhs.data;		}		gene_type getGene(genotype_size_type locus) const		{		    assert(locus<bitNum);		    genotype_size_type b=locus/8;		    return (data[b]>>(7-locus+b*8))&1;		}				virtual void setGene(genotype_size_type locus, gene_type value)		{		    assert(locus<bitNum);		    genotype_size_type b=locus/8;		    genotype_size_type d=locus-b*8;		    data[b]=((data[b]|(1<<(7-d)))^(1<<(7-d)))|(((unsigned char)value)<<(7-d));		}		virtual void invertGene(genotype_size_type locus)		{		    assert(locus<bitNum);				    genotype_size_type b=locus/8;		    data[b]^=(1<<(7-locus+b*8));		}		double unpackToDouble(genotype_size_type index, genotype_size_type size) const		{		    double d=0;		    double base=1;		    for(genotype_size_type i=0; i<size; ++i)		    {			if(getGene(index+i)) d+=base;			base*=2;		    }		    return d;		}                                virtual void fillRand()                {                    for(genotype_size_type t=0; t<size(); ++t)                    {                        setGene(t,rand()<RAND_MAX/2);                    }                }	    private:			std::vector<unsigned char> data;			static genotype_size_type byteNum()		{		    return ((bitNum/8)+((bitNum-((bitNum/8)*8))>0?1:0));		}	};    }}#endif

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