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遗传算法的c程序




遗传算法的c程序_float

程序代码: (代码标记  [code]...[

/
code] )

#include
<
iostream.h
>

#include
<
math.h
>

#include
<
time.h
>

//
#include<graphics.h>

#include
<
stdlib.h
>

#include
<
string
.h
>


#define
maxpop 100

#define
maxstring 32


typedef
struct
...
{
char chrom[maxstring];
float x,fitness;
int parent1,parent2,xsite;
}
pp;

pp
*
oldpop,
*
newpop,
*
p1;
int
popsize,lchrom,gen,maxgen,nmutation,ncross,jcross,maxpp,minpp,jrand;
float
pcross,pmutation,sumfitness,avg,max,min,seed,rj[maxpop],oldrand[maxpop];
double
coef;

float
objfunc(
float
);
int
select();
int
flip(
float
);
int
crossover(
char

*
,
char

*
,
int
);
char
mutation();
void
generation();
void
initialize();
void
report();
void
initpop();
void
initdata();
void
initreport();
double
decode(
char

*
);
float
random1();
void
randomize1();
void
pause();

void
test(
char
x)
...
{cout<<x<<' ';}


float
objfunc(
float
x1)
//
compute object fitness;

...
{
float y;
y=3.14*x1;
y=sin(2.0*y);
return y*y;
}


void
statistic(pp
*
pop)
//
statistic the fitness of population

...
{
int j;
sumfitness=pop[0].fitness;
max=pop[0].fitness;
min=pop[0].fitness;
maxpp=0;
minpp=0;
for(j=1;j<popsize;j++)...{
sumfitness=sumfitness+pop[j].fitness;
if(pop[j].fitness>max)...{
max=pop[j].fitness;
maxpp=j;
}
if(pop[j].fitness<min)...{
min=pop[j].fitness;
minpp=j;
}
}//end for
avg=sumfitness/(float)popsize;
}


void
generation()
//
update a generation;

...
{
int j,mate1,mate2;
j=0;
do...{
mate1=select();
mate2=select();
crossover(oldpop[mate1].chrom,oldpop[mate2].chrom,j);
newpop[j].x=(float)decode(newpop[j].chrom);
newpop[j].fitness=objfunc(newpop[j].x);
newpop[j].parent1=mate1;
newpop[j].parent2=mate2;
newpop[j].xsite=jcross;//recode the cross point;
newpop[j+1].x=(float)decode(newpop[j+1].chrom);
newpop[j+1].fitness=objfunc(newpop[j+1].x);
newpop[j+1].parent1=mate1;
newpop[j+1].parent2=mate2;
newpop[j+1].xsite=jcross;
j=j+2;
}while(j<popsize);
}


void
initdata()
//
input control parameters

...
{
int ch,j;
cout<<"*********SGA DATA ENTRY AND INITIALIZATION******* ";
cout<<"Enter population size:";
cin>>popsize;
// cout<<"Enter chromosome length:";
// cin>>lchrom;
lchrom = 32;
cout<<"Enter max generations";
cin>>maxgen;
cout<<"Enter crossover probability:";
cin>>pcross;
cout<<"Enter mutation probability:";
cin>>pmutation;

//randomize1();
nmutatinotallow=0;
ncross=0;
}


void
initreport()
...
{
cout<<"Population size:"<<popsize<<' ';
// cout<<"Chromosome length:"<<lchrom<<' ';
cout<<"Maximum # of generation:"<<maxgen<<' ';
cout<<"Crossover probability:"<<pcross<<' ';
cout<<"Mutation probability:"<<pmutation<<' ';
cout<<"----------------------------------------------------- ";
cout<<"Initial Population Maximum Fitness:"<<max<<' ';
cout<<"Initial Population Average Fitness:"<<avg<<' ';
cout<<"Initial Population Minimun Fitness:"<<min<<' ';
cout<<"Initial Population Sum of Fitness:"<<sumfitness<<' ';
pause();
}


void
initpop()
...
{
srand((unsigned)time(NULL));
int bit;
oldpop = new pp[popsize];
newpop = new pp[popsize];
int j,j1;
for(j=0;j<popsize;j++)...{
for(j1=0;j1<lchrom;j1++)...{
if (rand()%2 == 1)
oldpop[j].chrom[j1] = '1';
else oldpop[j].chrom[j1]='0';
}
oldpop[j].x=(float)decode(oldpop[j].chrom);
oldpop[j].fitness=objfunc(oldpop[j].x);
oldpop[j].parent1=0;
oldpop[j].parent2=0;
oldpop[j].xsite=0;
}//end for
}


void
initialize()
...
{
initdata();
//test('a');
coef=pow(2.00,lchrom)-0.1;
initpop();
statistic(oldpop);
initreport();
}


void
report(
int
gen)
...
{
int k,j;
cout<<"****************************************************** ";
cout<<" Generation:"<<gen<<' ';
cout<<"# parents xsite string x fitness ";
for(j=0;j<popsize;j++)
...{
cout<<j<<" "<<newpop[j].parent1<<' '<<newpop[j].parent2<<' '<<newpop[j].xsite<<' ';
for(k=0;k<lchrom;k++) cout<<newpop[j].chrom[k];
cout<<' '<<newpop[j].x<<' '<<newpop[j].fitness<<' ';
}
cout<<"******************************************************** ";
cout<<"Result Gen:"<<gen<<' ';
cout<<"AVG="<<avg<<' '<<"MIN="<<min<<' '<<"MAX="<<max<<' ';
cout<<"ncross="<<ncross<<' '<<"nmutatinotallow="<<nmutation<<' ';
}


int
select()
...
{
double rand1,partsum;
int j;
partsum=0.0;
j=0;
rand1=random1()*sumfitness;
do...{
partsum=partsum+oldpop[j].fitness;
j=j+1;
}while((partsum<rand1)&&(j<popsize));
return j-1;
}


double
decode(
char

*
pp)
//
decode chrom to the real number

...
{
int j;
double tt,tt1;
tt1=1.0;
tt=0.0;
for(j=lchrom-1;j>-1;j--)...{
// for (j = 31; j > -1; j--) {
if(pp[j] == '1') tt=tt+tt1;
tt1=2.0*tt1;
}
tt=tt/coef;
// tt = tt / (pow(2.0,32) - 0.1);
return tt;
}


void
pause()
...
{
int j,j1;
int x1;
x1=0;
for(j=1;j<=25;j++)
for(j1=1;j1<2;j1++) x1=x1+1;
}


char
mutation(
char
ch)
//
mutation operate

...
{
int mutate,j;
mutate=flip(pmutation);
if(mutate)
...{
nmutatinotallow=nmutation+1;//???nmutation??
if(ch) ch=0;
else ch=1;
}
if(ch) return '1';
else return '0';
}


int
crossover(
char

*
parent1,
char

*
parent2,
int
k5)
//
crossover operate

...
{
int i,j,j1;
if(flip(pcross))
...{
jcross=rand()%(lchrom-1);
ncross=ncross+1;//???ncross?
}
else jcross=lchrom;
if(jcross!=lchrom)
...{
for(j=0;j<jcross;j++)...{
newpop[k5].chrom[j]=mutation(parent1[j]);
newpop[k5+1].chrom[j]=mutation(parent2[j]);
}
for(j=jcross;j<lchrom;j++)...{
newpop[k5].chrom[j]=mutation(parent2[j]);
newpop[k5+1].chrom[j]=mutation(parent1[j]);
}
}//end if
else
...{
for(j=0;j<lchrom;j++)
...{
newpop[k5].chrom[j]=mutation(parent1[j]);
newpop[k5+1].chrom[j]=mutation(parent2[j]);
}
}//end else
return 1;
}


void
randomize1()
//
reset the random number generator

...
{
int i;
srand((unsigned)time(NULL));
// randomize();//???????generate errors "randomize undeclared"
for(i=0;i<lchrom;i++);
oldrand[i]=(rand()%1000)/1000.0;
jrand=0;
}


float
random1()
//
generate a random number

...
{
jrand=jrand+1;
if(jrand>=lchrom)
...{
jrand=0;
randomize1();
}
return oldrand[jrand];
}


int
flip(
float
probability)
//
贝努利实验

...
{
float ppp;
ppp=(rand()%1000)/1000.0;
if(ppp<=probability) return 1;
return 0;
}


void
main()
...
{
double detest;
char testch[32];
for (int testi = 0; testi < 32; testi++) ...{
if (rand()%2 == 1)
testch[testi] = '1';
else testch[testi] = '0';
}
detest = decode(testch);
cout<<detest<<' ';


char c;
long int gen,k,j;
float oldmax;
int oldmaxpp;
// pp *oldpop,*newpop,*p1;
// oldpop=new pp[maxpop];
// newpop=new pp[maxpop];

/**//* oldpop = new pp[maxpop];
newpop = new pp[maxpop];

p1=new pp;
for(k=0;k<maxpop;k++)
for (j = 0; j < maxstring; j++) {
oldpop[k].chrom[j]='0';
newpop[k].chrom[j]='0';
}
*/
gen=0;
initialize();
p1=newpop;
newpop=oldpop;
statistic(newpop);
report(gen);
newpop=p1;
cin>>c;
do ...{
gen=gen+1;
oldmax=max;
oldmaxpp=maxpp;
generation();
statistic(newpop);
if(max<oldmax)...{
for(j=0;j<lchrom;j++)
newpop[minpp].chrom[j]=oldpop[oldmaxpp].chrom[j];
newpop[minpp].x=oldpop[oldmaxpp].x;
newpop[minpp].fitness=oldpop[oldmaxpp].fitness;
statistic(newpop);
}
// report(gen);
p1=oldpop;
oldpop=newpop;
newpop=p1;
// cin>>c;
}while(gen<maxgen);
report(gen);
free(p1);
free(oldpop);
}

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