#include "cuckoo.h"
// 初始化,读入参数什么的
#define set_Times 10
double sum_Iter;
double sum_fmin;
int function_num;
int counter_increase;
double saveFitness[set_Times];
int times;
FILE *fp;
double function_domian[8][2]={{-100.0,100.0},{-100.0,100.0},{-5.12,5.12},{-600.0,600.0},{-32,32},{-100.0,100.0},{-100.0,100.0},{-2*PI,2*PI}};
extern double myAbs(double);
void initial()
{
int i,j;
//初始化上下界
for(j=0;j<numOfVar;j++)
{
lower[j]=function_domian[function_num-1][0];//这里原来也搞错了,fuck!!!!!
upper[j]=function_domian[function_num-1][1];
}
fmin=DBL_MAX;
//初始化n个鸟巢
for(i=0;i<n;++i)
{
for(j=0;j<numOfVar;j++)
{
population[i].x[j]=randval(lower[j],upper[j]);
}
population[i].fitness=function(population[i].x,numOfVar,function_num);
if(population[i].fitness<fmin)
{
fmin=population[i].fitness;
best=i;
bestNest.fitness=population[i].fitness;
for(j=0;j<numOfVar;++j)
bestNest.x[j]=population[i].x[j];
}
}
}
//用简单的莱维飞行产生新的解
void get_cuckoos()
{
double beta=1.5;
double sigma=pow((gamma(1.0+beta)*sin(PI*beta/2.0))/gamma(((1.0+beta)/2.0)*beta*pow(2,(beta-1.0)/2.0)),1.0/beta);
int i,j;
double u,v,step,stepSize;
for(i=0;i<n;++i)
{
for(j=0;j<numOfVar;++j)
{
u=gauss(0.0,1.0)*sigma;
v=gauss(0.0,1.0);
step=u/pow(myAbs(v),1.0/beta);
stepSize=0.01*step*(population[i].x[j]-bestNest.x[j]);
newPopulation[i].x[j]=population[i].x[j]+stepSize*gauss(0,1.0);
//满足定义域
if(newPopulation[i].x[j]<lower[j])
newPopulation[i].x[j]=lower[j];
if(newPopulation[i].x[j]>upper[j])
newPopulation[i].x[j]=upper[j];
}
newPopulation[i].fitness=function(newPopulation[i].x,numOfVar,function_num);
}
}
void get_best_nest()
{
int i,j;
for(i=0;i<n;++i)
{
if(population[i].fitness>newPopulation[i].fitness)
{
population[i].fitness=newPopulation[i].fitness;
for(j=0;j<numOfVar;++j)
population[i].x[j]=newPopulation[i].x[j];
if(population[i].fitness<fmin)
{
fmin=population[i].fitness;
best=i;
bestNest.fitness=population[i].fitness;
for(j=0;j<numOfVar;++j)
bestNest.x[j]=population[i].x[j];
}
}
}
}
void empty_nest()
{
int i,j;
double pa_get,stepSize,sum=0,pa_allocation;
for(i=0;i<n;++i)
sum+=population[i].fitness;
for(i=0;i<n;++i)
{
pa_get=randval(0.0,1.0);
pa_allocation=n*pa*population[i].fitness/sum;
if(pa_get>=pa_allocation||best==i)
{
newPopulation[i]=population[i];
}
else
{
for(j=0;j<numOfVar;++j)
{
stepSize=(population[randN(0,n-1)].x[j]-population[randN(0,n-1)].x[j])*randval(0.0,1.0);
newPopulation[i].x[j]=population[i].x[j]+stepSize;
if(newPopulation[i].x[j]<lower[j])
newPopulation[i].x[j]=lower[j];
if(newPopulation[i].x[j]>upper[j])
newPopulation[i].x[j]=upper[j];
}
newPopulation[i].fitness=function(newPopulation[i].x,numOfVar,function_num);
}
}
}
int stop_criterion(int type,int *count)
{
if(type==1)
return fmin>tol?1:0;
else if(type==2)
return (*count)--;
else
return 0;
}
//函数主体
void cuckoo_search()
{
int countIter=0;
int count=counter_increase;
srand(time(0));
initial();
while(stop_criterion(2,&count))
{
get_cuckoos();
get_best_nest();
empty_nest();
get_best_nest();
countIter++;
}
printf("fmin_%d=%.16lf\n",set_Times-times-1,fmin);
sum_fmin+=fmin;
saveFitness[set_Times-times-1]=fmin;//刚才这里出错,导致莫名其妙的错误
sum_Iter+=countIter;
}
void do_many_times()
{
int i,j,k;
double stdv,mean_fmin;
if((fp=fopen("cuckoo_Original.xls","wt"))==NULL)
{
printf("can not open the file!");
exit(0);
}
for(i=8;i<=8;++i)
{
function_num=i;
printf("function %d\n",i);
fprintf(fp,"function %d\n",i);
fprintf(fp,"迭代次数\tmean_fmin\tstdv\n");
for(j=1000;j<=9000;j+=1000)
{
sum_fmin=0.0;
sum_Iter=0.0;
stdv=0.0;
printf("iteration %d:\n",j);
//fprintf(fp,"%d\t",j);
counter_increase=j;
times=set_Times;
while(times--)
cuckoo_search();
printf("********sum_fmin=%lf**********\n",sum_fmin);
mean_fmin=sum_fmin/(double)set_Times;
printf("mean_fmin=%lf\n",mean_fmin);
for(k=0;k<set_Times;++k)
stdv+=(saveFitness[k]-mean_fmin)*(saveFitness[k]-mean_fmin);
stdv=sqrt(stdv/(double)set_Times);
printf("平均迭代次数:%.16lf\n平均最小值:%.16lf\n方差:%.16lf\n",sum_Iter/(double)set_Times,mean_fmin,stdv);
fprintf(fp,"%.16lf\t%.16lf\t%.16lf\n",sum_Iter/(double)set_Times,mean_fmin,stdv);
}
}
fclose(fp);
}
没有合适的资源?快使用搜索试试~ 我知道了~
布谷鸟算法 C语言实现
共69个文件
tlog:40个
obj:8个
c:6个
5星 · 超过95%的资源 需积分: 50 105 下载量 92 浏览量
2015-05-06
10:31:40
上传
评论 4
收藏 899KB ZIP 举报
温馨提示
布谷鸟算法C语言实现,平台为win8.1 visual studio 2012。为什么要6个积分?因为在网上只能找到MATLAB版本的,估计C版本的只有这儿有吧。包括测试函数文件,以及伽马函数的文件。伽马函数用级数实现的。另外结果,保存在目录下面的result文件中,如果没有结果,你自己创建个result文件吧。
资源推荐
资源详情
资源评论
收起资源包目录
cuckoo_search布谷鸟算法.zip (69个子文件)
cuckoo_search布谷鸟算法
cuckoo_search.v11.suo 41KB
cuckoo_search
gamma.c 1KB
cuckoo_search.layout 1KB
randval.c 287B
main.c 144B
cuckoo_search.c 5KB
result
cuckoo.h 1KB
gauss.c 226B
.objs
cuckoo_search.cbp 1KB
function.c 2KB
cuckoo_search.vcxproj 4KB
Debug
link.7628-cvtres.read.1.tlog 2B
link.7812-rc.write.1.tlog 2B
link.7812.read.1.tlog 2B
cuckoo_search.obj 24KB
vc110.idb 91KB
link.7628-cvtres.write.1.tlog 2B
link.744-rc.write.1.tlog 2B
link.4920-cvtres.write.1.tlog 2B
link.7812-cvtres.write.1.tlog 2B
link.744-cvtres.read.1.tlog 2B
link.7256.write.1.tlog 2B
CL.write.1.tlog 9KB
link.4920.write.1.tlog 2B
link.7256-cvtres.write.1.tlog 2B
CL.read.1.tlog 19KB
link.7812-cvtres.read.1.tlog 2B
link.4920-rc.read.1.tlog 2B
link.744-rc.read.1.tlog 2B
link.7628.read.1.tlog 2B
link.744-cvtres.write.1.tlog 2B
cuckoo_search.lastbuildstate 94B
link.7628.write.1.tlog 2B
cl.command.1.tlog 10KB
link-cvtres.read.1.tlog 2B
randval.obj 6KB
link.7256.read.1.tlog 2B
link.744.write.1.tlog 2B
main.obj 5KB
garmma.obj 10KB
link.7812-rc.read.1.tlog 2B
link.7256-cvtres.read.1.tlog 2B
link.write.1.tlog 2KB
uniform.obj 4KB
gauss.obj 6KB
link.7256-rc.read.1.tlog 2B
link-rc.write.1.tlog 2B
link-cvtres.write.1.tlog 2B
link.command.1.tlog 4KB
link.7256-rc.write.1.tlog 2B
link-rc.read.1.tlog 2B
link.read.1.tlog 4KB
vc110.pdb 84KB
cuckoo_search.log 2KB
link.4920-rc.write.1.tlog 2B
function.obj 11KB
link.7812.write.1.tlog 2B
link.4920-cvtres.read.1.tlog 2B
link.4920.read.1.tlog 2B
link.7628-rc.read.1.tlog 2B
link.744.read.1.tlog 2B
link.7628-rc.write.1.tlog 2B
gamma.obj 11KB
cuckoo_search.vcxproj.filters 1KB
cuckoo_search.sln 906B
cuckoo_search.sdf 2.38MB
Debug
cuckoo_search.pdb 507KB
cuckoo_search.exe 41KB
cuckoo_search.ilk 450KB
result
共 69 条
- 1
资源评论
- ALIBABATABA2017-02-22算法很好,写的比较完备,不过还是有点问题
- weiwuderenshengjiang2015-09-02算法不错,就是GAMMA函数那块有点问题。总之碍事十分感谢。hu18yuanwai2016-04-07大家关于算法的实现有什么问题可以发邮件到hu18yuanwai@hotmail.com 在csdn上很久才能看到。hu18yuanwai2015-12-22有什么问题。请告知。谢谢。
hu18yuanwai
- 粉丝: 0
- 资源: 2
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功