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<TD><FONT color=#ffffff><B>基本遗传算法源程序 </B></FONT></TD></TR>
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<TD vAlign=top width=150><B>iamqsar</B> <BR><IMG
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<TD vAlign=top width="100%"><IMG src="view.files/post.gif" align=absMiddle
border=0>于 2003-09-13 22:26 <A
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<SPAN class=javascript
id=text22932>/******************************************************************/
<BR>/* 基于基本遗传算法的函数最优化 SGA.C */ <BR>/* A Function Optimizer using Simple
Genetic Algorithm */ <BR>/* developed from the Pascal SGA code presented
by David E.Goldberg */
<BR>//******************************************************************/
<BR>#include <STDIO.H><BR>#include<GRAPHICS.H> <BR>#include
<MATH.H><BR>#include "graph.c" <BR>/* 全局变量 */ <BR>struct individual /*
个体*/ <BR>{ <BR>unsigned *chrom; /* 染色体 */ <BR>double fitness; /* 个体适应度*/
<BR>double varible; /* 个体对应的变量值*/ <BR>int xsite; /* 交叉位置 */ <BR>int
parent[2]; /* 父个体 */ <BR>int *utility; /* 特定数据指针变量 */ <BR>}; <BR>struct
bestever /* 最佳个体*/ <BR>{ <BR>unsigned *chrom; /* 最佳个体染色体*/ <BR>double
fitness; /* 最佳个体适应度 */ <BR>double varible; /* 最佳个体对应的变量值 */ <BR>int
generation; /* 最佳个体生成代 */ <BR>}; <BR>struct individual *oldpop; /* 当前代种群
*/ <BR>struct individual *newpop; /* 新一代种群 */ <BR>struct bestever bestfit;
/* 最佳个体 */ <BR>double sumfitness; /* 种群中个体适应度累计 */ <BR>double max; /*
种群中个体最大适应度 */ <BR>double avg; /* 种群中个体平均适应度 */ <BR>double min; /*
种群中个体最小适应度 */ <BR>float pcross; /* 交叉概率 */ <BR>float pmutation; /* 变异概率 */
<BR>int popsize; /* 种群大小 */ <BR>int lchrom; /* 染色体长度*/ <BR>int chromsize;
/* 存储一染色体所需字节数 */ <BR>int gen; /* 当前世代数 */ <BR>int maxgen; /* 最大世代数 */
<BR>int run; /* 当前运行次数 */ <BR>int maxruns; /* 总运行次数 */ <BR>int
printstrings; /* 输出染色体编码的判断，0 -- 不输出, 1 -- 输出 */ <BR>int nmutation; /*
当前代变异发生次数 */ <BR>int ncross; /* 当前代交叉发生次数 */ <BR><BR>/* 随机数发生器使用的静态变量 */
<BR>static double oldrand[55]; <BR>static int jrand; <BR>static double
rndx2; <BR>static int rndcalcflag; <BR>/* 输出文件指针 */ <BR>FILE *outfp ;
<BR>/* 函数定义 */ <BR>void advance_random(); <BR>int flip(float);rnd(int,
int); <BR>void randomize(); <BR>double randomnormaldeviate(); <BR>float
randomperc(),rndreal(float,float); <BR>void warmup_random(float); <BR>void
initialize(),initdata(),initpop(); <BR>void
initreport(),generation(),initmalloc(); <BR>void freeall(),nomemory(char
*),report(); <BR>void writepop(),writechrom(unsigned *); <BR>void
preselect(); <BR>void statistics(struct individual *); <BR>void
title(),repchar (FILE *,char *,int); <BR>void skip(FILE *,int); <BR>int
select(); <BR>void objfunc(struct individual *); <BR>int crossover
(unsigned *, unsigned *, unsigned *, unsigned *); <BR>void
mutation(unsigned *); <BR><BR><BR>void initialize() /* 遗传算法初始化 */ <BR>{
<BR>/* 键盘输入遗传算法参数 */ <BR>initdata(); <BR>/* 确定染色体的字节长度 */ <BR>chromsize =
(lchrom/(8*sizeof(unsigned))); <BR>if(lchrom%(8*sizeof(unsigned)))
chromsize++; <BR>/*分配给全局数据结构空间 */ <BR>initmalloc(); <BR>/* 初始化随机数发生器 */
<BR>randomize(); <BR>/* 初始化全局计数变量和一些数值*/ <BR>nmutation = 0; <BR>ncross =
0; <BR>bestfit.fitness = 0.0; <BR>bestfit.generation = 0; <BR>/*
初始化种群，并统计计算结果 */ <BR>initpop(); <BR>statistics(oldpop); <BR>initreport();
<BR>} <BR><BR>void initdata() /* 遗传算法参数输入 */ <BR>{ <BR>char answer[2];
<BR>setcolor(9); <BR>disp_hz16("种群大小(20-100)：",100,150,20);
<BR>gscanf(320,150,9,15,4,"%d", &popsize); <BR>if((popsize%2) != 0)
<BR>{ <BR>fprintf(outfp, "种群大小已设置为偶数\n"); <BR>popsize++; <BR>};
<BR>setcolor(9); <BR>disp_hz16("染色体长度(8-40)：",100,180,20);
<BR>gscanf(320,180,9,15,4,"%d", &lchrom); <BR>setcolor(9);
<BR>disp_hz16("是否输出染色体编码(y/n)：",100,210,20); <BR>printstrings=1;
<BR>gscanf(320,210,9,15,4,"%s", answer); <BR>if(strncmp(answer,"n",1) ==
0) printstrings = 0; <BR>setcolor(9);
<BR>disp_hz16("最大世代数(100-300)：",100,240,20);
<BR>gscanf(320,240,9,15,4,"%d", &maxgen); <BR>setcolor(9);
<BR>disp_hz16("交叉率(0.2-0.9)：",100,270,20); <BR>gscanf(320,270,9,15,5,"%f",
&pcross); <BR>setcolor(9); <BR>disp_hz16("变异率(0.01-0.1)：",100,300,20);
<BR>gscanf(320,300,9,15,5,"%f", &pmutation); <BR>} <BR><BR>void
initpop() /* 随机初始化种群 */ <BR>{ <BR>int j, j1, k, stop; <BR>unsigned mask =
1; <BR>for(j = 0; j < popsize; j++) <BR>{ <BR>for(k = 0; k <
chromsize; k++) <BR>{ <BR>oldpop[j].chrom[k] = 0; <BR>if(k ==
(chromsize-1)) <BR>stop = lchrom - (k*(8*sizeof(unsigned))); <BR>else
<BR>stop =8*sizeof(unsigned); <BR>for(j1 = 1; j1 <= stop; j1++) <BR>{
<BR>oldpop[j].chrom[k] = oldpop[j].chrom[k]<<1; <BR>if(flip(0.5))
<BR>oldpop[j].chrom[k] = oldpop[j].chrom[k]|mask; <BR>} <BR>}
<BR>oldpop[j].parent[0] = 0; /* 初始父个体信息 */ <BR>oldpop[j].parent[1] = 0;
<BR>oldpop[j].xsite = 0; <BR>objfunc(&(oldpop[j])); /* 计算初始适应度*/ <BR>}
<BR>} <BR><BR>void initreport() /* 初始参数输出 */ <BR>{ <BR>void skip();
<BR>skip(outfp,1); <BR>fprintf(outfp," 基本遗传算法参数\n"); <BR>fprintf(outfp,"
-------------------------------------------------\n"); <BR>fprintf(outfp,"
种群大小(popsize) = %d\n",popsize); <BR>fprintf(outfp," 染色体长度(lchrom) =
%d\n",lchrom); <BR>fprintf(outfp," 最大进化代数(maxgen) = %d\n",maxgen);
<BR>fprintf(outfp," 交叉概率(pcross) = %f\n", pcross); <BR>fprintf(outfp,"
变异概率(pmutation) = %f\n", pmutation); <BR>fprintf(outfp,"
-------------------------------------------------\n"); <BR>skip(outfp,1);
<BR>fflush(outfp); <BR>} <BR><BR>void generation() <BR>{ <BR>int mate1,
mate2, jcross, j = 0; <BR>/* 每代运算前进行预选 */ <BR>preselect(); <BR>/* 选择, 交叉,
变异 */ <BR>do <BR>{ <BR>/* 挑选交叉配对 */ <BR>mate1 = select(); <BR>mate2 =
select(); <BR>/* 交叉和变异 */ <BR>jcross = crossover(oldpop[mate1].chrom,
oldpop[mate2].chrom, newpop[j].chrom, newpop[j+1].chrom);
<BR>mutation(newpop[j].chrom); <BR>mutation(newpop[j+1].chrom); <BR>/* 解码,
计算适应度 */ <BR>objfunc(&(newpop[j])); <BR>/*记录亲子关系和交叉位置 */
<BR>newpop[j].parent[0] = mate1+1; <BR>newpop[j].xsite = jcross;
<BR>newpop[j].parent[1] = mate2+1; <BR>objfunc(&(newpop[j+1]));
<BR>newpop[j+1].parent[0] = mate1+1; <BR>newpop[j+1].xsite = jcross;
<BR>newpop[j+1].parent[1] = mate2+1; <BR>j = j + 2; <BR>} <BR>while(j <
(popsize-1)); <BR><BR>} <BR><BR>void initmalloc() /*为全局数据变量分配空间 */ <BR>{
<BR>unsigned nbytes; <BR>char *malloc(); <BR>int j; <BR>/*
分配给当前代和新一代种群内存空间 */ <BR>nbytes = popsize*sizeof(struct individual);
<BR>if((oldpop = (struct individual *) malloc(nbytes)) == NULL)
<BR>nomemory("oldpop"); <BR>if((newpop = (struct individual *)
malloc(nbytes)) == NULL) <BR>nomemory("newpop"); <BR>/* 分配给染色体内存空间 */
<BR>nbytes = chromsize*sizeof(unsigned); <BR>for(j = 0; j < popsize;
j++) <BR>{ <BR>if((oldpop[j].chrom = (unsigned *) malloc(nbytes)) == NULL)
<BR>nomemory("oldpop chromosomes"); <BR>if((newpop[j].chrom = (unsigned *)
malloc(nbytes)) == NULL) <BR>nomemory("newpop chromosomes"); <BR>}
<BR>if((bestfit.chrom = (unsigned *) malloc(nbytes)) == NULL)
<BR>nomemory("bestfit chromosome"); <BR><BR>} <BR><BR>void freeall() /*
释放内存空间 */ <BR>{ <BR>int i; <BR>for(i = 0; i < popsize; i++) <BR>{
<BR>free(oldpop[i].chrom); <BR>free(newpop[i].chrom); <BR>}
<BR>free(oldpop); <BR>free(newpop); <BR>free(bestfit.chrom); <BR>}
<BR><BR>void nomemory(string) /* 内存不足，退出*/ <BR>char *string; <BR>{
<BR>fprintf(outfp,"malloc: out of memory making %s!!\n",string);
<BR>exit(-1); <BR>} <BR><BR>void report() /* 输出种群统计结果 */ <BR>{ <BR>void
repchar(), skip(); <BR>void writepop(), writestats();
<BR>repchar(outfp,"-",80); <BR>skip(outfp,1); <BR>if(printstrings == 1)
<BR>{ <BR>repchar(outfp," ",((80-17)/2)); <BR>fprintf(outfp,"模拟计算统计报告
\n"); <BR>fprintf(outfp, "世代数 %3d", gen); <BR>repchar(outfp," ",(80-28));
<BR>fprintf(outfp, "世代数 %3d\n", (gen+1)); <BR>fprintf(outfp,"个体 染色体编码");
<BR>repchar(outfp," ",lchrom-5); <BR>fprintf(outfp,"适应度 父个体 交叉位置 ");
<BR>fprintf(outfp,"染色体编码 "); <BR>repchar(outfp," ",lchrom-5);
<BR>fprintf(outfp,"适应度\n"); <BR>repchar(outfp,"-",80); <BR>skip(outfp,1);
<BR>writepop(outfp); <BR>repchar(outfp,"-",80); <BR>skip(outfp,1); <BR>}
<BR>fprintf(outfp,"第 %d 代统计: \n",gen); <BR>fprintf(outfp,"总交叉操作次数 = %d,
总变异操作数 = %d\n",ncross,nmutation); <BR>fprintf(outfp," 最小适应度：%f 最大适应度：%f
平均适应度 %f\n", min,max,avg); <BR>fprintf(outfp," 迄今发现最佳个体 => 所在代数： %d ",
bestfit.generation); <BR>fprintf(outfp," 适应度：%f 染色体：", bestfit.fitness);
<BR>writechrom((&bestfit)->chrom); <BR>fprintf(outfp," 对应的变量值: %f",
bestfit.varible); <BR>skip(outfp,1); <BR>repchar(outfp,"-",80);
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