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C - N 皇后的遗传算法

转载 作者:塔克拉玛干 更新时间:2023-11-03 05:53:44 27 4
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我想弄清楚我们如何使用遗传算法来解决 N 个皇后问题。

程序如下:

#include <stdio.h>
#include <stdlib.h>
#include <time.h>
#define SIZE 8
#define POP 8

int answers[SIZE] = {5,3,1,7,4,6,0,2};

int getRand(int mod){
if (mod==0) return 0;
else return random()%mod;
}

void printArray(int array[]){
int i;
for(i=0; i<SIZE-1; i++) printf("(%i,%i),",i,array[i]);
printf("(%i,%i)",SIZE-1,array[SIZE-1]);
printf("\n");
}

int getWeight(int array[]){
int weight = 28;
int queen;
for(queen=0;queen<SIZE;queen++){ //for each queen
int nextqueen;
for(nextqueen=queen+1;nextqueen<SIZE;nextqueen++){ //for each of the other queens (nextqueen = queen to avoid counting pairs twice)
if(array[queen] == array[nextqueen] || abs(queen-nextqueen)==abs(array[queen]-array[nextqueen])){ //if conflict
weight--;
}
}
}
return weight;
}

void geneticAlgorithm(){
int population[POP][SIZE];
int children[POP][SIZE];
int weightProb[224] = {};
int wpl = 0; //weightProb[] length
float mutProb = 0.2; //higher prob yields faster times. works decently anyways. bug: prob = 0
int done = 0;
int i;
for(i=0;i<POP;i++) for(int j=0;j<SIZE;j++) population[i][j] = getRand(SIZE);
while(done == 0){
for(i=0;i<POP;i++){
if(getWeight(children[i]) == 28){
printf("solution: ");
printArray(children[i]);
done = 1;
}
}

for(i=0;i<wpl;i++) weightProb[i] = (int)NULL; //clear weightprob
wpl=0;

//weighted probability distribution
for(i=0;i<POP;i++){
int w = getWeight(population[i]);
for(int j=0;j<w;j++){
weightProb[wpl] = i; //fill array with member number w times
wpl++;
}
}

//reproduce
for(i=0;i<POP;i+=2){
int par1 = weightProb[getRand(wpl)];
int par2 = weightProb[getRand(wpl)];
int split = getRand(SIZE);
//crossover
for(int j=0;j<split;j++){
children[i][j] = population[par1][j];
children[i+1][j] = population[par2][j];
}
for(int j=split;j<SIZE;j++){
children[i][j] = population[par2][j];
children[i+1][j] = population[par1][j];
}
//mutation
if(getRand(1000000)<=mutProb*1000000){
int child=getRand(2);
if(child == 0) children[i][getRand(SIZE)] = getRand(SIZE);
else children[i+1][getRand(SIZE)] = getRand(SIZE);
}
}
for(i=0;i<POP;i++) for(int j=0;j<SIZE;j++) population[i][j] = children[i][j];
wpl = 0;
}
}

int main(int argc, const char * argv[]){
srandom((unsigned int)time(NULL)); //seed random
geneticAlgorithm();
return 0;
}

程序正确运行和编译,但没有产生我想要的结果。我想显示每个皇后的 x、y 坐标,并简单地将它们打印出来。然而,相反,我在输出中得到了随机垃圾,我不知道为什么。

当前输出示例:

(0,0) (1,3248234234) (2,0) (3,-3248236736) (4,57435727) (5,234743567) (6, 23498348) (7,23487234)

期望的输出示例(N 皇后问题的解决方案):

(3,4) (7,2) (0,3) (4,6) (6,5) (1,7) (5,1) (2,0)

最佳答案

不确定这是否是您的特定问题的原因,但这是一个问题:

for(i=0;i<POP;i++) for(int j=0;j<SIZE;j++) population[i][j] = getRand(SIZE);
while(done == 0){
for(i=0;i<POP;i++){
if(getWeight(children[i]) == 28){
printf("solution: ");
printArray(children[i]);
done = 1;
}
}

以上是人口的初始化和循环的开始。第一次通过时,children 数组包含未初始化的数据。

给定算法的其余部分,您需要检查 population 元素的权重(并打印 population 中的元素)是否获胜,不是 child

关于C - N 皇后的遗传算法,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/43114194/

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