用C语言写一个基于蚁群算法的MPPT算法

非常感谢您的提问。以下是基于蚁群算法的MPPT算法的C语言代码：

#include <stdio.h>
#include <stdlib.h>
#include <math.h>

#define MAX_ITER 1000
#define N 100
#define ALPHA 1.0
#define BETA 2.0
#define RHO 0.5

double rand_double(double min, double max) {
return min + (max - min) * ((double)rand() / RAND_MAX);
}

double f(double x) {
return -pow(x, 3) + 5 * pow(x, 2) - 3 * x + 1;
}

double g(double x) {
return -pow(x, 2) + 5 * x - 3;
}

double h(double x) {
return sin(x) + cos(x);
}

double mppt(double (*func)(double), double min, double max) {
double tau[N][N], eta[N][N], x[N], f[N], f_best, x_best;
int i, j, k, iter;

for (i = 0; i < N; i++) {
x[i] = rand_double(min, max);
f[i] = func(x[i]);
for (j = 0; j < N; j++) {
tau[i][j] = 1.0 / N;
eta[i][j] = 1.0 / (func(max) - func(min));
}
}

for (iter = 0; iter < MAX_ITER; iter++) {
for (i = 0; i < N; i++) {
double sum = 0.0;
for (j = 0; j < N; j++) {
sum += tau[i][j] * pow(eta[i][j], BETA) * pow(f[j], ALPHA);
}
for (j = 0; j < N; j++) {
tau[i][j] = (1 - RHO) * tau[i][j] + RHO * pow(eta[i][j], BETA) * pow(f[j], ALPHA) / sum;
}
}

f_best = f[0];
x_best = x[0];
for (i = 1; i < N; i++) {
if (f[i] > f_best) {
f_best = f[i];
x_best = x[i];
}
}

for (i = 0; i < N; i++) {
double x_new = rand_double(min, max);
for (j = 0; j < N; j++) {
if (rand_double(0, 1) < tau[i][j]) {
x_new += eta[i][j] * (x[j] - x[i]);
}
}
if (x_new < min) {
x_new = min;
}
if (x_new > max) {
x_new = max;
}
double f_new = func(x_new);
if (f_new > f[i]) {
x[i] = x_new;
f[i] = f_new;
}
}
}

return x_best;
}

int main() {
printf("MPPT for f(x) = -x^3 + 5x^2 - 3x + 1: %lf\n", mppt(f, 0, 5));
printf("MPPT for g(x) = -x^2 + 5x - 3: %lf\n", mppt(g, 0, 5));
printf("MPPT for h(x) = sin(x) + cos(x): %lf\n", mppt(h, 0, 2 * M_PI));
return 0;
}

希望这个代码能够帮助您解决问题。如果您有任何其他问题，请随时问我。