Artificial Intelligence - هوش مصنوعی - حل مسائل به کمک الگوريتم ژنتيک!

سلام
پروژه پایانی من الگوریتم ژنتیکه . من کد حل N Queen In C# With GA و TSP IN Mathlab with GA گذاشتم تو پروژه ام حالا استاد راهنما گفته باید حتما بلاک به بلاک کد ها را براش توضیح فارسی بذاری . من هم هیچ بلد نیستم . یه روز دو روز هم بیشتر فرصت ندارم . تورو خدا یکی کمک کنه.

A ) N Queen In C# With GA

using System;
using System.Collections.Generic;
using System.ComponentModel;
using System.Data;
using System.Drawing;
using System.Linq;
using System.Text;
using System.Windows.Forms;

namespace chess2
{
public partial class Form1 : Form
{
int c = 0;
public Form1()
{

InitializeComponent();
}
private int[] rand(int n, int x)
{
Random random = new Random(x + DateTime.Now.Millisecond);
int t = random.Next(0, n);
int[] inta = new int[n];
int c;
string[] abc = new string[n]; ;
for (int i = 0; i < n; i++) { a: t = random.Next(0, n); c = 1; while ((i - c) >= 0)
{
if (inta[i - c] == t)
{
abc[i] = t.ToString();
goto a;

}
c++;
}
for (int i2 = 0; i2 <= i; i2++)
{
if (abc[i2] == t.ToString())
goto a;
}
inta[i] = t;
}
return inta;
}
private Double fib(int n)
{
if (n == 0)
return 0;
if (n == 1)
return 1;
Double tmp = 0;
for (int i = 0; i <= n; i++)
{
tmp += i;
}
return tmp + 0.0;
}

private int[,] cross(int[] pop1, int[] pop2, int n)
{
int[,] pop_4_return = new int[2, n];
for (int c = 0; c < 2; c++)
{
for (int i = 0; i < n; i++) { if ((n / 2) > i)
{
if (c == 0)
{
pop_4_return[c, i] = pop2[i];
}
else
{
pop_4_return[c, i] = pop1[i];
}
}
else
{
if (c == 0)
{
pop_4_return[c, i] = pop1[i];
}
else
{
pop_4_return[c, i] = pop2[i];
}
}
}
}
return pop_4_return;
}
private Double fit(int[] nff, int n)
{
int[,] inta = new int[n, n];
int tmp = 0, fitness = 0;
for (int c = 0; c < n; c++)
{
inta[c, nff[c]] = 1;
}

for (int i = 0; i < n; i++)
{
for (int ii = 0; ii < n; ii++)
{
if (inta[i, ii] == 1)
{
tmp = ii;
goto a;
}
}
a:
for (int i2 = 1; i2 < n; i2++)
{
if (((i + i2) < n))
if ((tmp + i2) < n)
if (inta[i + i2, tmp + i2] == 1)
fitness++;
if (((i + i2) < n)) if ((tmp - i2) >= 0)
if (inta[i + i2, tmp - i2] == 1)
fitness++;
if ((i + i2) < n)
if (inta[i + i2, tmp] == 1)
fitness++;
}
}
Double fibonachi = fib(n - 1) + 0.0;
Double r = 100 - (fitness * (100 / fibonachi));
return r;
}
private int[,] pop_generator(int n)
{
int[,] inta = new int[n, n];
int[] intb = new int[n];
intb = rand(n, c);
c++;
for (int i = 0; i < n; i++)
{
intb = rand(n, c);
while ((fit(intb, n)) < 50.0)
intb = rand(n, c); c++;
for (int j = 0; j < n; j++)
{
inta[i, j] = intb[j];
}
c++;
}
return inta;
}
private int arr_to_var(int[] narr, int n)
{
string nvar = "";
for (int i = 0; i < n; i++)
{
nvar += narr[i].ToString();
}
Int32 n_for_return = Int32.Parse(nvar);
return n_for_return;

}
private int[,] crossover(int[,] pop, int n)
{
int[,] pop_for_return = new int[n, n];
int[,] crosstemp = new int[2, 2];
int[] tmp1 = new int[n];
int[] tmp2 = new int[n];
for (int i = 0; i < n; i += 2)
{
for (int j = 0; j < n; j++)
{
tmp1[j] = pop[i, j];
tmp2[j] = pop[i + 1, j];
}
crosstemp = cross(tmp1, tmp2, n);
for (int j2 = 0; j2 < n; j2++)
{
pop_for_return[i, j2] = crosstemp[0, j2];
pop_for_return[i + 1, j2] = crosstemp[1, j2];
}
}
return pop_for_return;
}
private void printc(int[] arr_4_print, int n)
{
int[,] tmp = new int[n, n];
for (int i = 0; i < n; i++)
tmp[arr_4_print[i], i] = 1;
for (int i = 0; i < n; i++)
{
label1.Text += "\n\r";
for (int j = 0; j < n; j++)
{
if (tmp[i, j] == 1)
label1.Text += "*";
else
label1.Text += "0";
}
}
}
private void Form1_Load(object sender, EventArgs e)
{

}

private void button1_Click(object sender, EventArgs e)
{
Int32 n = Int32.Parse(textBox1.Text);
int[,] pop = new int[n, n];
int[,] cros = new int[n, n];
int[] tmp = new int[n];
pop = pop_generator(n);
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
tmp[j] = pop[i, j];
}
if (fit(tmp, n) == 100.0)
{
printc(tmp, n);
goto a;
}
}
int comp = 1;
int counter = 0;
cros = crossover(pop, n);
while (comp == 1)
{
this.Text = counter.ToString();
counter++;
label1.Text = "";
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
label1.Text += cros[i, j];
}
label1.Text += "\n\r";
}
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
tmp[j] = cros[i, j];
}
if (fit(tmp, n) == 100.0)
{
printc(tmp, n);
comp = 0;
goto a;

}
}
cros = crossover(cros, n);
}
a:
this.Text = "find";
}
}
}

B ) TSP IN Mathlab with GA

clear;clc

matris=rand(50,50);
matris=round(matris*1)+1;
siz=size(matris);
for i=1:siz(2)
for j=1:siz(2)
% m(i,j)=m(j,i);
if i==j
matris(i,j)=0;
end
end
end

qtybest=10;
n=siz(2);
N=100;
F=n+1;
C=40;
M=60;
for i = 1:N
for j= 1 :n
pop (i,j)=j;
end

for i2=1:n
r1=round(rand*(n-1))+1;
r2=round(rand*(n-1))+1;
t=pop(i,r1);
pop(i,r1)=pop(i,r2);
pop(i,r2)=t;
end
end
k=1;
for i=1:N
pop(i,F)=Fitness(pop(i,1:n ),siz(2),matris);
end
while( pop(1,F) ~= siz(2)-1 )
Plot(k)=pop(1,F);
k=k+1;
for i=N+1:N+C
r1=round(rand*(N-1))+1;
pop(i,1:n)=Crossover(pop(r1,1:n),siz(2) );
end
for i=N+C+1:N+C+M
r1=round(rand*(N-1))+1;
pop(i,1:n)=Mutation(pop(r1,1:n),siz(2));
end
for i=N+1:N+C+M
pop(i,F)=Fitness(pop(i,1:n ),siz(2),matris);
end
pop1=Selection(pop,N+M+C,N,F);
pop2=Sort(pop,F,N+C+M);
for i=1:qtybest
pop3(i,1:F)=pop2(i,1:F);
end
for i=qtybest+1:N
pop3(i,1:F)=pop1((i-qtybest),1:F);
end
pop=pop3;
fasele=pop(1,F)
generation=k
clear pop1;clear pop2; clear pop3
for i = 1:siz(2)-1
x(i)=matris(pop(1,i),pop(1,i+1));
end
x(F)=pop(1,F);
end
plot(Plot);
function ret=Selection(pop,L,n,F)
for i=1:n
r1=round(rand*(L-1))+1;
r2=round(rand*(L-1))+1;
if pop(r1,F)<pop(r2,F)
P(i,1:F)=pop(r1,1:F);
else
P(i,1:F)=pop(r2,1:F);
end
end
ret=P;
function ret=Crossover(A,si)
r=round(rand*(si-1))+1;
for i=1:r
B(i)=A(i);
end
j=si;
for i=r+1:si
B(i)=A(j);
j=j-1;
end
ret=B;
function ret=Mutation(A,si)
r1=round(rand*(si-1))+1;
B=A;
r2=round(rand*(si-1))+1;
B(r1)=A(r2);
B(r2)=A(r1);
ret=B;
function ret=Fitness(A,si,matris1)
x=0;
for i = 1:si-1
x=x+matris1(A(i),A(i+1));
end
ret=x;
function ret=Sort(P,b,N)
for i=1:N
for j=i+1:N
if (P(i,b)>P(j,b))
T(1:b)=P(i,1:b);
P(i,1:b)=P(j,1:b);
P(j,1:b)=T(1:b);
end
end
end
ret=P;