private void Mutation(ref List <chromosome> Pop, double prob)
{
List <chromosome> tempPop = new List <chromosome>();
for (int i = 0; i < Pop.Count; i++)
{
chromosome temp = Pop[i];
for (int j = 0; j < temp.gene.Length; j++)
{
if (Compare_with_random_value(prob))
{
if (!Optimized_mode)
{
int p = random.Next(temp.gene.Length);
temp.gene[j] = p;
}
else
{
int p = random.Next(temp.gene.Length);
while (p == j)
{
p = random.Next(temp.gene.Length);
}
int t = temp.gene[j];
temp.gene[j] = temp.gene[p];
temp.gene[p] = t;
}
}
}
tempPop.Add(temp);
}
Pop = tempPop;
}
public List <chromosome> GetInitialPopulation(int popsize)
{
List <chromosome> initpop = new List <chromosome>();
if (!Optimized_mode)
{
for (int i = 0; i < popsize; i++)
{
chromosome ch = new chromosome();
ch.gene = new int[8];
for (int k = 0; k < 8; k++)
{
ch.gene[k] = random.Next(8);
}
initpop.Add(ch);
}
}
else
{
for (int i = 0; i < popsize; i++)
{
List <int> t = new List <int>(new int[] { 0, 1, 2, 3, 4, 5, 6, 7 });
chromosome ch = new chromosome();
ch.gene = new int[8];
for (int k = 0; k < 8; k++)
{
int x = random.Next(t.Count);
ch.gene[k] = t[x];
t.RemoveAt(x);
}
initpop.Add(ch);
}
}
return(initpop);
}
private void CalcuteFitness(ref List <chromosome> pop)
{
int collisions = 0;
for (int k = 0; k < pop.Count; k++)
{
for (int i = 0; i < pop[k].gene.Length; i++)
{
int m = i + pop[k].gene[i];
int n = i - pop[k].gene[i];
for (int j = 0; j < pop[k].gene.Length; j++)
{
if (j == i)
{
continue;
}
if (!Optimized_mode)
{
if (pop[k].gene[i] == pop[k].gene[j])
{
collisions++;
}
}
if (j + pop[k].gene[j] == m || j - pop[k].gene[j] == n)
{
collisions++;
}
}
}
chromosome temp = pop[k];
temp.fitness = collisions;
pop[k] = temp;
collisions = 0;
}
pop.Sort(new FitnessComparator());
}
private void crossover(ref List <chromosome> Pop, double prob)
{
List <chromosome> tempPop = new List <chromosome>();
for (int i = 0; i < Pop.Count; i++)
{
if (Compare_with_random_value(prob))
{
chromosome x = get_Parents(Pop);
chromosome y = get_Parents(Pop);
chromosome child = new chromosome();
child.gene = new int[8];
if (!Optimized_mode)
{
int n = random.Next(8);
for (int p = 0; p < n; p++)
{
child.gene[p] = x.gene[p];
}
for (int q = n; q < child.gene.Length; q++)
{
child.gene[q] = y.gene[q];
}
tempPop.Add(child);
}
else
{
for (int k = 0; k < 8; k++)
{
if (Compare_with_random_value(0.5))
{
for (int j = 0; j < x.gene.Length; j++)
{
if (!child.gene.Contains(x.gene[j]))
{
child.gene[k] = x.gene[j];
break;
}
}
}
else
{
for (int j = 0; j < y.gene.Length; j++)
{
if (!child.gene.Contains(y.gene[j]))
{
child.gene[k] = y.gene[j];
break;
}
}
}
}
tempPop.Add(child);
}
}
else
{
chromosome z = get_Parents(Pop);
tempPop.Add(z);
}
}
while (tempPop.Count > Pop.Count)
{
tempPop.RemoveAt(random.Next(tempPop.Count));
}
Pop = tempPop;
}
