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The next topic in focus shall be PID Control

In genetic algorithm
After fitness score, next step is to do selection.
Let's consider Roulette wheel selection process.

In Roulette wheel, the circle area is divided in parts.
So let's consider a linear array instead of a circle to relate it with a circle.
Population is as follows
char Popn[11];
Popn[11] = { A, B, C, D, E, F, G, H, I, J};
Now the fitness score of the Popn is a numeric value:
int Fitscore[10] = {1, 1, 1, 2, 0, 0, 0, 3, 0, 1, 1};
here let's see the fitness sum
int fitsum = 10; // summed up the fitscore manually
next lets' review the area of roulette wheel in a linear array
char RW_Array[11] ={'A', 'B' , 'C', 'D','D', 'H','H','H','I','J'};
We see that 'H' has the maximum area and 'E','F','G' does not have any area as there fitness score is 0.
So if we play the wheel then lets see how and what Population is getting selected from the Roulette wheel array.
To do this generate a random number between index 0 to 9 for two trials to fetch two parents.
int i, r, Parent[2];
TRIAL 2;
for (i = 0; i < TRIAL; i++) {
r = random();
Parent[i] = r;
}
the two random numbers in parent will be index for Population Array.
// fetch the two parent
char Parent1, Parent2;
int index1, index2;
index1 = Parent[0];
index2 = Parent[1];
Parent1 = Popn[index1];
Parent2 = Popn[index2];
Hence the Roulette wheel has provided the two fit parents for reproduction stage.
Hope this post helps!!!