I can get fit and up to maximum fitness quickly.
Since genetic algorithm searches for the optimal solution, on basis of the maximum fitness, which is inversely proportional to the minimum error in (8), we need to define the fitness function as follows (9) F (S, I ) = 1 J (S, I ) Therefore, (10) max (S, I ) F (S, I ) = 1 min (S, I ) J (S, I ) - Choose a species for cell population density control.
I feel I have reached maximum fitness.
2) Statistics: The maximum fitness f max, minimum fitness f min, the sum of fitness ∑f, and average fitness f avg of this generation are calculated.
f avg ; f min ; and f max denote the average fitness, minimum fitness, and maximum fitness of the population in each generation, respectively.
The best design in each generation, is the design that has the maximum fitness value or best fitness value in that generation, and the average fitness value is the mean of all fitness value in that generation.
The maximum fitness measure and its associated chromosomes are tracked and saved.
It is noticeable that after a certain number of generations, the maximum fitness value remains constant.
The elite is a small group containing individuals with maximum fitness values.
As a result, the average fitness of 20 solutions (bar{J}) and the maximum fitness J max changed with the generation, as shown in Fig. 15.
