FAQ's
The genetic algorithm uses natural selection to find the right individuals later selected for reproduction to produce the following offspring.
The three stages of a genetic algorithm include initialization, fitness function, convergence, selection, e.t.c.
We use it in computational stimulation to find the biological evolution processes using probability and search techniques.
The working principle of a genetic algorithm is to find the solutions to all the optimization problems.
The two main features of genetic algorithms are crossover techniques and fitness functions.