Hands-On Genetic Algorithms with Python

Uniform crossover

In the uniform crossover method, each gene is independently determined by randomly choosing one of the parents. When the random distribution is 50%, each parent has the same chance of influencing the offspring, as illustrated in the following diagram:

Uniform crossover example

Note that, in this example, the second offspring was created by complementing the choices made for the first offspring, however, both offspring can also be created independently of each other.

In this example, we used integer-based chromosomes, but it would work similarly with binary ones.

Since this method does not exchange entire segments of the chromosome, ...