Hands-On Genetic Algorithms with Python

Choosing the genetic operators

We now need to decide on the genetic operators to be used—selection, crossover, and mutation. In the previous chapter, we examined several different types of each of these operators. Choosing the genetic operators is not an exact science, and we can usually experiment with several choices. But while selection operators can typically work with any chromosome type, the crossover and mutation operators we choose need to match the chromosome type we use, otherwise they could produce invalid chromosomes.

For the selection operator, we can start with Tournament selection because it is simple and efficient. We can later experiment with other selection strategies, such as roulette wheel selection and SUS.

For crossover ...