In the context of genetic algorithms, a genetic operator is a function that is applied to the genetic material of individuals in a population in order to create new, offspring individuals. These operators typically mimic biological processes such as crossover (also known as recombination), mutation, and selection. The purpose of these operators is to introduce variation into the population, allowing the algorithm to explore different solutions and potentially find better ones.
Here is an example of how a genetic operator might be implemented in Go: