Genetic algorithms refer to a method area of machine learning simulating natural selection. In this process, parameter constellations are iteratively modified (mutation) and tested in different combinations (recombination). The goal is to find the optimal combination of parameters to solve a task.

ISO/IEC DIS 22989 algorithm which simulates natural selection by creating and evolving a population of individuals (solutions) for optimization problems