Genetic algorithms find solutions by "evolving" a solution from less fit to more fit versions. In this session, we'll look at the basics of genetic algorithms, what types of problems lend themselves to this approach, and then demonstrate a genetic algorithm to create art and then look at examples of using AI to optmize the algorithm. We will spend just a few minutes looking at code, but the talk is aimed at explaining the concepts of both genetic algorithms and AI optimization in a way that should be useful for both developers and non-developers.