An Intro to Genetic Algorithms

Genetic algorithms are a form of machine learning that is focused on optimizing a particular output or outputs based on successive production of derived equations. The approach can be useful for optimizing a particular result when no training data are available, and when the optimization isn't known mathematically. These algorithms use the combination of selection, recombination, and mutation to evolve a solution to a problem. At a descriptive level, the intent of a genetic algorithm is to make a set of attempts at solving a problem using randomly selected equations. The first time through, it's likely that none of the solutions are very good.