An Investigation of GAs

Abstract

Genetic Algorithms (GAs), a subset of evolutionary algorithms, are used to solve complex optimization problems. Given a set or population of candidate solutions to an optimization problem, a GA will attempt to evolve the population to an optimized fitness level. In this presentation I will describe the basics of GAs, including problems they are used for, the varying structures used to represent GAs, and examples to illustrate their use.