Abstract: Taking inspiration from nature, genetic algorithms provide an approach to optimization which mimics aspects of natural selection. Breeding, mutation, and ‘survival of the fittest’ all drive a population of individuals, generation by generation, towards their fittest form. In this talk I will present an introduction to genetic algorithms and discuss ongoing work utilizing genetic algorithms to search for consistent intersecting brane models.