Genetic algorithms, based on the concept of biological evolution, have historically been used to solve complex problems with huge solution spaces.
In this paper, we describe how we implement a genetic algorithm and an elevator simulation model, and examine the possibilities to use the genetic algorithm to crate a well functioning elevator control system.
Despite our failure to come up with a satisfying control system, we find a lot of potential to solve this kind of problems with genetic algorithms and describe a possible process for doing this.