Genetic algorithms have increasingly been applied to economics since the pioneering work by John H. Miller in 1986. It has been used to characterize a variety of models including the cobweb model, the overlapping generations model, game theory, schedule optimization and asset pricing. Specifically, it has been used as a model to represent learning, rather than as a means for fitting a model.