NeuroEvolution of Augmenting Topologies is a genetic algorithm for the generation of evolving artificial neural networks (a neuroevolution technique) developed by Kenneth Stanley and Risto Miikkulainen in 2002 while at The University of Texas at Austin.

In topology and related areas of mathematics, the set of all possible topologies on a given set forms a partially ordered set.