I read through the Evolving Neural Networks through Augmenting Topologies (NEAT) paper. I understand the algorithm now, but one thing is still unclear to me.
When does the mutation occur and how does it take place? How is it chosen whether to add a node or to add a connection mutation? Furthermore, how is it chosen where the mutation is taking place in the network (between which connections)?