Abstract Searching for efficient networks can prove a very difficult analytical and even computational task. In this paper, we explore the possibility of using the genetic algorithms (GA) technique to identify efficient network structures in the case of nontrivial payoff functions. The robustness of this method in predicting optimal networks is tested on the two simple stylized models introduced b
