Normative systems are a widely used framework to coordinate interdependent activities in multi-agent systems. Most research in this area has focused on how to compute normative systems that effectively accomplish a coordination task, as well as additional criteria such as synthesising norms that do not over-regulate a system, and the emergence of norms that remain stable over time. We introduce a framework for the synthesis of stable normative systems that are sufficient and necessary for coordination. Our approach is based on ideas from evolutionary game theory. We simulate multi-agent systems in which useful norms are more likely to prosper than useless norms. We empirically show the effectiveness of our approach in a simulated traffic domain.