The fundamental problem with evolutionary strategies is that they are a freakin nightmare to evaluate. It's basically impossible to reason about their mathematical properties, experiments are noisy as hell, and how representative are the benchmark objective functions anyway? It's just really hard to do good science with those, which means it's hard to make concrete improvement. Sure, once upon a time they were the only choice for noisy, gradient free global optimization problems. But now we have Bayesian optimization.