Who says genetic algorithms are dead? They're pretty much dead for training neural nets absolutely, but there are tons of other more general optimization problems that GAs (or more generally evolutionary algorithms) are well suited for.

Not to mention they still have plenty of utility as a search algorithm for hyperparameters so they aren't even dead for neural applications.