Sure, if you're working on problems that are trivial to evaluate. If your goal is to find good algorithms or parameters then you can pick a problem that evaluates fast.

But for many interesting problems evaluation will be the bottleneck, and it doesn't matter if the evolution algorithm fits into L2. It is more important to make use of distributed computing, e.g. it shouldn't have to stop all evaluations to make progress, or alternatively it should work well with very large population sizes.