[mnky9800n]

> There are a few problems with this approach though. For one, there are often many local maxima that a genetic algorithm can easily converge on.

> Secondly, the state space is often enormous, and testing/discarding millions of generations of poorly constructed networks is a very inefficient way of sampling it.

This is true for the living as well.