Regularizing Evolution: Lifetime

Since TPOT is a GP framework, an interesting feature would be have the possibility of reguralize its evolution with a lifetime of the pipeline.
That would mean that a pipeline can only survive "n" generation and then 'die'.

## Context of the issue

This technique was proposed in a recent google paper where they used evolutionary programming for automatically designing a deep neural network achitecture (that eventually became the actual state-of-the-art in various computer vision problems).

This technique end up in keeping not "good individuals" that have had a perhaps noisy good value on a particular dataset, but rather a good ancestral code that can last the test of time.
This was a somewhat poetic description, but the paper is much more detailed about:
[https://arxiv.org/pdf/1802.01548.pdf](url)

It should not be too difficult to implement.

What do you think about it?