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Local peaks can't always be found quickly! Hard landscapes are subject to ultimate constraint on evolution: computation. Can hide winding paths.

genetics.org/content/early/…

My path to this paper has been very long: ~7 years in the making. It finally found its peak in @GeneticsGSA.
I'm glad to see this paper is popular with twitter. Thanks!

Since I don't have a SoundCloud to plug, I thought I'd make a tweetstorm summarizing the main results of this paper.

There is a lot to go through, so I apologize for the length of the thread. But I hope you enjoy!
Evolutionary constrains keep populations away from local optima (peaks) in fitness landscapes.

I introduce a division of constraints into 2 types: proximal & ultimate.

This is related to computer science distinction between algorithms & problems [1/n]: egtheory.wordpress.com/2018/07/24/evo…
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