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markisusyesterday at 3:52 PM3 repliesview on HN

The paper does not give that many details about the evolution part. Normally, evolutionary algorithms contain some cross-over component where solutions can breed with each other. Otherwise it's better classified as hill climbing / beam search.


Replies

mattdeslyesterday at 4:10 PM

There's also 'evolutionary strategy' algorithms that do not use the typical mutation and crossover, but instead use a population of candidates (search samples) to basically approximate the gradient landscape.

vessenesyesterday at 11:42 PM

One intriguing caption mentioned something requiring 16 “mutations”. I’d sure like to know how these mutations work.

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quantumHazeryesterday at 5:51 PM

I fear it’s not really evolutionary algorithms in the typical sense.