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sobe86 t1_jalldpg wrote

Reply to comment by sugar_scoot in [D] Are Genetic Algorithms Dead? by TobusFire

Plus also there needs to be a learnable, nontrivial 'strategy' to take advantage of, otherwise it's not going to beat simulated annealing except on speed. The couple of times I've used it in practice, SA was about as good as we could get performance-wise.

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TobusFire OP t1_janxqya wrote

My thoughts too. Simulated annealing and similar strategies seem to intuitively be better is most cases where traditional gradient methods aren't applicable. I can imagine a handful of cases where genetic algorithms MIGHT be better, but even then I am not fully convinced and it just feels gimmicky.

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