# A Complexity Analysis of Evolutionary Algorithms

**URL:** <https://discourse.peacefulscience.org/t/a-complexity-analysis-of-evolutionary-algorithms/2637>\
**Category:** Side Conversation\
**Tags:** Science\
**Created:** [November 7, 2018, 12:28am UTC](https://discourse.peacefulscience.org/t/a-complexity-analysis-of-evolutionary-algorithms/2637 "2018-11-07T00:28:24Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![Patrick](https://avatars.discourse-cdn.com/v4/letter/p/b2d939/32.png) [@Patrick](https://discourse.peacefulscience.org/u/Patrick)\
**Post date:** [November 7, 2018, 12:35am UTC](https://discourse.peacefulscience.org/t/a-complexity-analysis-of-evolutionary-algorithms/2637/2 "2018-11-07T00:35:14Z")

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> [@Gauger and Mercer: Bifunctional Proteins and Protein Sequence Space](https://discourse.peacefulscience.org/t/gauger-and-mercer-bifunctional-proteins-and-protein-sequence-space/2305/127):
>
> I’m out of my depth in the biochemistry, but combinatorial problems I can address. There is a computer science paper showing that Genetic Algorithms are very efficient, O[nlog(n)]O[n\log(n)]. which is about as efficient as it gets. I will start a new topic and add a link here.

this is a great topic to discuss and to tie in with entropy and information theory. I am sure the genetic code is optimizes some type of energy conservation. I am not remotely knowledgeable in this area but would love to here was has been done in this area.

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