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Are there any Mathematica implementations of genetic algorithm optimization routines, including third-party and commercial? (DifferentialEvolution isn't quite what is required.) Also, more generally, are there any Mathematica libraries/depositories?

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    $\begingroup$ Not sure if this is what you're after, but check this out: community.wolfram.com/groups/-/m/t/1378466 $\endgroup$
    – CA Trevillian
    Commented Jun 6, 2019 at 5:22
  • $\begingroup$ Looks promising - I will. $\endgroup$
    – spaced
    Commented Jun 6, 2019 at 7:57
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    $\begingroup$ For third-party commercial packages there is Evolved Analytics DataModeler. It uses genetic programming (see the web site for details). $\endgroup$
    – Daniel Lichtblau
    Commented Jun 6, 2019 at 16:37
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    $\begingroup$ Maybe you can check out my own package GeneticAlgorithm. github.com/paulps2/Mathematica-GA $\endgroup$
    – 407PZ
    Commented Oct 22, 2020 at 17:11
  • $\begingroup$ @407PZ Is this published - do you have a reference for me if I use your code and do you have benchmarks etc? $\endgroup$
    – Letshin
    Commented Jan 19, 2021 at 12:04

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The 'classic' text on GAs, and much more, with code, is Jacob, Illustrating Evolutionary Computation with Mathematica. https://read.amazon.com/kp/embed?asin=B00BCRB6JO&preview=newtab&linkCode=kpe&ref_=cm_sw_r_kb_dp_08NE06RNH7T0DWF35EVW

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