Hi All, I, too, am trying to find a GA optimiser for Julia, and I think Evolutionary.jl is in the works, but I tried using it and (IMO) it doesn’t work yet (except for some toy examples). However, the author seems responsive to feedback and seems to be actively working on it.
Oddly, I have managed to get BlackBoxOptim to do GA’s using trickery (e.g. limiting continuous variables to [0,1] and then rounding for binary) but that’s all I have found. Surely someone out there has a better idea?
I saw something in sklearn which I know Julia has, but I don’t know to use it.
Perhaps there is another package that has GA that has been ported from python?
Thanks for any ideas
[Update - since this post, the Author of Evolutionary has updated the package and provided additional documentation, and I have indeed gotten the algorithms to work usefully on examples in both GA and CMAES - Thank you Art!]