On Tuesday, 29 April 2014 19:17:50 UTC+2, Hans W Borchers wrote:
> [...]
> As Arnold Neumaier once wrote on
>
> I found CMA-ES quite robust in dimensions up to 50.
> (It gets very slow though when the dimension is large.)
>
we can make this more specific: with n the search space dimensio
In R there are implementations of both the minimal CMA-ES code (also called
bareCMAES or pureCMAES, the Wikipedia version) and an adaption of the
Matlab code in parts. We have done lots of tests with these
implementations. It turned out in too many cases that the implementations
are unstable an
good question, the Matlab version is now also released in the public
domain. The code is in any case also given in Wikipedia.
-- Niko
On Wednesday, 4 September 2013 17:07:13 UTC+2, John Myles White wrote:
>
> If someone feels up to it, it would be great to ask the author why the
> Python versi
On Wednesday, 4 September 2013 16:29:28 UTC+2, Isaiah wrote:
Maybe this is less useful, but the basic/demo version (by the author
> himself) is public domain:
> https://www.lri.fr/~hansen/barecmaes2.py
>
> And the Apache commons Java version claims to be Apache licensed, though
> it is explicitl
