[mlpack] Implementation of Evolutionary Algorithms

[Marcus Edel]

Hello Rahul,

there is definitely room for evolutionary algorithms; Personally, I like the
NEAT or HyperNEAT idea but if you have something else in mind let's start a
discussion. Also, we spent some time last year to strip out the optimization
infrastructure from mlpack into its own package:

https://ensmallen.org/
https://github.com/mlpack/ensmallen

So I think the right place for an additional optimization method would be the
ensmallen repository. Let me know what you think.

Thanks,
Marcus

> On 19. Jan 2019, at 17:00, Rahul Prabhu <cupertinorp at gmail.com> wrote:
> 
> Hi,
> Recently I have been studying and working with evolutionary algorithms, and wondered whether you would be interested in implementations of evolutionary algorithms like genetic algorithms, learning classifier systems and the like, and if so, which algorithms you would be interested in.
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