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 <[email protected]> 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. > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
