Hello Artem, the FPA method looks interesting, would be nice to have an implementation; happy to review the code. 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 Thanks, Marcus > On 8. Jan 2019, at 16:30, Artem Fedoskin <afedosk...@gmail.com> wrote: > > Dear Marcus and other mlpack contributors, > > My last seminar paper was Flower Pollination Algorithm for Global > Optimization <https://arxiv.org/abs/1312.5673>, which describes an > interesting evolutionary algorithm that performs better than PSO and GA (as > stated by the paper). The algorithm is not hard to implement and I am curious > whether it would be worth to have this algorithm in mlpack? > > Currently I'm exploring mlpack's codebase and I think it would be an > interesting task for me to implement such an algorithm as a part of > preparation for GSoC 2019. > > What do you think? > > Regards, Artem Fedoskin > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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