Hello Saurav, thanks for getting in touch.
There is an open discussion on the mailing list: http://knife.lugatgt.org/pipermail/mlpack/2018-January/003438.html make sure to look at the answer as well. > Also, I had few more ideas in my mind. We can also implement few genetic > algorithms for constrained multiobjective optimization tasks. I would love to > discuss these ideas with the mentors. Sounds good, I'm open to discuss further ideas. Either here on the mailing list or on IRC. > Where should I start contributing for PSO unconstrained/ constrained > optimization? Getting familiar with the codebase especially with the optimization framework is a good starting point. https://arxiv.org/abs/1711.06581 could be helpful too. If you like you could implement an nonexisting optimization method, but don't feel obligated. I hope anything I said was helpful, let me know if I should clarify anything. Thanks, Marcus > On 12. Feb 2018, at 14:56, Saurav Agarwal <saurav.agarwal2...@gmail.com> > wrote: > > Hi, > I am being really curious about working on the project of PSO constrained > and unconstrained optimization and algorithm optimization for mlpack > implementation. > Also, I had few more ideas in my mind. We can also implement few genetic > algorithms for constrained multiobjective optimization tasks. I would love to > discuss these ideas with the mentors. > Where should I start contributing for PSO unconstrained/ constrained > optimization? > > -- > Regards, > Saurav Agarwal > > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
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