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I am learning about Data Science and I love the Healthcare part. That's why I have started a blog and my third entry is about using Genetic Algorithm for solving NP-Problems. This post is https://datasciencecgp.wordpress.com/2015/01/31/the-amazing-genetic-algorithms/

I have some expertise with GA package solving problems like the TSP, but do you know any most powerful R package?

Thanks so much!

cgperal
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  • This is too broad. What specifically are you hoping to learn? what problems are you trying to solve? – Sean Owen Feb 03 '15 at 11:49
  • I'm trying to learn how to use Genetic Algorithms and try to learn when to apply, for example answers like Stephan are welcome to improve the investigation with Genetics and R. – cgperal Feb 03 '15 at 11:58
  • Hi Sean, I've focused more my question, is it OK? – cgperal Feb 05 '15 at 11:19
  • I found the glmulti package useful for GA-like fitting. One of the problems with "best package" questions is that without a good understanding of the nature of the problem, the data, and the goal - the means to get to the answer are unknonw. – EngrStudent Mar 06 '15 at 16:48

2 Answers2

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For such questions, I like to go to the Task Views on CRAN, since the packages noted there are, to a degree, pre-vetted by the R community. I'd trust those a tiny bit more than just googling myself.

The Machine Learning Task View at CRAN says:

Packages rgp and rgenoud offer optimization routines based on genetic algorithms. The package Rmalschains implements memetic algorithms with local search chains, which are a special type of evolutionary algorithms, combining a steady state genetic algorithm with local search for real-valued parameter optimization.

Stephan Kolassa
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Adding to Stephan's answer (I am unable to comment), there is actually an Optimization task view on CRAN that is even more relevant:

CRAN Task View: Optimization and Mathematical Programming

Craig
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