<![CDATA[BOL: Quick tour of Genetic Algorithms !]]> https://bioinformaticsonline.com/bookmarks/view/38702/quick-tour-of-genetic-algorithms? https://bioinformaticsonline.com/bookmarks/view/38702/quick-tour-of-genetic-algorithms Thu, 17 Jan 2019 03:42:48 -0600 https://bioinformaticsonline.com/bookmarks/view/38702/quick-tour-of-genetic-algorithms <![CDATA[Quick tour of Genetic Algorithms !]]> The R package GA provides a collection of general purpose functions for optimization using genetic algorithms. The package includes a flexible set of tools for implementing genetic algorithms search in both the continuous and discrete case, whether constrained or not. Users can easily define their own objective function depending on the problem at hand. 

https://cran.r-project.org/web/packages/GA/vignettes/GA.html

Address of the bookmark: https://cran.r-project.org/web/packages/GA/vignettes/GA.html

]]> Jit https://bioinformaticsonline.com/bookmarks/view/38702/quick-tour-of-genetic-algorithms#item-annotation-3678 Sun, 15 Dec 2019 12:56:26 -0600 https://bioinformaticsonline.com/bookmarks/view/38702/quick-tour-of-genetic-algorithms#item-annotation-3678 <![CDATA[Comment by Shruti Paniwala]]> Useful links 

https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3

https://github.com/memento/GeneticAlgorithm

]]> Shruti Paniwala