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GenAlgo  

Classes and Methods to Use Genetic Algorithms for Feature Selection
View on CRAN: Click here


Download and install GenAlgo package within the R console
Install from CRAN:
install.packages("GenAlgo")

Install from Github:
library("remotes")
install_github("cran/GenAlgo")

Install by package version:
library("remotes")
install_version("GenAlgo", "2.2.1")



Attach the package and use:
library("GenAlgo")
Maintained by
Kevin R. Coombes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-07-13
Latest Update: 2025-04-07
Description:
Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.
How to cite:
Kevin R. Coombes (2017). GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection. R package version 2.2.1, https://cran.r-project.org/web/packages/GenAlgo. Accessed 06 Mar. 2026.
Previous versions and publish date:
2.1.3 (2017-07-13 17:36), 2.1.4 (2018-05-18 17:29), 2.1.5 (2018-10-17 15:20), 2.2.0 (2020-10-15 19:40)
Other packages that cited GenAlgo R package
View GenAlgo citation profile
Other R packages that GenAlgo depends, imports, suggests or enhances
Complete documentation for GenAlgo
Functions, R codes and Examples using the GenAlgo R package
Some associated functions: gaTourResults . genalg-class . genalg-tools . genalg . maha . tourData09 . 
Some associated R codes: AllGenerics.R . cp00-utility.R . cp01-genalg.R .  Full GenAlgo package functions and examples
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