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nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm IIIfor Feature Selection

An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithm that solves multiple optimization problems simultaneously by applying a non-dominated sorting technique. It uses a reference points based selection operator to explore solution space and preserve diversity. See the original paper by K. Deb and H. Jain (2014) <doi:10.1109/TEVC.2013.2281534> for a detailed description.

Version:0.0.3
Depends:R (≥ 2.10.0)
Imports:mlr,parallelMap,rPref,xgboost
Suggests:testthat,knitr,rmarkdown
Published:2019-02-18
DOI:10.32614/CRAN.package.nsga3
Author:Artem Shramko
Maintainer:Artem Shramko <art.shramko at gmail.com>
License:GPL-3
NeedsCompilation:no
CRAN checks:nsga3 results

Documentation:

Reference manual:nsga3.html ,nsga3.pdf

Downloads:

Package source: nsga3_0.0.3.tar.gz
Windows binaries: r-devel:nsga3_0.0.3.zip, r-release:nsga3_0.0.3.zip, r-oldrel:nsga3_0.0.3.zip
macOS binaries: r-release (arm64):nsga3_0.0.3.tgz, r-oldrel (arm64):nsga3_0.0.3.tgz, r-release (x86_64):nsga3_0.0.3.tgz, r-oldrel (x86_64):nsga3_0.0.3.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=nsga3to link to this page.


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