nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for 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.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

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