An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithmthat 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) for a detailed description.
Version:0.0.3Depends:R (≥ 2.10.0)Imports:mlr, parallelMap, rPref, xgboostSuggests:testthat, knitr, rmarkdownPublished:2019-02-18DOI:10.32614/CRAN.package.nsga3Author:Artem ShramkoMaintainer:Artem Shramko License:GPL-3NeedsCompilation:noCRAN checks:nsga3 resultsDocumentation: Reference manual: nsga3.pdfDownloads: 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.zipmacOS 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.