The 'rmoo' package is a framework for multi- and many-objective optimization, which allows researchers and users versatility in parameter configuration, as well as tools for analysis, replication and visualization of results. The 'rmoo' package was built as a fork of the 'GA' package by Luca Scrucca(2017) <doi:10.32614/RJ-2017-008> and implementing the Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.
Version: 0.2.0 Depends: R (≥ 2.10) Imports: stats, utils, graphics, methods, GA, grDevices, ggplot2, plotly Suggests: testthat, covr, rgl, ecr, emoa, cdata, dplyr, reshape2 Published: 2022-09-24 DOI: 10.32614/CRAN.package.rmoo Author: Francisco Benitez [aut, cre], Diego Pinto Roa [aut] Maintainer: Francisco Benitez <benitezfj94 at gmail.com> BugReports: https://github.com/Evolutionary-Optimization-Laboratory/rmoo/issues/ License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/Evolutionary-Optimization-Laboratory/rmoo/ NeedsCompilation: no Language: es Materials: README In views: Optimization CRAN checks: rmoo results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=rmoo to link to this page.
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