rmoo: Multi-Objective Optimization in R
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 |
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