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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 |
| 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:
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https://CRAN.R-project.org/package=rmoo
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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