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rmoo
View on CRAN: Click
here
Download and install rmoo package within the R console
Install from CRAN:
install.packages("rmoo")
Install from Github:
library("remotes")
install_github("cran/rmoo")
Install by package version:
library("remotes")
install_version("rmoo", "0.2.0")
Attach the package and use:
library("rmoo")
Maintained by
Francisco Benitez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rmoo . https://github.com/Evolutionary-Optimization-Laboratory/rmoo/issues/ . https://github.com/Evolutionary-Optimization-Laboratory/rmoo/ . rmoo results . rmoo.pdf . rmoo_0.2.0.tar.gz . rmoo_0.2.0.zip . rmoo_0.2.0.zip . rmoo_0.2.0.zip . rmoo_0.2.0.tgz . rmoo_0.2.0.tgz . rmoo_0.2.0.tgz . rmoo_0.2.0.tgz . rmoo_0.2.0.tgz . rmoo_0.2.0.tgz . rmoo archive . https://CRAN.R-project.org/package=rmoo .
First Published: 2020-11-12
Latest Update: 2022-09-24
Description:
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) and
implementing the Non-Dominated Sorting Genetic Algorithms proposed
by K. Deb's.
How to cite:
Francisco Benitez (2020). rmoo: Multi-Objective Optimization in R. R package version 0.2.0, https://cran.r-project.org/web/packages/rmoo. Accessed 26 Mar. 2025.
Previous versions and publish date:
Other packages that cited rmoo R package
View rmoo citation profile
Other R packages that rmoo depends,
imports, suggests or enhances
Complete documentation for rmoo
Functions, R codes and Examples using
the rmoo R package
Some associated functions: algorithm-class . associate . crowding_distance . generate_reference_points . getCrowdingDistance-methods . getDummyFitness-methods . getFitness-methods . getMetrics-methods . getPopulation-methods . get_fixed_rowsum_integer_matrix . kroA100 . kroB100 . kroC100 . niching . non_dominated_fronts . nsga-class . nsga . nsga1-class . nsga2-class . nsga2 . nsga3-class . nsga3 . nsgaControl . nsgaMonitor . nsga_Crossover . nsga_Mutation . nsga_Population . nsga_Selection . numberOrNAOrMatrix-class . performance_metrics . plot-methods . print-methods . progress-methods . reference_point_multi_layer . rmoo-package . rmoo_func . scale_reference_directions . sharing . summary-methods . update_points .
Some associated R codes: AllClasses.R . AllGenerics.R . associate.R . crowding_distance.R . data.R . generate_reference_points.R . geneticoperator.R . get_fixed_rowsum_integer_matrix.R . miscfun.R . niching.R . non_dominated_fronts.R . nsga.R . nsga2.R . nsga3.R . nsgaControl.R . performance_metrics.R . reference_point_multi_layer.R . rmoo.R . rmoo_func.R . sharing.R . update_points.R . zzz.R . Full rmoo package functions and examples
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