Package: rmoo
Title: Multi-Objective Optimization in R
Version: 0.1.7
Authors@R: 
    c(person(given = "Francisco",
             family = "Benitez",
             role = c("aut", "cre"),
             email = "benitezfj94@gmail.com"),
      person(given = "Diego",
             family = "Pinto Roa",
             role = "aut",
             email = "dpinto@pol.una.py",
             comment = c(ORCID = "0000-0003-2479-9876")))
Description: A multiobjective optimization package based on K. Deb's 
    algorithm and inspired in 'GA' package by Luca Scrucca (2017) <DOI:10.32614/RJ-2017-008>. 
    The 'rmoo' package is a framework for multi- and many-objective optimization, 
    allowing to work with representation of real numbers, permutations and 
    binaries, offering a high range of configurations.
License: GPL (>= 2)
Encoding: UTF-8
Language: es
LazyData: true
RoxygenNote: 7.1.1
Collate: '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' 'numberOrNAOrMatrix-class.R'
        'nsga-class.R' 'nsga.R' 'nsga2-class.R' 'nsga2.R'
        'nsga3-class.R' 'nsga3.R' 'nsgaControl.R'
        'reference_point_multi_layer.R' 'rmoo.R'
        'performance_metrics.R' 'plotting.R' 'sharing.R'
        'update_points.R' 'zzz.R'
Imports: stats, utils, ecr, graphics, methods, grDevices, ggplot2,
        reshape2, dplyr, cdata, plotly
URL: https://github.com/Evolutionary-Optimization-Laboratory/rmoo/
BugReports: https://github.com/Evolutionary-Optimization-Laboratory/rmoo/issues/
Suggests: testthat, covr, rgl
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2021-09-06 23:23:08 UTC; Fran
Author: Francisco Benitez [aut, cre],
  Diego Pinto Roa [aut] (<https://orcid.org/0000-0003-2479-9876>)
Maintainer: Francisco Benitez <benitezfj94@gmail.com>
Repository: CRAN
Date/Publication: 2021-09-07 04:30:02 UTC
