Package: MaOEA
Type: Package
Title: Many Objective Evolutionary Algorithm
Version: 0.6.2
Authors@R: c(	person("Dani", "Irawan", role = c("aut","cre"),email = "irawan_dani@yahoo.com",comment=c(ORCID='0000-0002-4213-941X')))
Maintainer: Dani Irawan <irawan_dani@yahoo.com>
Description: A set of evolutionary algorithms to solve many-objective optimization. 
    Hybridization between the algorithms are also facilitated. Available algorithms are:
    'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008>
    'NSGA-III' <doi:10.1109/TEVC.2013.2281535>
    'MO-CMA-ES' <doi:10.1145/1830483.1830573>
    The following many-objective benchmark problems are also provided: 
    'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and
    'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
BugReports: https://github.com/dots26/MaOEA/issues
URL: https://github.com/dots26/MaOEA
RoxygenNote: 7.1.1
Imports: reticulate, nsga2R, lhs, nnet, stringr, randtoolbox, e1071,
        MASS,gtools, stats, utils, pracma
Suggests: testthat
SystemRequirements: Python 3.x with following modules: PyGMO, NumPy,
        and cloudpickle
NeedsCompilation: no
Packaged: 2020-08-15 01:27:01 UTC; irawan
Author: Dani Irawan [aut, cre] (<https://orcid.org/0000-0002-4213-941X>)
Repository: CRAN
Date/Publication: 2020-08-31 09:40:07 UTC
Built: R 4.6.0; ; 2026-04-28 06:16:52 UTC; unix
