Package: MaOEA
Type: Package
Title: Many Objective Evolutionary Algorithm
Version: 0.7.1
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
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
Config/pak/sysreqs: libicu-dev libpng-dev python3
Repository: https://dots26.r-universe.dev
Date/Publication: 2023-01-22 18:03:45 UTC
RemoteUrl: https://github.com/dots26/maoea
RemoteRef: HEAD
RemoteSha: ad621616553e62ed7eee67f91b6c1fb9fc7d35c4
NeedsCompilation: no
Packaged: 2026-09-18 06:51:21 UTC; root
Author: Dani Irawan [aut, cre] (ORCID: <https://orcid.org/0000-0002-4213-941X>)