Skip to content

Elitist Non-Dominated Sorting Genetic Algorithm

4packages depend
5.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Box-constrained multiobjective optimization using the elitist non-dominated sorting genetic algorithm - NSGA-II. Fast non-dominated sorting, crowding distance, tournament selection, simulated binary crossover, and polynomial mutation are called in the main program. The methods are described in Deb et al. (2002) doi:10.1109/4235.996017.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Ming-Chang (Alan) Lee <alan9956@ydu.edu.tw>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Ching-Shih",
                      family = "Tsou",
                      role = "aut",
                      email = "cstsou@mail.ntcb.edu.tw",
                      comment = "Vince"),
               person(given = "Ming-Chang",
                      family = "Lee",
                      role = "cre",
                      email = "alan9956@ydu.edu.tw",
                      comment = "Alan"))
as necessary.

CRAN check page ↗

Slowest check: 57 s · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
100%

Downloads

5.7K
CRAN downloads in the past year
Rank #11,274 · ~16/day · ~474/mo
Daily download trend is not available in this view yet.
33530 days
95290 days
5.7K1 year
Compare downloads with other packages →
Also on116 r2u4 autocran822 conda_forge83 c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing nsga2R adds 1 package (1 with compiled code, 36 KB of source tarballs). Heaviest: mco 36 KB.

Depends (1)
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
4direct
0indirect
Imports 4
Depends, Imports or LinkingTo, most downloaded first

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2013)

Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.1Latest
    record
    2022-05-23 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    record
    2013-06-16
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-06-16
Total releases
2 / 13 yrs
License
LGPL-3 OSI
Download size
6.5 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nsga2R")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nsga2R version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy