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DEoptimR

1.2-2Package record

Differential Evolution Optimization in Pure R

5packages dependsuggested by 2
1.1Mdownloads / year
76.4%test coverage
13/13flavors OK

Overview

About

Differential Evolution (DE) stochastic heuristic algorithms for global optimization of problems with and without general constraints. The aim is to curate a collection of its variants that (1) do not sacrifice simplicity of design, (2) are essentially tuning-free, and (3) can be efficiently implemented directly in the R language. Currently, it provides implementations of the algorithms 'jDE' by Brest et al. (2006) doi:10.1109/TEVC.2006.872133 for single-objective optimization and 'NCDE' by Qu et al. (2012) doi:10.1109/TEVC.2011.2161873 for multimodal optimization (single-objective problems with multiple solutions).

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-oldrel-macos-arm64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2-2
READMENoVignettesNoNEWSYes · does not mention 1.2-2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
3
Examples that run
0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
90%
Return-value docs
100%
Help pages citing references
100%

Downloads

1.1M
CRAN downloads in the past year
Rank #358 · ~2.9K/day · ~89.6K/mo
Daily download trend is not available in this view yet.
91.8K30 days
262.3K90 days
1.1M1 year
Compare downloads with other packages →
Also on49.3K r2u110 autocran86.7K conda_forge685 bioconda1.6K c2d4u

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing DEoptimR adds no packages beyond those that come with R.

Depends (0)
none
Imports (2)
statsmethods
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
5direct
402indirect
Depends 1 · Imports 4
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 1.0-0 (2013)
Contributor
Listed in earlier versions (1)
Eduardo L. T.
no longer listed · 1.0-10 to 1.2-2
Releases (23)

Pick two releases to compare their code metrics.

Show 21 earlier eventsHide 21 earlier events
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0-11
    record
    2022-04-03 · diff ↗
  • 1.0-10
    record
    2022-01-03 · diff ↗
  • 1.0-9
    record
    2021-05-24 · diff ↗
  • 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
  • 1.0-8
    record
    2016-11-19 · diff ↗
  • 1.0-6
    record
    2016-07-06 · diff ↗
  • 1.0-5
    record
    2016-07-01 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0-4
    record
    2015-10-23 · diff ↗
  • 1.0-3
    record
    2015-07-19 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0-2
    record
    2014-10-19 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0-1
    record
    2014-02-04 · diff ↗
  • 1.0-0
    record
    2014-01-27
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-01-27
Total releases
23 / 12 yrs
License
GPL (>= 2) OSI
Download size
24 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DEoptimR")
Conceicao, E. L. T., & Maechler, M. (2026). DEoptimR: Differential Evolution Optimization in Pure R (Version 1.2-2) [Computer software]. https://doi.org/10.32614/CRAN.package.DEoptimR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 DEoptimR version 1.2-2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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