Package: genetic.algo.optimizeR 0.3.2

genetic.algo.optimizeR: Genetic Algorithm Optimization

Genetic algorithm are a class of optimization algorithms inspired by the process of natural selection and genetics. This package is for learning purposes and allows users to optimize various functions or parameters by mimicking biological evolution processes such as selection, crossover, and mutation. Ideal for tasks like machine learning parameter tuning, mathematical function optimization, and solving an optimization problem that involves finding the best solution in a discrete space.

Authors:Dany Mukesha [aut, cre]

genetic.algo.optimizeR_0.3.2.tar.gz
genetic.algo.optimizeR_0.3.2.zip(r-4.7)genetic.algo.optimizeR_0.3.2.zip(r-4.6)genetic.algo.optimizeR_0.3.2.zip(r-4.5)
genetic.algo.optimizeR_0.3.2.tgz(r-4.6-any)genetic.algo.optimizeR_0.3.2.tgz(r-4.5-any)
genetic.algo.optimizeR_0.3.2.tar.gz(r-4.7-any)genetic.algo.optimizeR_0.3.2.tar.gz(r-4.6-any)
genetic.algo.optimizeR_0.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
genetic.algo.optimizeR/json (API)
NEWS

# Install 'genetic.algo.optimizeR' in R:
install.packages('genetic.algo.optimizeR', repos = c('https://danymukesha.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/danymukesha/genetic.algo.optimizer/issues

Pkgdown/docs site:https://danymukesha.github.io

On CRAN:

Conda:

experimentaldesigntechnology

4.00 score 10 scripts 598 downloads 6 exports 91 dependencies

Last updated from:1a2a1a1899. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK187
source / vignettesOK243
linux-release-x86_64OK184
macos-release-arm64OK163
macos-oldrel-arm64OK263
windows-develOK134
windows-releaseOK133
windows-oldrelOK115
wasm-releaseOK153

Exports:crossoverevaluate_fitnessinitialize_populationmutationreplacementselection

Dependencies:askpassbase64encBHBiobaseBiocGenericsBiocManagerbiocViewsbitbit64bitopsbslibcachemclicliprcpp11crayoncurlDiagrammeRdigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegraphgtablehighrhmshtmltoolshtmlwidgetshttr2igraphisobandjosejquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMatrixmemoisemimeopensslpackratpillarpkgconfigPKIprettyunitsprogresspurrrR6rappdirsRBGLRColorBrewerRcppRcppTOMLRCurlreadrrenvrlangrmarkdownrsconnectrstudioapiRUnitS7sassscalessnowflakeauthstringistringrsystibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunXMLyaml

Introduction to genetic.algo.optimizeR

Rendered fromintro_to_genetic.algo.optimizeR.Rmdusingknitr::rmarkdownon Jun 04 2026.

Last update: 2024-10-07
Started: 2024-10-07

Optimization of a Quadratic Function Using Genetic Algorithms

Rendered fromoptimize_function_with_GA.Rmdusingknitr::rmarkdownon Jun 04 2026.

Last update: 2024-10-07
Started: 2024-10-07