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-4.5)genetic.algo.optimizeR_0.3.2.zip(r-4.4)genetic.algo.optimizeR_0.3.2.zip(r-4.3)
genetic.algo.optimizeR_0.3.2.tgz(r-4.4-any)genetic.algo.optimizeR_0.3.2.tgz(r-4.3-any)
genetic.algo.optimizeR_0.3.2.tar.gz(r-4.5-noble)genetic.algo.optimizeR_0.3.2.tar.gz(r-4.4-noble)
genetic.algo.optimizeR_0.3.2.tgz(r-4.4-emscripten)genetic.algo.optimizeR_0.3.2.tgz(r-4.3-emscripten)
genetic.algo.optimizeR.pdf |genetic.algo.optimizeR.html
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'))

Peer review:

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

On CRAN:

experimentaldesigntechnology

5.34 score 10 scripts 5.5k downloads 6 exports 91 dependencies

Last updated 2 months agofrom:1a2a1a1899. Checks:OK: 5 ERROR: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macERRORNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macERRORNov 10 2024

Exports:crossoverevaluate_fitnessinitialize_populationmutationreplacementselection

Dependencies:askpassbase64encBHBiobaseBiocGenericsBiocManagerbiocViewsbitbit64bitopsbslibcachemclicliprcolorspacecpp11crayoncurlDiagrammeRdigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegraphgtablehighrhmshtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpackratpillarpkgconfigPKIprettyunitsprogresspurrrR6rappdirsRBGLRColorBrewerRCurlreadrrenvrlangrmarkdownrsconnectrstudioapiRUnitsassscalesstringistringrsystibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevisNetworkvroomwithrxfunXMLyaml

Introduction to genetic.algo.optimizeR

Rendered fromintro_to_genetic.algo.optimizeR.Rmdusingknitr::rmarkdownon Nov 10 2024.

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

Optimization of a Quadratic Function Using Genetic Algorithms

Rendered fromoptimize_function_with_GA.Rmdusingknitr::rmarkdownon Nov 10 2024.

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