CRAN/E | genetic.algo.optimizeR

genetic.algo.optimizeR

Genetic Algorithm Optimization

Installation

About

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 combinatorial problems.

danymukesha.github.io/genetic.algo.optimizeR/
github.com/danymukesha/genetic.algo.optimizeR
Bug report File report

Key Metrics

Version 0.2.6
Published 2024-02-15 207 days ago
Needs compilation? no
License MIT
License File
CRAN checks genetic.algo.optimizeR results
Language en-US

Downloads

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Maintainer

Maintainer

Dany Mukesha

Authors

Dany Mukesha

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Explaining Graph
Introduction
Theory

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrelnot available

x86_64

Old Sources

genetic.algo.optimizeR archive

Imports

dplyr
ggplot2
magrittr
rsconnect
stats
stringr
tinytex
biocViews

Suggests

BiocStyle
knitr
learnr
rmarkdown
spelling
testthat ≥3.0.0