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genetic.algo.optimizeR
View on CRAN: Click
here
Download and install genetic.algo.optimizeR package within the R console
Install from CRAN:
install.packages("genetic.algo.optimizeR")
Install from Github:
library("remotes")
install_github("cran/genetic.algo.optimizeR")
Install by package version:
library("remotes")
install_version("genetic.algo.optimizeR", "0.3.3")
Attach the package and use:
library("genetic.algo.optimizeR")
Maintained by
Dany Mukesha
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.genetic.algo.optimizeR . https://github.com/danymukesha/genetic.algo.optimizeR/issues . https://danymukesha.github.io/genetic.algo.optimizeR/ . https://github.com/danymukesha/genetic.algo.optimizeR . genetic.algo.optimizeR results . genetic.algo.optimizeR.pdf . Introduction to genetic.algo.optimizeR . genetic.algo.optimizeR_0.3.3.tar.gz . genetic.algo.optimizeR_0.3.3.zip . genetic.algo.optimizeR_0.3.3.zip . genetic.algo.optimizeR_0.3.3.zip . genetic.algo.optimizeR_0.3.3.tgz . genetic.algo.optimizeR_0.3.3.tgz . genetic.algo.optimizeR_0.3.3.tgz . genetic.algo.optimizeR_0.3.3.tgz . genetic.algo.optimizeR_0.3.3.tgz . genetic.algo.optimizeR archive . https://CRAN.R-project.org/package=genetic.algo.optimizeR .
First Published: 2024-02-14
Latest Update: 2024-02-15
Description:
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.
How to cite:
Dany Mukesha (2024). genetic.algo.optimizeR: Genetic Algorithm Optimization. R package version 0.3.3, https://cran.r-project.org/web/packages/genetic.algo.optimizeR. Accessed 01 Apr. 2025.
Previous versions and publish date:
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