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genetic.algo.optimizeR  

Genetic Algorithm Optimization
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]
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 18 Feb. 2025.
Previous versions and publish date:
0.2.5 (2024-02-14 22:30), 0.2.6 (2024-02-15 13:00), 0.3.2 (2024-10-10 18:20)
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Complete documentation for genetic.algo.optimizeR
Functions, R codes and Examples using the genetic.algo.optimizeR R package
Full genetic.algo.optimizeR package functions and examples
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