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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.
Getting started
Browse package contents
Package details |
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| Author | Dany Mukesha [aut, cre] (<https://orcid.org/0009-0001-9514-751X>) |
| Bioconductor views | ExperimentalDesign Technology |
| Maintainer | Dany Mukesha <danymukesha@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.3.2 |
| URL | https://danymukesha.github.io/genetic.algo.optimizeR/ https://github.com/danymukesha/genetic.algo.optimizeR |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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