genetic.algo.optimizeR
0.3.3Genetic Algorithm Optimization
Overview
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.
Install
Health
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- NOTE2026-06-091 OK · 12 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-081 OK · 11 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-104 OK · 10 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Repository practices
9 development-tooling and community-health practices detected across 7 families in the upstream repository
Checks run against github.com/danymukesha/genetic.algo.optimizer on 2026-08-02.
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Dependencies
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Code & Tests
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.3.3Latest
- 0.3.22024-10-10 · diff ↗
- unarchivedReturned to CRAN2024-10-10
- archivedRemoved from CRAN2024-05-03issues were not corrected in time Intermittent test failures
- RR 4.4.0 released · 2024-04-24
- 0.2.62024-02-15 · diff ↗
- 0.2.52024-02-14
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-02-14
- Total releases
- 4 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 667 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet