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adana

1.1.0

Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization

0packages depend
3.7Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Erkut TekeliFirst published 2022-02-231 releasesCRAN page ↗

The Genetic Algorithm (GA) is a type of optimization method of Evolutionary Algorithms. It uses the biologically inspired operators such as mutation, crossover, selection and replacement.Because of their global search and robustness abilities, GAs have been widely utilized in machine learning, expert systems, data science, engineering, life sciences and many other areas of research and business. However, the regular GAs need the techniques to improve their efficiency in computing time and performance in finding global optimum using some adaptation and hybridization strategies. The adaptive GAs (AGA) increase the convergence speed and success of regular GAs by setting the parameters crossover and mutation probabilities dynamically. The hybrid GAs combine the exploration strength of a stochastic GAs with the exact convergence ability of any type of deterministic local search algorithms such as simulated-annealing, in addition to other nature-inspired algorithms such as ant colony optimization, particle swarm optimization etc. The package 'adana' includes a rich working environment with its many functions that make possible to build and work regular GA, adaptive GA, hybrid GA and hybrid adaptive GA for any kind of optimization problems. Cebeci, Z. (2021, ISBN: 9786254397448).

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Health

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13NOTE
Failing flavors
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Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
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Coverage
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
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Return-value docs
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References docs
47%

Downloads

3.7K
CRAN downloads in the past year
Rank #11,870 · ~10/day · ~308/mo
Daily download trend is not available in this view yet.
22030 days
83790 days
3.7K1 year
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Also on110 r2u21 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
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Code & Tests

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Listed in earlier versions (3)
no longer listed · 1.1.0
no longer listed · 1.1.0
no longer listed · 1.1.0
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-02-23
Total releases
1 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Download size
76 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

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Run in R for the authors' preferred citation:

citation("adana")

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APA

Balamuta, J. J. (2026). R Observatory: Metrics for adana version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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