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SBOAtools

0.1.1Package record

Secretary Bird Optimization for Continuous Optimization and Neural Network Training

0packages depend
1.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Provides an implementation of Secretary Bird Optimization for general-purpose continuous optimization, benchmark optimization, and training single-hidden-layer feed-forward neural network models. The implemented optimizer is based on the Secretary Bird Optimization Algorithm proposed by Fu et al. (2024) doi:10.1007/s10462-024-10729-y. The neural network training functionality is based on Dilber and Özdemir (2026) doi:10.1007/s00521-026-11874-x.

Changes in 0.1.1

New features

  • Added 23 built-in benchmark functions, named F1 to F23, for continuous optimization problems.
  • Added list_benchmarks() to display available benchmark functions and their metadata.
  • Added get_benchmark() to retrieve benchmark definitions, bounds, dimensions, categories, and labels.

Improvements

  • Updated sboa() so that built-in benchmark names, such as "F1", can be supplied directly as the objective function.
  • Added benchmark metadata, including labels, categories, lower and upper bounds, and fixed dimensions where applicable.
  • Improved usability for benchmark-based experiments by allowing users to access standard test functions without manually defining objective functions.

Compatibility

  • Preserved compatibility with user-defined objective functions.
  • Preserved compatibility with sboa_mlp().
  • Existing workflows based on sboa() and sboa_mlp() remain unchanged.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 57 s · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-06
  • NOTE3 OK, 2 NOTE2026-04-11
Advisories

none known

Documentation

In release 0.1.1
READMEYes · 566 wordsVignettesNoNEWSYes · 67% structured · mentions 0.1.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
22
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
9%

Downloads

1.9K
CRAN downloads in the past year
Rank #21,584 · ~5/day · ~157/mo
Daily download trend is not available in this view yet.
25430 days
61290 days
1.9K1 year
Compare downloads with other packages →
Also on50 r2u1 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
machine-learningmetaheuristicneural-networkoptimizationr-packagesecretary-bird-optimization
Last activity 2026-05-02
Responsiveness
not measured
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/burakdilber/sboatools on 2026-10-18.

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

Installing SBOAtools adds no packages beyond those that come with R.

Depends (0)
none
Imports (2)
statsgraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2026), Copyright holder
Author, Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • 0.1.1Latest
    record
    2026-05-03 · current release · diff ↗ ·
    added 2 exports
    get_benchmark, list_benchmarks
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0
    record
    2026-04-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-10
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Download size
13 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SBOAtools")
Dilber, B., & Özdemir, A. F. (2026). SBOAtools: Secretary Bird Optimization for Continuous Optimization and Neural Network Training (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.SBOAtools

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SBOAtools version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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