Secretary Bird Optimization for Continuous Optimization and Neural Network Training
Overview
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.
New features
- Added 23 built-in benchmark functions, named
F1toF23, 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()andsboa_mlp()remain unchanged.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-05-06
- NOTE3 OK, 2 NOTE2026-04-11
Documentation
- 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
Repository
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.
Dependencies
Installing SBOAtools adds no packages beyond those that come with R.
Code & Tests
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- 0.1.1Latest
- RR 4.6.0 released · 2026-04-24
- 0.1.02026-04-10
- RR 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
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