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SBOAtools: Secretary Bird Optimization for Continuous Optimization and Neural Network Training
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>.
Getting started
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Package details |
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| Author | Burak Dilber [aut, cre, cph], A. Fırat Özdemir [aut, cph] |
| Maintainer | Burak Dilber <burakdilber91@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://github.com/burakdilber/SBOAtools |
| Package repository | View on CRAN |
| Installation |
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