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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SBOAtools" in publications use:'
type: software
license: MIT
title: 'SBOAtools: Secretary Bird Optimization for Continuous Optimization and Neural
  Network Training'
version: 0.1.1
doi: 10.32614/CRAN.package.SBOAtools
abstract: 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) <https://doi.org/10.1007/s10462-024-10729-y>.
  The neural network training functionality is based on Dilber and Özdemir (2026)
  <https://doi.org/10.1007/s00521-026-11874-x>.
authors:
- family-names: Dilber
  given-names: Burak
  email: burakdilber91@gmail.com
- family-names: Özdemir
  given-names: A. Fırat
  email: firat.ozdemir5761@gmail.com
repository: https://burakdilber.r-universe.dev
repository-code: https://github.com/burakdilber/SBOAtools
commit: 9ce4adba096536f46a27972484e48bf0ca8e439c
url: https://github.com/burakdilber/SBOAtools
date-released: '2026-05-02'
contact:
- family-names: Dilber
  given-names: Burak
  email: burakdilber91@gmail.com