Package: SBOAtools
Type: Package
Title: Secretary Bird Optimization for Continuous Optimization and
        Neural Network Training
Version: 0.1.1
Authors@R: c(
    person("Burak", "Dilber", email = "burakdilber91@gmail.com", role = c("aut", "cre", "cph")),
    person("A. Fırat", "Özdemir", email = "firat.ozdemir5761@gmail.com", role = c("aut", "cph"))
    )
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/burakdilber/SBOAtools
BugReports: https://github.com/burakdilber/SBOAtools/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: stats, graphics
Repository: https://burakdilber.r-universe.dev
Date/Publication: 2026-05-02 15:10:12 UTC
RemoteUrl: https://github.com/burakdilber/sboatools
RemoteRef: HEAD
RemoteSha: 9ce4adba096536f46a27972484e48bf0ca8e439c
NeedsCompilation: no
Packaged: 2026-09-23 08:13:32 UTC; root
Author: Burak Dilber [aut, cre, cph],
  A. Fırat Özdemir [aut, cph]
Maintainer: Burak Dilber <burakdilber91@gmail.com>