Jaya: Gradient-Free Optimization Algorithm for Single and Multi-Objective Problems

An implementation of the Jaya optimization algorithm for both single-objective and multi-objective problems. Jaya is a population-based, gradient-free optimization algorithm capable of solving constrained and unconstrained optimization problems without hyperparameters. This package includes features such as multi-objective Pareto optimization, adaptive population adjustment, and early stopping. For further details, see R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004>.

Version: 1.0.3
Depends: R (≥ 3.5.0)
Imports: parallel
Suggests: knitr, rmarkdown, evaluate, testthat
Published: 2024-11-18
DOI: 10.32614/CRAN.package.Jaya
Author: Neeraj Bokde ORCID iD [aut, cre]
Maintainer: Neeraj Bokde <neerajdhanraj at gmail.com>
BugReports: https://github.com/neerajdhanraj/Jaya/issues
License: MIT + file LICENSE
URL: https://github.com/neerajdhanraj/Jaya
NeedsCompilation: no
CRAN checks: Jaya results

Documentation:

Reference manual: Jaya.html , Jaya.pdf
Vignettes: Jaya_Usage (source, R code)

Downloads:

Package source: Jaya_1.0.3.tar.gz
Windows binaries: r-devel: Jaya_1.0.3.zip, r-release: Jaya_1.0.3.zip, r-oldrel: Jaya_1.0.3.zip
macOS binaries: r-release (arm64): Jaya_1.0.3.tgz, r-oldrel (arm64): Jaya_1.0.3.tgz, r-release (x86_64): Jaya_1.0.3.tgz, r-oldrel (x86_64): Jaya_1.0.3.tgz
Old sources: Jaya archive

Linking:

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