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 [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.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

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