Jaya: Jaya, a Gradient-Free Optimization Algorithm

Maximization or Minimization of a fitness function using Jaya Algorithm (JA). A population based method which repeatedly modifies a population of individual solutions. Capable of solving both constrained and unconstrained optimization problems. It does not contain any hyperparameters. For further details: R.V. Rao (2016) <doi:10.5267/j.ijiec.2015.8.004> .

Version: 0.1.9
Imports: GA
Suggests: knitr, rmarkdown, evaluate, testthat
Published: 2019-11-12
DOI: 10.32614/CRAN.package.Jaya
Author: Mayur Shende [aut], Neeraj Bokde ORCID iD [aut, cre]
Maintainer: Neeraj Bokde <neerajdhanraj at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: Jaya results


Reference manual: Jaya.pdf
Vignettes: A_guide_to_JA


Package source: Jaya_0.1.9.tar.gz
Windows binaries: r-devel: Jaya_0.1.9.zip, r-release: Jaya_0.1.9.zip, r-oldrel: Jaya_0.1.9.zip
macOS binaries: r-release (arm64): Jaya_0.1.9.tgz, r-oldrel (arm64): Jaya_0.1.9.tgz, r-release (x86_64): Jaya_0.1.9.tgz, r-oldrel (x86_64): Jaya_0.1.9.tgz


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