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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
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

Documentation:

Reference manual: Jaya.pdf
Vignettes: A_guide_to_JA

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Jaya to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.