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 [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:

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