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) .


Reference manual

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0.1.9 by Neeraj Bokde, a year ago

Browse source code at https://github.com/cran/Jaya

Authors: Mayur Shende [aut] , Neeraj Bokde [aut, cre]

Documentation:   PDF Manual  

Task views: Optimization and Mathematical Programming

GPL (>= 2) license

Imports GA

Suggests knitr, rmarkdown, evaluate, testthat

See at CRAN