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) .


Reference manual

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install.packages("Jaya")

1.0.3 by Neeraj Bokde, 2 years ago


https://github.com/neerajdhanraj/Jaya


Report a bug at https://github.com/neerajdhanraj/Jaya/issues


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


Authors: Neeraj Bokde [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports parallel

Suggests knitr, rmarkdown, evaluate, testthat


See at CRAN