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Jaya (version 0.1.9)

Jaya, a Gradient-Free Optimization Algorithm

Description

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) .

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Version

Install

install.packages('Jaya')

Monthly Downloads

570

Version

0.1.9

License

GPL (>= 2)

Maintainer

Neeraj Bokde

Last Published

November 12th, 2019

Functions in Jaya (0.1.9)

summary.jaya

Function to summarize the Jaya function
jaya

Jaya Algorithm, a gradient-free optimization algorithm. Maximization of a 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. Does not contain any hyperparameters.
plot.jaya

#' Function to plot the 'best value' VS 'no. of iterations'