nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection

An adaptation of Non-dominated Sorting Genetic Algorithm III for multi objective feature selection tasks. Non-dominated Sorting Genetic Algorithm III is a genetic algorithm that solves multiple optimization problems simultaneously by applying a non-dominated sorting technique. It uses a reference points based selection operator to explore solution space and preserve diversity. See the original paper by K. Deb and H. Jain (2014) <DOI:10.1109/TEVC.2013.2281534> for a detailed description.

Package details

AuthorArtem Shramko
MaintainerArtem Shramko <[email protected]>
LicenseGPL-3
Version0.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("nsga3")

Try the nsga3 package in your browser

Any scripts or data that you put into this service are public.

nsga3 documentation built on Feb. 18, 2019, 5:05 p.m.