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nsga3 (version 0.0.3)

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

Description

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) for a detailed description.

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Version

Install

install.packages('nsga3')

Monthly Downloads

171

Version

0.0.3

License

GPL-3

Maintainer

Artem Shramko

Last Published

February 18th, 2019

Functions in nsga3 (0.0.3)

german_credit

The UCI "German Credit Data" Dataset
nsga3-package

NSGA III for Multi Objective Feature Selection
nsga3fs

NSGA III for Multi-Objective Feature Selection