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nsga3  

An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection
View on CRAN: Click here


Download and install nsga3 package within the R console
Install from CRAN:
install.packages("nsga3")

Install from Github:
library("remotes")
install_github("cran/nsga3")

Install by package version:
library("remotes")
install_version("nsga3", "0.0.3")



Attach the package and use:
library("nsga3")
Maintained by
Artem Shramko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-18
Latest Update: 2019-02-18
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.
How to cite:
Artem Shramko (2019). nsga3: An Implementation of Non-Dominated Sorting Genetic Algorithm III for Feature Selection. R package version 0.0.3, https://cran.r-project.org/web/packages/nsga3. Accessed 19 Apr. 2025.
Previous versions and publish date:
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View nsga3 citation profile
Other R packages that nsga3 depends, imports, suggests or enhances
Complete documentation for nsga3
Functions, R codes and Examples using the nsga3 R package
Some associated functions: german_credit . nsga3-package . nsga3fs . 
Some associated R codes: algorithm.R . data.R . nsga3.R .  Full nsga3 package functions and examples
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