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nsga2R  

Elitist Non-Dominated Sorting Genetic Algorithm
View on CRAN: Click here


Download and install nsga2R package within the R console
Install from CRAN:
install.packages("nsga2R")

Install from Github:
library("remotes")
install_github("cran/nsga2R")

Install by package version:
library("remotes")
install_version("nsga2R", "1.1")



Attach the package and use:
library("nsga2R")
Maintained by
Ming-Chang (Alan) Lee
[Scholar Profile | Author Map]
First Published: 2013-06-16
Latest Update: 2022-05-23
Description:
Box-constrained multiobjective optimization using the elitist non-dominated sorting genetic algorithm - NSGA-II. Fast non-dominated sorting, crowding distance, tournament selection, simulated binary crossover, and polynomial mutation are called in the main program. The methods are described in Deb et al. (2002) .
How to cite:
Ming-Chang (Alan) Lee (2013). nsga2R: Elitist Non-Dominated Sorting Genetic Algorithm. R package version 1.1, https://cran.r-project.org/web/packages/nsga2R. Accessed 04 Apr. 2025.
Previous versions and publish date:
1.0 (2013-06-16 18:26)
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View nsga2R citation profile
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Complete documentation for nsga2R
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