nsga2R: Elitist Non-dominated Sorting Genetic Algorithm based on R

This package provide functions for 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, nsga2R, to complete the search.

Version: 1.0
Depends: mco
Published: 2013-06-16
Author: Ching-Shih (Vince) Tsou
Maintainer: Ming-Chang (Alan) Lee <alan9956 at ydu.edu.tw>
License: LGPL-3
NeedsCompilation: no
CRAN checks: nsga2R results


Reference manual: nsga2R.pdf
Package source: nsga2R_1.0.tar.gz
Windows binaries: r-devel: nsga2R_1.0.zip, r-release: nsga2R_1.0.zip, r-oldrel: nsga2R_1.0.zip
OS X Snow Leopard binaries: r-release: nsga2R_1.0.tgz, r-oldrel: nsga2R_1.0.tgz
OS X Mavericks binaries: r-release: nsga2R_1.0.tgz