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kofnGA: A Genetic Algorithm for Fixed-Size Subset Selection

Provides a function that uses a genetic algorithm to search for a subset of size k from the integers 1:n, such that a user-supplied objective function is minimized at that subset. The selection step is done by tournament selection based on ranks, and elitism may be used to retain a portion of the best solutions from one generation to the next. Population objective function values may optionally be evaluated in parallel.

Version:1.3
Imports:bigmemory
Published:2018-11-02
DOI:10.32614/CRAN.package.kofnGA
Author:Mark A. Wolters [aut, cre]
Maintainer:Mark A. Wolters <mark at mwolters.com>
License:GPL-2
NeedsCompilation:no
Citation:kofnGA citation info
In views:Optimization
CRAN checks:kofnGA results

Documentation:

Reference manual:kofnGA.html ,kofnGA.pdf

Downloads:

Package source: kofnGA_1.3.tar.gz
Windows binaries: r-devel:kofnGA_1.3.zip, r-release:kofnGA_1.3.zip, r-oldrel:kofnGA_1.3.zip
macOS binaries: r-release (arm64):kofnGA_1.3.tgz, r-oldrel (arm64):kofnGA_1.3.tgz, r-release (x86_64):kofnGA_1.3.tgz, r-oldrel (x86_64):kofnGA_1.3.tgz
Old sources: kofnGA archive

Reverse dependencies:

Reverse imports:secrdesign

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=kofnGAto link to this page.


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