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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.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 form https://CRAN.R-project.org/package=kofnGA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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