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:

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