kofnGA: A Genetic Algorithm for Fixed-Size Subset Selection
Version 1.2

Function kofnGA uses a genetic algorithm to choose a subset of a fixed 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.

AuthorMark A. Wolters
Date of publication2015-11-24 15:04:02
MaintainerMark A. Wolters <mark@mwolters.com>
LicenseGPL-2
Version1.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("kofnGA")

Getting started

Package overview

Popular man pages

kofnGA: Select the best subset of size k from n alternatives
kofnGA-package: A genetic algorithm for selection of fixed-size subsets
See all...

All man pages Function index File listing

Man pages

kofnGA: Select the best subset of size k from n alternatives
kofnGA-package: A genetic algorithm for selection of fixed-size subsets

Functions

kofnGA Man page Source code
kofnGA-package Man page
plot.GAsearch Man page Source code
print.GAsearch Man page Source code
print.summary.GAsearch Man page Source code
summary.GAsearch Man page Source code

Files

inst
inst/CITATION
NAMESPACE
R
R/GAsearch_methods.R
R/kofnGA.R
MD5
DESCRIPTION
man
man/kofnGA-package.Rd
man/kofnGA.Rd
kofnGA documentation built on May 19, 2017, 10:25 a.m.

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