kofnGA: A Genetic Algorithm for Fixed-Size Subset Selection

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

View on CRAN

Files in this package

kofnGA
kofnGA/inst
kofnGA/inst/CITATION
kofnGA/NAMESPACE
kofnGA/R
kofnGA/R/GAsearch_methods.R kofnGA/R/kofnGA.R
kofnGA/MD5
kofnGA/DESCRIPTION
kofnGA/man
kofnGA/man/kofnGA-package.Rd kofnGA/man/kofnGA.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.