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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 |
| Reference manual: | kofnGA.pdf |
| 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 imports: | secrdesign |
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