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Flexible general-purpose toolbox implementing genetic algorithms (GAs) for stochastic optimisation. Binary, real-valued, and permutation representations are available to optimize a fitness function, i.e. a function provided by users depending on their objective function. Several genetic operators are available and can be combined to explore the best settings for the current task. Furthermore, users can define new genetic operators and easily evaluate their performances. Local search using general-purpose optimisation algorithms can be applied stochastically to exploit interesting regions. GAs can be run sequentially or in parallel, using an explicit master-slave parallelisation or a coarse-grain islands approach. For more details see Scrucca (2013) <doi:10.18637/jss.v053.i04> and Scrucca (2017) <doi:10.32614/RJ-2017-008>.
Version: | 3.2.4 |
Depends: | R (≥ 3.4), methods, foreach, iterators |
Imports: | stats, graphics, grDevices, utils, cli, crayon, Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | parallel, doParallel, doRNG (≥ 1.6), knitr (≥ 1.8), rmarkdown (≥ 2.0) |
Published: | 2024-01-28 |
DOI: | 10.32614/CRAN.package.GA |
Author: | Luca Scrucca [aut, cre] |
Maintainer: | Luca Scrucca <luca.scrucca at unipg.it> |
BugReports: | https://github.com/luca-scr/GA/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://luca-scr.github.io/GA/ |
NeedsCompilation: | yes |
Citation: | GA citation info |
Materials: | README NEWS |
In views: | Optimization |
CRAN checks: | GA results |
Reference manual: | GA.pdf |
Vignettes: |
A quick tour of GA |
Package source: | GA_3.2.4.tar.gz |
Windows binaries: | r-devel: GA_3.2.4.zip, r-release: GA_3.2.4.zip, r-oldrel: GA_3.2.4.zip |
macOS binaries: | r-release (arm64): GA_3.2.4.tgz, r-oldrel (arm64): GA_3.2.4.tgz, r-release (x86_64): GA_3.2.4.tgz, r-oldrel (x86_64): GA_3.2.4.tgz |
Old sources: | GA archive |
Reverse depends: | EstimationTools, foreSIGHT, gawdis, mcga, recmap, SPIGA |
Reverse imports: | BG2, calmr, ConsReg, datafsm, DistributionOptimization, eicm, epinetr, EZtune, fungible, GAGBLUP, graposas, gratis, gripp, GWAS.BAYES, hmsr, kernhaz, LCAvarsel, LorenzRegression, MaxMC, MSTest, ppgmmga, psychonetrics, RMaCzek, rmoo, tidychangepoint, triggerstrategy, TropFishR, UBayFS |
Reverse suggests: | hpa, IDSL.UFA, ldsr, MSCMT, netUtils, PopED, regsem, seriation, TaxicabCA, tdsc, ubiquity |
Please use the canonical form https://CRAN.R-project.org/package=GA 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.