Searching Parsimony Models with Genetic Algorithms R package GAparsimony version 0.9.5 Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations. Software Depends: R (>= 3.0), methods, foreach, iterators Imports: stats, graphics, grDevices, utils Suggests: parallel, doParallel, doRNG (>= 1.6), knitr (>= 1.8), lhs, MASS, caret, mlbench, e1071, nnet, kernlab F.J. Martinez-de-Pison <fjmartin@unirioja.es> Comprehensive R Archive Network (CRAN) F.J. Martinez-de-Pison <fjmartin@unirioja.es> GPL (>= 2) 2023-04-07 application/tgz https://CRAN.R-project.org/package=GAparsimony doi:10.32614/CRAN.package.GAparsimony