GA: Genetic Algorithms

An R package for optimisation using genetic algorithms. The package provides a flexible general-purpose set of tools for implementing genetic algorithms search in both the continuous and discrete case, whether constrained or not. Users can easily define their own objective function depending on the problem at hand. 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.

AuthorLuca Scrucca [aut, cre]
Date of publication2016-06-07 13:54:06
MaintainerLuca Scrucca <luca.scrucca@unipg.it>
LicenseGPL (>= 2)
Version3.0.2
https://github.com/luca-scr/GA

View on CRAN

Functions

binary2decimal Man page
binary2gray Man page
bl2gr.colors Man page
clearConsoleLine Man page
decimal2binary Man page
ga Man page
GA Man page
gabin_lrSelection Man page
gabin_nlrSelection Man page
gabin_Population Man page
gabin_raMutation Man page
gabin_rwSelection Man page
gabin_spCrossover Man page
gabin_tourSelection Man page
gabin_uCrossover Man page
ga-class Man page
gaControl Man page
ga_Crossover Man page
gaisl Man page
gaisl-class Man page
gaislMonitor Man page
gaislMonitor2 Man page
ga_lrSelection Man page
gaMonitor Man page
gaMonitor2 Man page
ga_Mutation Man page
ga_nlrSelection Man page
ga-package Man page
GA-package Man page
gaperm_cxCrossover Man page
gaperm_dmMutation Man page
gaperm_ismMutation Man page
gaperm_lrSelection Man page
gaperm_nlrSelection Man page
gaperm_oxCrossover Man page
gaperm_pbxCrossover Man page
gaperm_pmxCrossover Man page
gaperm_Population Man page
gaperm_rwSelection Man page
gaperm_scrMutation Man page
gaperm_simMutation Man page
gaperm_swMutation Man page
gaperm_tourSelection Man page
ga_pmutation Man page
ga_Population Man page
gareal_blxCrossover Man page
gareal_laCrossover Man page
gareal_laplaceCrossover Man page
gareal_lrSelection Man page
gareal_lsSelection Man page
gareal_nlrSelection Man page
gareal_nraMutation Man page
gareal_Population Man page
gareal_powMutation Man page
gareal_raMutation Man page
gareal_rsMutation Man page
gareal_rwSelection Man page
gareal_sigmaSelection Man page
gareal_spCrossover Man page
gareal_tourSelection Man page
gareal_waCrossover Man page
garun Man page
ga_rwSelection Man page
ga_Selection Man page
ga_spCrossover Man page
gaSummary Man page
ga_tourSelection Man page
gray2binary Man page
is.RStudio Man page
jet.colors Man page
numericOrNA-class Man page
optimProbsel Man page
parNames Man page
parNames,ga-method Man page
persp3D Man page
plot.ga Man page
plot.gaisl Man page
plot,gaisl-method Man page
plot,ga-method Man page
print,gaisl-method Man page
print,ga-method Man page
.printShortMatrix Man page
print.summary.ga Man page
print.summary.gaisl Man page
reflectSolution Man page
repairSolution Man page
show,gaisl-method Man page
show,ga-method Man page
spectral.colors Man page
startParallel Man page
summary.ga Man page
summary.ga-class Man page
summary.gaisl Man page
summary,gaisl-method Man page
summary,ga-method Man page

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

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