Other packages > Find by keyword >

GA  

Genetic Algorithms
View on CRAN: Click here


Download and install GA package within the R console
Install from CRAN:
install.packages("GA")

Install from Github:
library("remotes")
install_github("cran/GA")

Install by package version:
library("remotes")
install_version("GA", "3.2.4")



Attach the package and use:
library("GA")
Maintained by
Luca Scrucca
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-22
Latest Update: 2022-10-18
Description:
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) and Scrucca (2017) .
How to cite:
Luca Scrucca (2012). GA: Genetic Algorithms. R package version 3.2.4, https://cran.r-project.org/web/packages/GA
Previous versions and publish date:
1.0 (2012-06-22 12:37), 1.1 (2013-04-08 13:48), 2.0 (2013-08-20 15:23), 2.1 (2014-05-06 12:30), 2.2 (2014-10-15 13:20), 3.0.1 (2016-05-16 14:40), 3.0.2 (2016-06-07 13:54), 3.0 (2016-05-10 23:35), 3.1.1 (2018-05-11 15:13), 3.1 (2018-05-09 11:56), 3.2.1 (2021-04-21 08:00), 3.2.2 (2021-10-15 12:40), 3.2.3 (2022-10-19 01:38), 3.2 (2019-01-10 13:00)
Other packages that cited GA R package
View GA citation profile
Other R packages that GA depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns