R Version of GENetic Optimization Using Derivatives
A genetic algorithm plus derivative optimizer.
rgenoud: R-GENetic Optimization Using Derivatives (RGENOUD)
Walter R. Mebane, Jr. and Jasjeet S. Sekhon
Genoud is a function that combines evolutionary search algorithms with derivative-based (Newton or quasi-Newton) methods to solve difficult optimization problems. Genoud may also be used for optimization problems for which derivatives do not exist.
How to install
A version is on CRAN. The latest development version can be installed directly from Github using devtools.
if (!require("devtools")) install.packages("devtools") devtools::install_github("JasjeetSekhon/rgenoud")
The package contains compiled code, and you must have a development
environment to install the development version. (Use
devtools::has_devel() to check whether you do.) If no development
environment exists, Windows users download and install
Rtools and macOS
users download and install
Functions in rgenoud
|genoud||GENetic Optimization Using Derivatives|
Vignettes of rgenoud
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