rgenoud v5.8-3.0

0

Monthly downloads

0th

Percentile

R Version of GENetic Optimization Using Derivatives

A genetic algorithm plus derivative optimizer.

Readme

rgenoud: R-GENetic Optimization Using Derivatives (RGENOUD)

Walter R. Mebane, Jr. and Jasjeet S. Sekhon

Introduction

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 Xcode.

Functions in rgenoud

Name Description
genoud GENetic Optimization Using Derivatives
No Results!

Vignettes of rgenoud

Name
Figures/fig1.pdf
Figures/lqdxmpl2B.pdf
rgenoud.Rnw
rgenoud.bib
No Results!

Last month downloads

Details

Date 2019-01-22
License GPL-3
URL http://sekhon.berkeley.edu/rgenoud/
NeedsCompilation yes
Packaged 2019-01-23 03:33:15 UTC; sekhon
Repository CRAN
Date/Publication 2019-01-24 22:40:02 UTC

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/rgenoud)](http://www.rdocumentation.org/packages/rgenoud)