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OSCARS  

Global Bounded Optimization by the OSCARS-II Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OSCARS", "0.2.1")



Attach the package and use:
library("OSCARS")
Maintained by
Chris Price
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-06
Latest Update: 2026-05-06
Description:
A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, <doi:10.1007/s10898-020-00928-6>). The main function , 'oscars()', performs black-box optimization of a general (including nonsmooth or discontinuous) function subject to simple bounds on the unknowns. If all bounds are finite, oscars searches globally. The main method implements a stochastic direct search method and is derivative free. Testing shows the OSCARS-II algorithm usually finds extrema with fewer function evaluations than similar global derivative-free methods.
How to cite:
Chris Price (2026). OSCARS: Global Bounded Optimization by the OSCARS-II Algorithm. R package version 0.2.1, https://cran.r-project.org/web/packages/OSCARS. Accessed 25 Oct. 2026.
Previous versions and publish date:
0.1.2 (2026-05-06 21:50), (2026-09-22 08:00)
Other packages that cited OSCARS R package
View OSCARS citation profile
Other R packages that OSCARS depends, imports, suggests or enhances
Complete documentation for OSCARS
Functions, R codes and Examples using the OSCARS R package
Full OSCARS package functions and examples
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