# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "OSCARS" in publications use:' type: software license: Apache-2.0 title: 'OSCARS: Global Bounded Optimization by the OSCARS-II Algorithm' version: 0.1.2 doi: 10.32614/CRAN.package.OSCARS abstract: A collection of general optimization routines based on variants of the One Side Cut Accelerated Random Search (OSCARS-II) algorithm (Price et al., 2020, ). 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 in fewer function evaluations than similar global derivative-free methods. authors: - family-names: Price given-names: Chris email: chrisj.price@canterbury.ac.nz - family-names: McDonald given-names: Trent email: trent@mcdonalddatasciences.com repository: https://oscarsglobal.r-universe.dev commit: c11b0e485531ccf5de38036c6b19069bf62215c2 date-released: '2026-06-05' contact: - family-names: Price given-names: Chris email: chrisj.price@canterbury.ac.nz