Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Katharine M. Mullen
Title: Continuous Global Optimization in R
Abstract: This article surveys currently available implementations in R for continuous global optimization problems. A new R package globalOptTests is presented that provides a set of standard test problems for continuous global optimization based on C functions by Ali, Khompatraporn, and Zabinsky (2005). 48 of the objective functions contained in the package are used in empirical comparison of 18 R implementations in terms of the quality of the solutions found and speed.

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Paper: Continuous Global Optimization in R     Download PDF (Downloads: 12729)
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globalOptTests_1.1.tar.gz: R source package Download (Downloads: 359; 9KB)
v60i06-replication.zip: Replication materials Download (Downloads: 382; 498KB)
DOI: 10.18637/jss.v060.i06

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.