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Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Continuous Global Optimization in R | Mullen | Journal of Statistical Software
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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DOI: 10.18637/jss.v060.i06

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Paper: Creative Commons Attribution 3.0 Unported License
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