Continuous Global Optimization in R

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Authors Katharine M. Mullen
Journal/Conference Name JOURNAL OF STATISTICAL SOFTWARE
Paper Category
Paper 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' R implementations in terms of the quality of the solutions found and speed.
Date of publication 2014
Code Programming Language R
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