Continuous Global Optimization in R
Katharine M. Mullen
Journal of Statistical Software · 2014
doi:10.18637/jss.v060.i06 (opens in a new tab)
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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.
Abstract licence: CC BY
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