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  • 标题:Continuous Global Optimization in R
  • 本地全文:下载
  • 作者:Katharine M. Mullen
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2014
  • 卷号:60
  • 期号:1
  • 页码:1-45
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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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