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文章基本信息

  • 标题:A Two-Phase Global Optimization Algorithm for Black-Box Functions
  • 本地全文:下载
  • 作者:Gražina Gimbutiene ; Antanas Žilinskas
  • 期刊名称:Baltic Journal of Modern Computing
  • 印刷版ISSN:2255-8942
  • 电子版ISSN:2255-8950
  • 出版年度:2015
  • 卷号:3
  • 期号:3
  • 页码:214-224
  • 出版社:Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia
  • 摘要:A modification of the global optimization algorithm, rooted in the statistical theory of global optimization, is proposed. The original method is based on the hyper-rectangular partition of the feasible region where a hyper-rectangle for subdivision is selected using a criterion related to the probability of improvement. The idea of the modification is in the coordination of local and global phases of search. The testing results show that the proposed modification improves the performance of the original algorithm.
  • 关键词:global optimization; statistical models; two-phase algorithm
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