Discrete particle swarm optimization for constructing uniform design on irregular regions

Ray Bing Chen, Yen Wen Hsu, Ying Hung, Weichung Wang

研究成果: Article同行評審

15 引文 斯高帕斯(Scopus)

摘要

Central composite discrepancy (CCD) has been proposed to measure the uniformity of a design over irregular experimental region. However, how CCD-based optimal uniform designs can be efficiently computed remains a challenge. Focusing on this issues, we proposed a particle swarm optimization-based algorithm to efficiently find optimal uniform designs with respect to the CCD criterion. Parallel computation techniques based on state-of-the-art graphic processing unit (GPU) are employed to accelerate the computations. Several two- to five-dimensional benchmark problems are used to illustrate the advantages of the proposed algorithms. By solving a real application in data center thermal management, we further demonstrate that the proposed algorithm can be extended to incorporate desirable space-filling properties, such as the non-collapsing property.

原文English
頁(從 - 到)282-297
頁數16
期刊Computational Statistics and Data Analysis
72
DOIs
出版狀態Published - 2014 四月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 計算數學
  • 計算機理論與數學
  • 應用數學

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