Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions

Ray Bing Chen, Chi Hao Li, Ying Hung, Weichung Wang

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)


Space-filling and noncollapsing are two important properties in designing computer experiments. We study how the noncollapsing, space-filling designs for irregular experimental regions can be generated efficiently by the proposed metaheuristic methods. We solve this optimal design problem using variants of the discrete particle swarm optimization (DPSO) approaches. Numerical results, including an application in data center thermal management, are used to illustrate the performances of the proposed algorithms. Based on these numerical results, we assert that the most efficient approach is to reformulate the target optimal design problem as a constrained optimization problem and then use a modified DPSO to solve the constrained optimization problem.

頁(從 - 到)74-91
期刊Journal of Computational and Graphical Statistics
出版狀態Published - 2019 一月 2

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 離散數學和組合
  • 統計、概率和不確定性


深入研究「Optimal Noncollapsing Space-Filling Designs for Irregular Experimental Regions」主題。共同形成了獨特的指紋。