李光辉, 李俊鹏, 张崇岐. 复杂约束域内混料最优设计的格点评价[J]. 应用概率统计, 2022, 38(2): 253-266. DOI: 10.3969/j.issn.1001-4268.2022.02.006
引用本文: 李光辉, 李俊鹏, 张崇岐. 复杂约束域内混料最优设计的格点评价[J]. 应用概率统计, 2022, 38(2): 253-266. DOI: 10.3969/j.issn.1001-4268.2022.02.006
LI Guanghui, LI Junpeng, ZHANG Chongqi. Lattice Evaluation of the Optimal Mixture Design in the Complex Constraint Region[J]. Chinese Journal of Applied Probability and Statistics, 2022, 38(2): 253-266. DOI: 10.3969/j.issn.1001-4268.2022.02.006
Citation: LI Guanghui, LI Junpeng, ZHANG Chongqi. Lattice Evaluation of the Optimal Mixture Design in the Complex Constraint Region[J]. Chinese Journal of Applied Probability and Statistics, 2022, 38(2): 253-266. DOI: 10.3969/j.issn.1001-4268.2022.02.006

复杂约束域内混料最优设计的格点评价

Lattice Evaluation of the Optimal Mixture Design in the Complex Constraint Region

  • 摘要: 在具有复杂约束的混料试验域内,要证明一个设计的最优性是困难的, 但要否定设计的最优性却相对容易.本文通过构造复杂约束域内的稠密格点,不仅可以用于评价一个设计的最优性, 还可以比较多个局部最优设计的优劣,并且稠密覆盖的格子点集作为备选点集可以产生约束区域上的局部最优设计.通过实例分析, 这种方法是有效的.

     

    Abstract: It is difficult to prove the optimality of a mixture design in the region with complex constraints, however, it is relatively easy to negate the optimality of the design. In this paper, we construct a set of dense lattice points in the experimental region with complex constraint. It can not only be used to evaluate the optimization of a design, but also to compare the advantages of multiple local optimal designs. As an alternative set of points, the densely covered set of lattice points can produce the local optimal design in the constrained region. This method is effective through case analysis.

     

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