Journal of System Simulation ›› 2024, Vol. 36 ›› Issue (3): 735-742.doi: 10.16182/j.issn1004731x.joss.22-1309
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Liu Fei1(), Lai Peng2, Lu Yingbo2, Wang Min2, Lu Zhifeng2
Received:
2022-11-03
Revised:
2023-01-12
Online:
2024-03-15
Published:
2024-03-14
CLC Number:
Liu Fei, Lai Peng, Lu Yingbo, Wang Min, Lu Zhifeng. Research on Hybrid Experimental Scheme Design for Combat Simulation[J]. Journal of System Simulation, 2024, 36(3): 735-742.
Table 1
Comparison of hybrid experimental design methods
方法 | 优点 | 缺点 |
---|---|---|
基于多种实验设计方法的混合分组因子抽样实验 | 分组灵活,可将因子分为任意离散和连续子集,每个子集采用任何一种实验设计方法 | 产生实验方案数目过多,需要运行大量仿真实验;样本空间原则上不满足整体均匀性 |
基于分片拉丁超立方设计的混合因子抽样实验 | 为每种离散类型因子的水平组合设计一个不同的拉丁超立方分片;充分考虑每个分片和整体的空间填充均匀性 | 只能处理较少的离散类型因子;分片数大时实验次数过多,产生实验方案数目过多 |
基于最大投影实验设计的混合因子抽样实验 | 可产生较少的实验方案数目;能处理更多的离散类型因子;设计结果有良好的整体均匀性和二维投影均匀性 | 方法本身较复杂,但通过封装在工具中,可以克服 |
Table 3
Results of mixed grouping factor sampling based on multiple experimental design methods
序号 | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 |
---|---|---|---|---|---|---|---|---|
1 | 1 | 4 | 0.82 | 7.63 | 1.03 | 19 243.90 | 2.95 | 1.18 |
2 | 1 | 4 | 0.71 | 3.16 | 3.20 | 23 245.30 | 3.29 | 0.95 |
3 | 1 | 4 | 0.80 | 1.07 | 2.06 | 9 980.30 | 1.68 | 1.68 |
4 | 1 | 4 | 0.90 | 4.99 | 3.72 | 13 361.40 | 2.40 | 0.36 |
5 | 2 | 4 | 0.85 | 6.43 | 2.59 | 21 724.10 | 1.36 | 1.28 |
6 | 2 | 4 | 0.79 | 4.18 | 2.27 | 12 964.40 | 3.75 | 1.88 |
7 | 2 | 4 | 0.75 | 4.77 | 3.27 | 6 653.18 | 2.01 | 0.56 |
8 | 2 | 4 | 0.85 | 2.33 | 1.25 | 18 859.50 | 2.81 | 0.24 |
9 | 1 | 8 | 0.77 | 6.98 | 3.99 | 15 934.30 | 2.51 | 1.60 |
10 | 1 | 8 | 0.80 | 1.88 | 2.95 | 11 445.40 | 3.91 | 0.48 |
11 | 1 | 8 | 0.73 | 3.77 | 1.88 | 20 513.20 | 1.38 | 0.70 |
12 | 1 | 8 | 0.89 | 5.54 | 1.62 | 7 220.82 | 2.15 | 1.06 |
13 | 2 | 8 | 0.84 | 1.68 | 3.62 | 14 975.50 | 1.00 | 0.85 |
14 | 2 | 8 | 0.72 | 5.95 | 1.40 | 8 472.10 | 1.90 | 1.50 |
15 | 2 | 8 | 0.75 | 7.34 | 2.70 | 16 781.10 | 3.23 | 0.18 |
16 | 2 | 8 | 0.87 | 3.26 | 2.38 | 24 000.90 | 3.58 | 1.41 |
Table 4
Results of mixed factor sampling based on sliced Latin hypercube design
序号 | X1 | X2 | X3 | X4 | X5 | X6 | X7 | X8 |
---|---|---|---|---|---|---|---|---|
1 | 1 | 4 | 0.81 | 4.29 | 3.78 | 9 735.99 | 1.22 | 1.49 |
2 | 1 | 4 | 0.80 | 1.96 | 2.83 | 24 577.30 | 3.91 | 1.00 |
3 | 1 | 4 | 0.71 | 5.31 | 1.25 | 11 319.60 | 2.98 | 1.29 |
4 | 1 | 4 | 0.88 | 6.67 | 1.91 | 17 812.00 | 2.29 | 0.29 |
5 | 2 | 4 | 0.77 | 6.09 | 3.32 | 9 283.48 | 1.59 | 0.20 |
6 | 2 | 4 | 0.83 | 6.73 | 2.48 | 22 826.20 | 2.08 | 1.58 |
7 | 2 | 4 | 0.71 | 1.00 | 3.10 | 16 319.30 | 2.63 | 1.39 |
8 | 2 | 4 | 0.89 | 3.28 | 1.68 | 12 413.50 | 3.70 | 0.82 |
9 | 1 | 8 | 0.74 | 7.37 | 2.91 | 21 340.30 | 3.17 | 0.61 |
10 | 1 | 8 | 0.85 | 3.67 | 3.46 | 13 680.00 | 3.45 | 1.71 |
11 | 1 | 8 | 0.78 | 1.76 | 2.06 | 19 881.10 | 1.51 | 0.46 |
12 | 1 | 8 | 0.84 | 5.54 | 1.48 | 7 050.16 | 1.82 | 1.12 |
13 | 2 | 8 | 0.86 | 4.57 | 3.91 | 21 564.20 | 2.44 | 0.75 |
14 | 2 | 8 | 0.81 | 3.15 | 1.18 | 18 788.40 | 2.74 | 1.88 |
15 | 2 | 8 | 0.73 | 7.82 | 2.24 | 14 725.40 | 1.15 | 1.05 |
16 | 2 | 8 | 0.76 | 2.42 | 2.66 | 7 396.35 | 3.30 | 0.37 |
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