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lhs= LHSExperiment(distribution=class=JointDistribution name=JointDistribution dimension=3 copula=class=IndependentCopula name=IndependentCopula dimension=3 marginal[0]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[1]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[2]=class=Uniform name=Uniform dimension=1 a=0 b=1, size25, always shuffle=true, random shift=false
Bounds of uniform distributions= [0, 1]
[0, 1]
[0, 1]
design= [ X0 X1 X2 ]
0 : [ 0.18 0.86 0.26 ]
1 : [ 0.66 0.22 0.62 ]
2 : [ 0.98 0.34 0.86 ]
3 : [ 0.7 0.26 0.74 ]
4 : [ 0.94 0.54 0.54 ]
5 : [ 0.22 0.66 0.5 ]
6 : [ 0.86 0.9 0.1 ]
7 : [ 0.74 0.1 0.38 ]
8 : [ 0.46 0.78 0.3 ]
9 : [ 0.82 0.7 0.82 ]
10 : [ 0.26 0.62 0.02 ]
11 : [ 0.54 0.06 0.34 ]
12 : [ 0.1 0.58 0.7 ]
13 : [ 0.9 0.74 0.14 ]
14 : [ 0.02 0.3 0.78 ]
15 : [ 0.58 0.14 0.46 ]
16 : [ 0.78 0.46 0.94 ]
17 : [ 0.3 0.42 0.9 ]
18 : [ 0.5 0.5 0.58 ]
19 : [ 0.38 0.82 0.06 ]
20 : [ 0.42 0.02 0.98 ]
21 : [ 0.14 0.98 0.42 ]
22 : [ 0.34 0.18 0.18 ]
23 : [ 0.06 0.94 0.22 ]
24 : [ 0.62 0.38 0.66 ]
PhiP=7.538512, C2=0.080495, MinDist=0.132665
optimal lhs= class=MonteCarloLHS name=Unnamed lhs=class=LHSExperiment name=Unnamed distribution=class=JointDistribution name=JointDistribution dimension=3 copula=class=IndependentCopula name=IndependentCopula dimension=3 marginal[0]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[1]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[2]=class=Uniform name=Uniform dimension=1 a=0 b=1 size=25 alwaysShuffle=true random shift=false spaceFilling=class=SpaceFilling implementation=class=SpaceFillingC2 minimization=true simulation size=1000
Best design with MonteCarlo and C2 space filling= [ X0 X1 X2 ]
0 : [ 0.26 0.22 0.66 ]
1 : [ 0.78 0.74 0.58 ]
2 : [ 0.18 0.9 0.82 ]
3 : [ 0.5 0.7 0.22 ]
4 : [ 0.62 0.98 0.1 ]
5 : [ 0.7 0.46 0.54 ]
6 : [ 0.22 0.66 0.3 ]
7 : [ 0.54 0.58 0.7 ]
8 : [ 0.46 0.34 0.94 ]
9 : [ 0.9 0.62 0.9 ]
10 : [ 0.74 0.38 0.98 ]
11 : [ 0.94 0.06 0.78 ]
12 : [ 0.58 0.5 0.26 ]
13 : [ 0.34 0.54 0.06 ]
14 : [ 0.42 0.02 0.46 ]
15 : [ 0.66 0.82 0.86 ]
16 : [ 0.38 0.18 0.14 ]
17 : [ 0.82 0.26 0.34 ]
18 : [ 0.1 0.42 0.5 ]
19 : [ 0.02 0.3 0.18 ]
20 : [ 0.98 0.78 0.42 ]
21 : [ 0.06 0.94 0.62 ]
22 : [ 0.86 0.1 0.02 ]
23 : [ 0.14 0.14 0.74 ]
24 : [ 0.3 0.86 0.38 ]
Final criteria: C2=0.048262, PhiP=6.063391, MinDist=0.164924
optimal lhs= class=MonteCarloLHS name=Unnamed lhs=class=LHSExperiment name=Unnamed distribution=class=JointDistribution name=JointDistribution dimension=3 copula=class=IndependentCopula name=IndependentCopula dimension=3 marginal[0]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[1]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[2]=class=Uniform name=Uniform dimension=1 a=0 b=1 size=25 alwaysShuffle=true random shift=false spaceFilling=class=SpaceFilling implementation=class=SpaceFillingPhiP p=50 simulation size=1000
Best design with MonteCarlo and PhiP space filling= [ X0 X1 X2 ]
0 : [ 0.7 0.5 0.42 ]
1 : [ 0.66 0.46 0.62 ]
2 : [ 0.46 0.94 0.02 ]
3 : [ 0.42 0.18 0.18 ]
4 : [ 0.3 0.14 0.46 ]
5 : [ 0.74 0.74 0.14 ]
6 : [ 0.22 0.86 0.3 ]
7 : [ 0.94 0.22 0.82 ]
8 : [ 0.98 0.1 0.38 ]
9 : [ 0.38 0.9 0.94 ]
10 : [ 0.5 0.62 0.7 ]
11 : [ 0.58 0.02 0.86 ]
12 : [ 0.14 0.26 0.66 ]
13 : [ 0.62 0.06 0.26 ]
14 : [ 0.86 0.98 0.58 ]
15 : [ 0.26 0.58 0.5 ]
16 : [ 0.54 0.38 0.78 ]
17 : [ 0.78 0.42 0.1 ]
18 : [ 0.1 0.3 0.9 ]
19 : [ 0.82 0.66 0.74 ]
20 : [ 0.18 0.82 0.98 ]
21 : [ 0.34 0.7 0.22 ]
22 : [ 0.02 0.78 0.34 ]
23 : [ 0.9 0.34 0.54 ]
24 : [ 0.06 0.54 0.06 ]
Final criteria: C2=0.054637, PhiP=4.849115, MinDist=0.207846
optimal lhs= class=MonteCarloLHS name=Unnamed lhs=class=LHSExperiment name=Unnamed distribution=class=JointDistribution name=JointDistribution dimension=3 copula=class=IndependentCopula name=IndependentCopula dimension=3 marginal[0]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[1]=class=Uniform name=Uniform dimension=1 a=0 b=1 marginal[2]=class=Uniform name=Uniform dimension=1 a=0 b=1 size=25 alwaysShuffle=true random shift=false spaceFilling=class=SpaceFilling implementation=class=SpaceFillingMinDist minimization=false simulation size=1000
Best design with MonteCarlo and MinDist space filling= [ X0 X1 X2 ]
0 : [ 0.94 0.82 0.42 ]
1 : [ 0.98 0.06 0.82 ]
2 : [ 0.62 0.26 0.7 ]
3 : [ 0.82 0.1 0.38 ]
4 : [ 0.38 0.62 0.74 ]
5 : [ 0.86 0.22 0.66 ]
6 : [ 0.54 0.34 0.1 ]
7 : [ 0.3 0.9 0.02 ]
8 : [ 0.22 0.7 0.9 ]
9 : [ 0.78 0.42 0.86 ]
10 : [ 0.9 0.3 0.46 ]
11 : [ 0.06 0.46 0.94 ]
12 : [ 0.18 0.94 0.78 ]
13 : [ 0.42 0.58 0.18 ]
14 : [ 0.58 0.74 0.54 ]
15 : [ 0.34 0.78 0.34 ]
16 : [ 0.14 0.54 0.3 ]
17 : [ 0.74 0.66 0.14 ]
18 : [ 0.26 0.02 0.5 ]
19 : [ 0.02 0.86 0.22 ]
20 : [ 0.1 0.5 0.62 ]
21 : [ 0.7 0.98 0.06 ]
22 : [ 0.46 0.14 0.58 ]
23 : [ 0.66 0.18 0.26 ]
24 : [ 0.5 0.38 0.98 ]
Final criteria: C2=0.069361, PhiP=4.679805, MinDist=0.215407
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