Table 5 Partial sampling samples bank information by Hammersley.

From: Enhanced predictive modeling framework for multi-objective global optimization of passenger car rear seat using hybrid approximation models

No

Variables

Responses

T1/mm

\(\cdots\)

T5/mm

M1

\(\cdots\)

M5

Dis1

Dis2

Cost

Mass

\(\cdots\)

F5

1

1.0

\(\cdots\)

1.4

109

\(\cdots\)

105

76.2

77.5

48.79

9.59

.\(\cdots\)

0.68

2

1.0

\(\cdots\)

1.4

109

\(\cdots\)

105

72

75.5

44.94

9.59

\(\cdots\)

0.681

3

1.1

\(\cdots\)

1.4

109

\(\cdots\)

106

74.1

76.5

47.08

9.63

\(\cdots\)

0.696

4

1.2

\(\cdots\)

1.5

109

\(\cdots\)

106

70.3

74.9

52.22

9.83

\(\cdots\)

0.688

5

1.3

\(\cdots\)

1.5

109

\(\cdots\)

107

75.6

77.9

47.08

9.97

\(\cdots\)

0.815

6

1.4

\(\cdots\)

1.6

110

\(\cdots\)

108

76.6

79.3

51.79

10

\(\cdots\)

0.772

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

.\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

\(\cdots\)

20

1.7

\(\cdots\)

2.2

112

\(\cdots\)

108

80.1

82.1

50.5

9.94

\(\cdots\)

0.748