Skip to main content

An Open Access Journal

Table 2 Sample of Pareto optimal solutions proposed in the first interaction

From: Planning urban pavement maintenance by a new interactive multiobjective optimization approach

SOLUTIONS

OBJECTIVE FUNCTIONS

F1

F2

F3

F4

F5

F6

F7

S1

184

6,87

2,05

55%

13%

81%

30%

S2

208

6,98

1,68

61%

23%

84%

35%

S3

198

7,08

1,66

59%

22%

81%

33%

S4

195

6,90

1,77

58%

25%

82%

33%

S5

193

6,92

2,00

60%

16%

83%

32%

S6

195

6,91

2,01

58%

13%

85%

31%

S7

198

6,90

1,97

59%

16%

82%

35%

S8

192

6,92

1,83

59%

21%

80%

33%

S9

202

7,04

1,69

61%

22%

82%

35%

S10

198

7,05

1,66

61%

20%

85%

31%

S11

198

7,07

1,64

60%

20%

83%

32%

S12

206

6,97

1,65

60%

25%

83%

35%

S13

207

6,95

1,63

60%

22%

85%

35%

S14

206

6,97

1,66

60%

25%

83%

35%

S15

193

6,90

1,57

57%

26%

79%

34%

S16

198

6,93

1,55

64%

19%

85%

34%

S17

198

6,85

1,55

60%

14%

89%

30%

S18

200

6,91

1,63

58%

22%

80%

38%

S19

196

6,88

1,75

57%

13%

88%

31%

S20

202

6,94

1,66

59%

18%

86%

33%

S21

201

7,00

1,73

61%

20%

85%

34%

S22

200

6,96

1,74

62%

22%

84%

36%