Table 21 Output of NSGAII algorithm.

From: Optimization of carbon emission in an integrated machine-piece scheduling and vehicle routing problem and its solution using MOPSO and NSGAII metaheuristic algorithms

 

NSGAII

Problem

Diversity

Spacing

Nos

MID

DM

MOCV

CPU time

1

427.47

68.39

5

220.78

43.791

5.04

15.44

2

338.24

23.81

3

177.60

29.458

6.02

14.09

3

1670.69

106.25

12

809.97

121.698

6.65

13.87

4

998.96

19.29

4

491.52

62.557

7.85

15.44

5

2174.68

743.88

4

705.21

89.743

7.85

14.90

6

559.08

76.88

6

371.99

55.002

6.76

14.29

7

1338.49

244.99

5

841.03

74.451

11.29

15.03

8

1905.74

215.79

6

1148.88

97.125

11.82

16.32

9

1446.39

186.74

5

699.59

77.504

9.02

16.49

10

925.64

72.20

5

437.33

62.861

6.95

17.43

11

4318.83

1051.21

5

1648.26

132.953

12.39

16.74

12

3377.23

112.21

9

1410.42

157.147

8.97

15.67

13

3652.46

427.12

7

1078.66

152.784

7.06

15.54

14

1174.72

126.53

5

493.69

69.172

7.13

17.32

15

3193.11

412.86

7

1446.91

130.227

11.11

15.61

16

3799.35

528.71

4

1989.348

109.89

18.10

18.55

17

2849.58

53.56

5

1448.487

107.28

13.50

21.02

18

3557.12

708.38

7

1947.451

131.09

14.85

17.78

19

3067.04

242.92

6

1541.869

118.94

12.96

17.71

20

2821.02

812.36

3

1646.133

88.06

18.69

20.54

21

5476.60

2005.18

4

1854.863

141.30

13.12

22.72

22

3938.57

570.81

5

1621.138

126.31

12.83

25.09

23

4539.07

1263.73

3

1907.123

111.53

17.09

25.77

24

5105.91

473.60

9

2018.940

189.32

10.66

22.03

25

2719.08

569.08

4

1660.531

96.73

17.16

22.34

26

6165.77

515.69

12

2109.503

241.69

8.72

21.52

27

2018.27

395.83

3

896.029

73.42

12.20

22.37

28

6629.46

304.84

3

3403.824

129.75

26.23

22.78

29

2930.46

173.01

3

1423.946

86.41

16.47

24.92

30

4437.46

782.43

4

2558.555

125.84

20.33

24.66

Avg.

2918.55

442.95

5.43

1333.65

107.80

11.97

18.80

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