Table 10 Experimental results of four algorithms with the same number of iterations.

From: Efficient workflow scheduling using an improved multi-objective memetic algorithm in cloud-edge-end collaborative framework

Data

IMOMA

MOPSO[13]

NSGA-II[14]

SPEA-II[15]

HV

IGD

time(s)

HV

IGD

Time(s)

HV

IGD

Time(s)

HV

IGD

Time(s)

data_50_01

0.82

0.03

27.39

0.49

0.06

24.62

0.81

0.03

26.63

0.73

0.04

24.33

data_50_02

0.86

0.07

25.42

0.52

0.12

22.53

0.82

0.07

24.82

0.68

0.12

22.75

data_50_03

0.83

0.24

28.94

0.38

0.73

26.78

0.63

0.10

27.56

0.53

0.18

25.12

data_75_01

0.85

0.04

51.01

0.46

0.14

47.81

0.83

0.04

66.64

0.75

0.09

60.32

data_75_02

0.74

0.13

50.25

0.41

0.34

46.67

0.70

0.14

64.65

0.64

0.16

58.25

data_75_03

0.74

0.08

53.44

0.40

0.10

50.19

0.77

0.06

69.48

0.71

0.07

62.73

data_100_01

0.77

0.12

65.38

0.38

0.12

63.91

0.64

0.18

80.46

0.57

0.26

73.41

data_100_02

0.81

0.06

68.71

0.45

0.29

65.14

0.80

0.11

86.19

0.75

0.11

75.93

data_100_03

0.88

0.09

70.35

0.42

0.19

66.85

0.87

0.12

87.62

0.79

0.09

77.01

data_200_01

0.82

0.10

140.10

0.29

0.19

127.48

0.72

0.09

180.53

0.67

0.12

165.66