Table 5 Computation time analysis of SNCPO and other optimizers on CEC2020.

From: Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization

 

SNCPO

PO

AO

EDO

GWO

MFO

OBLPFA

SCA

F16

17.61

7.74

5.08

58.68

77.56

106.04

78.51

67.13

F17

18.16

8.71

5.51

60.36

78.89

108.09

80.56

68.22

F18

18.39

8.72

5.51

60.34

78.98

107.45

80.68

68.29

F19

120.22

214.25

105.62

159.05

173.07

241.99

258.75

165.27

F20

36.35

44.58

23.35

72.65

83.7

105.38

95.16

78.86

F21

48.89

66.69

35.84

77.79

91.18

115.69

106.68

83.35

F7

45.83

58.61

32.68

73.57

80.61

76.26

94.71

77.26

F8

49.84

68.87

40.62

73.68

86.54

68.02

71.3

78.86

F9

40.73

51.07

32.04

65.06

65.99

61.15

53.59

71.44

F10

37.9

45.57

28.52

62.25

45.93

57.49

50.85

56.42

  1. Significant values are given in bold.
Back to article page