Table 7 Comparative analysis of five evolutionary algorithms and the proposed method.

From: Discriminative biomarker selection using hybrid multi-population evolutionary computation

Dataset

Measures

GA

PSO

DE

TLBO

GSA

Proposed

Leukemia cancer

Acc ± Std

86.25 ± 1.45

84.52 ± 1.25

87.23 ± 1.85

90.25 ± 2.01

92.65 ± 1.88

94.71 ± 0.57

#feat

39

41

34

29

27

17

ETime

845.25

945.25

1120.52

1554.23

1104.27

711.35

MLL

Acc ± Std

80.25 ± 2.54

82.52 ± 2.87

88.30 ± 3.07

87.41 ± 2.98

88.94 ± 2.47

91.63 ± 2.06

#feat

34

32

29

37

25

18

ETime

622.38

751.02

811.25

965.32

888.25

711.02

Ovarian

Acc ± Std

90.21 ± 2.14

91.25 ± 2.98

88.72 ± 2.45

89.65 ± 1.69

88.14 ± 1.35

93.66 ± 1.02

#feat

25

24

21

29

21

14

ETime

1132.05

1223.52

1377.95

1425.08

1423.57

966.52

CNS

Acc ± Std

69.52 ± 1.25

74.85 ± 2.31

76.33 ± 3.01

75.98 ± 0.99

77.25 ± 1.24

81.65 ± 0.45

#feat

30

34

28

27

25

18

ETime

877.98

811.63

799.25

1000.2

975.87

623.25

SRBCT

Acc ± Std

95.63 ± 1.32

94.85 ± 1.02

96.35 ± 0.96

93.02 ± 1.88

94.25 ± 0.91

99.52 ± 0.38

#feat

19

21

22

17

27

11

ETime

889.25

966.37

1552.74

966.52

877.63

844.25

Lung cancer

Acc ± Std

94.25 ± 0.96

92.22 ± 1.36

91.52 ± 0.96

93.52 ± 0.68

91.55 ± 1.44

95.22 ± 0.31

#feat

22

19

31

37

32

15

ETime

788.63

688.52

744.25

975.25

833.41

522.85