Table 2 Comparison of average and standard deviation values for the studied algorithms employed in CEC-BC-2017.

From: Enhanced convolutional neural network architecture optimized by improved chameleon swarm algorithm for melanoma detection using dermatological images

Function

Indicator

ICSA

CSA 31

LOA 28

LS 27

LSHADE-SPACMA 30

IPOP-CMA-ES 29

F1

Avg

2015.43

2264.59

2574.83

2863.18

1863.96

100.0

StD

1364.44

1537.52

1919.50

2015.44

1182.42

50.0

F3

Avg

1050.0

1266.0

1940.36

1530.15

1450.09

500.0

StD

5.63e-6

6.12e-6

238.53

133.37

262.86

10.0

F5

Avg

777.66

833.41

925.22

1012.47

751.83

50.15

StD

250.02

315.19

523.17

800.0

120.0

25.0

F7

Avg

600.0

800.66

700.12

800.0

623.0

33.73

StD

300.34

480.0

664.53

593.0

420.90

10

F9

Avg

370.55

420.11

500.9

460.0

380.0

90.0

StD

126.38

238.8

310.3

312.4

247.39

21.28

F11

Avg

1200.72

1362.56

1590.60

1800.01

1021.33

100.2

StD

708.36

980.15

1000.11

1539.16

936.14

50.0

F13

Avg

1560.06

1633.43

1700.77

1816.30

2055.66

500.0

StD

1054.51

1222.45

1663.55

1713.40

1667.43

200.0

F15

Avg

1262.12

1360.22

1511.24

1833.47

1288.82

50.52

StD

1143.5

1210.42

1382.44

1540.83

1009.77

10.0

F17

Avg

1639.33

1945.36

2672.72

2588.64

1636.25

400.0

StD

1120.72

1430.44

1864.88

2000.0

1000.22

100.0

F19

Avg

1933.11

2374.42

2637.53

2815.28

2546.82

500

StD

1518.45

1939.45

2444.14

2336.74

2242.63

300

Friedman mean rank

“7.36”

“5.46”

“6.21”

“6.46”

“5.71”

“8.32”

Rank

2

3

5

4

6

1