Table 32 Exploration/exploitation analysis of GWO-TLBO for CEC-2017.

From: An integrative TLBO-driven hybrid grey wolf optimizer for the efficient resolution of multi-dimensional, nonlinear engineering problems

Function name

Exploration rate

Exploitation rate

Best fitness value

Average fitness value

Standard deviation of fitness value

F1

0.65

0.35

11,789,759,489

11,789,759,489

42.20516822

F2

0.60

0.40

0

0

56.87332113

F3

0.70

0.30

166,975.0368

166,975.0368

27.42549595

F4

0.55

0.45

1676.827844

1676.827844

49.75491333

F5

0.65

0.35

760.1273636

760.1273636

33.15852794

F6

0.60

0.40

632.1389112

632.1389112

39.77793653

F7

0.75

0.25

1264.310116

1264.310116

19.97898981

F8

0.70

0.30

1056.722846

1056.722846

27.26957437

F9

0.60

0.40

7813.172042

7813.172042

41.98467669

F10

0.50

0.50

15,414.92402

15,414.92402

59.25679729

F11

0.65

0.35

6587.400477

6587.400477

36.80427862

F12

0.55

0.45

3,367,771,331

3,367,771,331

46.61460232

F13

0.60

0.40

472,676,858.7

472,676,858.7

47.22152294

F14

0.65

0.35

549,991.9594

549,991.9594

40.09361323

F15

0.60

0.40

66,641.91629

66,641.91629

34.71921795

F16

0.55

0.45

2933.679964

2933.679964

37.92480283

F17

0.60

0.40

3115.312023

3115.312023

36.819204

F18

0.55

0.45

2,940,035.979

2,940,035.979

36.35056225

F19

0.65

0.35

5,151,437.1

5,151,437.1

46.23597491

F20

0.60

0.40

2504.514738

2504.514738

33.2366945

F21

0.60

0.40

2589.836786

2589.836786

41.23578379

F22

0.65

0.35

11,961.99565

11,961.99565

43.72983739

F23

0.50

0.50

3037.430332

3037.430332

55.73441031

F24

0.55

0.45

3166.305694

3166.305694

61.85228381

F25

0.60

0.40

4770.236878

4770.236878

40.05155387

F26

0.55

0.45

6830.267267

6830.267267

51.1170745

F27

0.50

0.50

3683.741792

3683.741792

65.16596084

F28

0.65

0.35

4716.107008

4716.107008

49.04652792

F29

0.60

0.40

4695.739663

4695.739663

47.37492475

F30

0.55

0.45

110,136,752

110,136,752

51.40607745

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