Table 1 Population diversity, exploration, and exploitation percentage results.

From: Bobcat Optimization Algorithm: an effective bio-inspired metaheuristic algorithm for solving supply chain optimization problems

Function name

Exploration

Exploitation

Diversity

First iteration

Last iteration

F1

9.39E–165

1

129.60658

1.22E–162

F2

0

1

17.253897

0

F3

0

1

264.31188

0

F4

0

1

211.89513

0

F5

0

1

39.256078

0

F6

0.0123597

0.9876403

117.86504

1.4567729

F7

0.072464

0.927536

1.386376

0.1004623

F8

5.96E–10

1

1290.0798

1.23E–06

F9

4.04E–10

1

10.449092

4.23E–09

F10

1.70E–17

1

46.046617

7.82E–16

F11

3.61E–11

1

730.84902

2.64E–08

F12

0

1

78.178087

0

F13

0

1

83.89034

0

F14

2.32E–09

1

32.439964

7.54E–08

F15

4.37E–11

1

2.8757232

1.26E–10

F16

0

1

1.6292818

0

F17

1.28E–09

1

3.9168571

5.01E–09

F18

2.902E–10

1

0.9188602

2.667E–10

F19

0.2354498

0.7645502

0.3785558

0.1117081

F20

0.1670655

0.8329345

0.4281158

0.0715234

F21

8.75E–11

1

3.661421

3.92E–10

F22

2.79E–10

1

2.7633739

7.70E–10

F23

5.79E–11

1

3.3034174

2.61E–10