Table 11 Findings from the sensitivity analysis of HO concerning parameter \(\mathcal{T}\).

From: Hippopotamus optimization algorithm: a novel nature-inspired optimization algorithm

Objective Functions

Maximum number of iteration

200

500

800

1000

F1

0

0

0

0

F2

0

0

0

0

F3

1.5456E-41

0

0

0

F4

1.6531E-66

0

0

0

F5

20.9691

13.3132

5.4924

3.3495

F6

0

0

0

0

F7

2.6782E-04

7.1535E-05

7.0243E-05

1.5269E-05

F8

− 9.7163E + 03

− 9.5356E + 03

− 9.8802E + 03

− 9.2684E + 03

F9

0

0

0

0

F10

4.4409E− 16

4.4409E-16

4.4409E-16

4.4409E-16

F11

0

0

0

0

F12

1.2730E-10

3.3597E-24

1.5705E-32

1.5705E-32

F13

3.5137E-08

7.2720E-21

1.3498E-32

1.3498E-32

F14

0.9980

0.9980

0.9980

0.9980

F15

3.0749E-04

3.0749E-04

3.0749E-04

3.0749E-04

F16

− 1.0316

− 1.0316

− 1.0316

− 1.0316

F17

0.3979

0.3979

0.3979

0.3979

F18

3

3

3

3

F19

− 3.8628

− 3.8628

− 3.8628

− 3.8628

F20

− 3.3220

− 3.3220

− 3.3220

− 3.3220

F21

− 10.1532

− 10.1532

− 10.1532

− 10.1532

F22

− 10.4029

− 10.4029

− 10.4029

− 10.4029

F23

− 10.5364

− 10.5364

− 10.5364

− 10.5364