Table 13 Statistical results of optimization methods on different benchmark functions.

From: Enhancement of AVR system performance by using hybrid harmony search and dwarf mongoose optimization algorithms

Function

Global optima

 

HS

DMOA

HS-DMOA

LUS

F1

0

Max

9.88E + 02

0

0

9.90E-07

Min

2.91E + 02

0

0

5.55E-07

Avg

5.88E + 02

0

0

8.78E-07

Std

2.13E + 02

0

0

1.34E-07

F2

0

Max

0

0

0

1.37E + 00

Min

0

0

0

5.54E-02

Avg

0

0

0

5.70E-01

Std

0

0

0

4.72E-01

F3

0

Max

6.38E + 03

2.57E-04

3.09E-05

1.18E + 01

Min

3.11E + 03

3.36E-05

1.11E-06

4.50E-01

Avg

4.82E + 03

1.12E-04

9.25E-06

4.87E + 00

Std

1.25E + 03

8.05E-05

8.92E-06

4.49E + 00

F4

0

Max

5.40E + 01

1.20E + 01

2.22E-02

8.42E-01

Min

1.46E-08

2.90E-07

1.72E-09

1.83E-03

Avg

1.78E + 01

1.20E + 00

2.22E-03

3.35E-01

Std

1.51E + 01

3.80E + 00

7.04E-03

3.22E-01

F5

0

Max

4.50E + 05

1.62E + 01

6.23E + 00

8.97E + 00

Min

2.86E + 03

1.86E + 00

1.31E-01

4.34E + 00

Avg

1.28E + 05

5.79E + 00

2.84E + 00

6.63E + 00

Std

1.27E + 05

3.81E + 00

2.26E + 00

1.55E + 00

F6

0

Max

7.70E + 02

0

0

9.92E-07

Min

2.66E + 02

0

0

6.48E-07

Avg

5.58E + 02

0

0

8.70E-07

Std

1.52E + 02

0

0

1.04E-07

F7

0

Max

2.95E-01

6.09E-03

4.67E-03

5.42E-01

Min

5.75E-02

2.46E-03

2.35E-03

2.63E-02

Avg

1.69E-01

4.07E-03

3.39E-03

2.23E-01

Std

8.12E-02

1.31E-03

7.51E-04

1.64E-01