Table 6 Experimental results of MSBOA and classical algorithms.

From: Multi-strategy secretary bird optimization algorithm for UAV path planning in complex environment

Scenario

Algorithms

GWO

WOA

PSO

RUN

MSBOA

Scenario-1

Ave

5.1887E+03

5.9470E+03

5.3046E+03

5.2715E+03

5.1832E+03

Std

2.3677E+01

2.8424E+02

4.0908E+01

1.2963E+02

1.6239E+01

P-value

2.9820E-01

3.2827E-21

9.0429E-22

4.7680E-04

N/A

Scenario-2

Ave

5.1889E+03

6.0024E+03

5.3279E+03

5.2841E+03

5.1778E+03

Std

3.5850E+01

2.5536E+02

6.9074E+01

1.0174E+02

4.9637E+00

P-value

9.8280E-02

4.9399E-25

3.6911E-17

3.9757E-07

N/A

Scenario-3

Ave

5.4028E+03

7.3787E+03

5.8807E+03

5.5287E+03

5.3392E+03

Std

9.2381E+00

7.3500E+02

1.4599E+02

1.1390E+02

9.1806E+01

P-value

3.7557E-04

9.8728E-22

1.9065E-24

2.0206E-09

N/A

Scenario-4

Ave

7.6511E+03

9.1480E+03

7.5494E+03

6.2630E+03

5.6407E+03

Std

2.0746E+03

1.2242E+03

1.1632E+03

3.5793E+02

2.3469E+02

P-value

2.0633E-06

3.5965E-22

2.7321E-12

7.0326E-11

N/A

Scenario-5

Ave

5.1699E+03

5.6224E+03

5.2810E+03

5.2398E+03

5.1646E+03

Std

1.8266E+01

1.7672E+02

7.8420E+01

6.1714E+01

1.2234E+01

P-value

1.9676E-01

1.8118E-20

5.3810E-11

1.7036E-08

N/A

Scenario-6

Ave

5.2487E+03

7.1671E+03

5.5199E+03

5.3674E+03

5.2431E+03

Std

1.5492E+01

5.6053E+02

6.9952E+01

1.5417E+02

1.1192E+01

P-value

1.1392E-01

2.3916E-26

3.3132E-29

4.6354E-05

N/A

Scenario-7

Ave

6.3039E+03

7.5116E+03

6.4274E+03

5.7638E+03

5.6485E+03

Std

5.5734E+02

8.9572E+02

2.3563E+02

1.9580E+02

1.0174E+02

P-value

3.7836E-08

2.5735E-16

9.9560E-24

5.8707E-03

N/A

Scenario-8

Ave

7.6044E+03

8.3451E+03

7.3637E+03

5.7163E+03

5.6651E+03

Std

1.6759E+03

1.2868E+03

1.0678E+03

1.9396E+02

2.7398E+01

P-value

3.7647E-08

1.8999E-16

4.0088E-12

1.5724E-01

N/A