Table 4 Algorithm comparison results.

From: An improve crested porcupine algorithm for UAV delivery path planning in challenging environments

 

WOA

BKA

PO

COA

CPO

ICPO

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

Mean

Std

F1

4.37E+04

1.62E+04

7.14E+03

3.48E+03

1.66E+04

5.07E+03

4.45E+04

1.26E+04

2.39E+04

4.31E+03

1.39E+03

7.99E+02

F2

6.88E+02

9.12E+01

6.27E+02

1.42E+02

6.86E+02

1.05E+02

2.39E+03

5.86E+02

4.89E+02

1.38E+01

4.59E+02

1.12E+01

F3

6.66E+02

1.17E+01

6.52E+02

9.57E+00

6.54E+02

1.01E+01

6.77E+02

8.83E+00

6.08E+02

1.57E+00

6.02E+02

1.45E+00

F4

9.47E+02

3.01E+01

8.84E+02

1.99E+01

9.14E+02

2.33E+01

9.69E+02

1.68E+01

9.26E+02

9.42E+00

8.55E+02

1.80E+01

F5

4.54E+03

1.48E+03

2.04E+03

3.56E+02

2.68E+03

4.11E+02

3.39E+03

4.18E+02

1.02E+03

5.85E+01

1.07E+03

1.44E+02

F6

1.15E+07

1.27E+07

1.30E+06

4.98E+06

1.03E+07

1.98E+07

1.82E+09

8.74E+08

1.15E+06

6.30E+05

6.76E+03

4.28E+03

F7

2.23E+03

7.43E+01

2.12E+03

4.04E+01

2.17E+03

3.79E+01

2.21E+03

4.04E+01

2.10E+03

1.54E+01

2.05E+03

1.42E+01

F8

2.31E+03

8.05E+01

2.29E+03

7.05E+01

2.29E+03

5.89E+01

2.39E+03

1.15E+02

2.24E+03

4.33E+00

2.23E+03

3.36E+00

F9

2.63E+03

5.01E+01

2.55E+03

5.13E+01

2.59E+03

4.50E+01

3.26E+03

3.00E+02

2.49E+03

2.30E+00

2.48E+03

1.21E+00

F10

4.84E+03

1.41E+03

4.27E+03

1.15E+03

3.02E+03

1.01E+03

5.89E+03

1.50E+03

2.58E+03

3.24E+02

2.57E+03

2.52E+02

F11

4.50E+03

6.04E+02

4.63E+03

1.07E+03

5.59E+03

7.36E+02

8.44E+03

8.91E+02

3.22E+03

7.32E+01

2.95E+03

1.56E+02

F12

3.10E+03

1.22E+02

3.05E+03

7.64E+01

3.03E+03

6.04E+01

3.52E+03

2.09E+02

3.05E+03

1.67E+01

2.99E+03

3.19E+01

  1. Significant values are the best results in the comparison of algorithm performance.