Table 5 FRT values of all algorithms for 23 benchmark functions.

From: Resistance–capacitance optimizer: a physics-inspired population-based algorithm for numerical and industrial engineering computation problems

 

RCOA

MPA

MRFO

CrSA

PSO

JAYA

SCA

GWO

F1

1

2

3.8

5.2

7

8

5.8

3.2

F2

1

2

4

6

7

8

5

3

F3

1

3

2

5

7

8

6

4

F4

1

2.2

2.8

5

7

8

6

4

F5

1

3.2

3.8

5

7

8

6

2

F6

1

5

3.2

3

7

8

6

2.8

F7

1.2

3.6

1.8

5.2

7

8

5.8

3.4

F8

1

5

5.6

2.8

2.2

8

7

4.4

F9

1.5

4.4

1.5

6.6

6.4

8

4.4

3.2

F10

1

2

4

5.2

7.2

7.2

6.4

3

F11

2

3.2

2.3

5.2

7

8

5.8

2.5

F12

1

3.8

3.2

5.4

7

8

5.6

2

F13

1

4.8

3.8

2

6.6

8

6.4

3.4

F14

1.8

6.8

3

1.8

5.8

6.2

4.2

6.4

F15

1.6

4.6

2.8

5.4

5.6

6.4

4.4

5.2

F16

2

5.2

5.6

4.6

1

8

6.6

3

F17

3.2

5

6

2.8

1

7.2

7.2

3.6

F18

2

3.6

6

3.8

1

8

6.2

5.4

F19

5

2.8

4.4

1.6

3.2

8

6.8

4.2

F20

4.8

3.2

3.6

3.6

4

8

7

1.8

F21

5.2

2.8

3

3.6

4.8

7.8

7

1.8

F22

2.2

3.4

5.2

2.4

4

7.8

7

4

F23

2

5.4

4

2.8

4.2

8

6.6

3

AFRT

1.935

3.783

3.713

4.087

5.217

7.765

6.052

3.448

R

1

4

3

5

6

8

7

2

  1. Significant values are in bold.
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