Table 11 Decision parameters obtained by all algorithms for the TCDO problem.

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

Algorithm

\({x}_{1}\)

\({x}_{2}\)

Min

Mean

STD

RT

FRT

RCOA

5.4527

0.2915

26.4854

26.4854

3.892E−15

0.049342

1.000

GWO

5.4528

0.2915

26.4855

26.4865

1.146E−03

0.052083

3.000

SCA

5.4631

0.2914

26.5297

26.5698

3.477E−02

0.049479

6.167

JAYA

5.4599

0.2912

26.5032

26.5341

3.648E−02

0.002604

5.333

AOA

5.4527

0.2915

26.4854

26.4854

1.989E−09

0.054688

2.000

CrSA

5.4542

0.2915

26.4896

26.4954

3.390E−03

0.390625

4.000

MRFO

5.4484

0.2922

26.5002

26.7097

1.654E−01

11.54167

7.000

MPA

5.5014

0.2889

26.5827

26.8388

2.422E−01

1.184896

7.500

  1. Significant values are in bold.