Table 14 Decision parameters found by all methods for the TCSDO challenge.

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

Algorithm

\({x}_{1}\)

\({x}_{2}\)

\({x}_{3}\)

RCOA

0.1391

1.3000

11.8924

GWO

0.1392

1.3000

11.8915

SCA

0.1388

1.3000

11.8200

JAYA

0.1381

1.2672

12.4117

AOA

0.1391

1.3000

11.8924

CrSA

0.1391

1.2987

11.9305

MRFO

0.1392

1.3000

11.9019

MPA

0.1391

1.3000

11.8909

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