Table 29 Statistical results of optimization algorithms in the pressure vessel problem.

From: Learning cooking algorithm for solving global optimization problems

\({\text {Algorithms}}\)

\({\text {Mean}}\)

\({\text {Std}}\)

\({\text {Minimum}}\)

\({\text {Maximum}}\)

\({\text {Median}}\)

LCA

5.887E+03

9.632E–01

5.886E+03

5.890E+03

5.886E+03

TSA

6.357E+03

5.103E+02

5.918E+03

7.357E+03

6.097E+03

SSA

6.290E+05

4.818E+05

3.281E+04

1.731E+06

5.432E+05

MVO

7.009E+03

4.792E+02

6.031E+03

7.839E+03

7.146E+03

SCA

7.085E+03

6.383E+02

6.062E+03

8.359E+03

7.045E+03

GWO

6.026E+03

3.505E+02

5.892E+03

7.267E+03

5.908E+03

WOA

8.340E+03

1.747E+03

6.078E+03

1.378E+04

7.950E+03

GJO

6.422E+03

5.740E+02

5.911E+03

7.339E+03

6.061E+03

IGWO

5.890E+03

2.219E+00

5.887E+03

5.895E+03

5.889E+03

MWOA

9.650E+03

3.756E+03

6.064E+03

2.163E+04

8.196E+03

MTBO

6.008E+03

2.992E+02

5.885E+03

7.233E+03

5.916E+03

BWO

7.287E+03

5.733E+02

6.480E+03

8.450E+03

7.141E+03

HHO

6.754E+03

4.730E+02

6.016E+03

7.535E+03

6.676E+03

MGO

6.544E+03

5.746E+02

5.886E+03

7.319E+03

6.377E+03

SCSO

6.672E+03

4.893E+02

5.890E+03

7.315E+03

6.873E+03