Table 28 The comparison results of the pressure vessel problem.
From: Learning cooking algorithm for solving global optimization problems
Algorithms | Optimal values for variables | Optimum weight | |||
|---|---|---|---|---|---|
\(T_s\) | \(T_h\) | R | L | ||
LCA | 1.406E+00 | 2.712E+00 | 6.178E+01 | 2.609E+01 | 5.886E+03 |
TSA | 7.857E–01 | 3.940E–01 | 4.035E+01 | 2.000E+02 | 5.972E+03 |
SSA | 6.955E+00 | 3.033E+01 | 7.386E+01 | 5.460E+00 | 3.676E+05 |
MVO | 1.187E+00 | 5.890E–01 | 6.135E+01 | 2.952E+01 | 7.125E+03 |
SCA | 8.637E–01 | 4.103E–01 | 4.285E+01 | 2.000E+02 | 7.054E+03 |
GWO | 7.817E–01 | 3.875E–01 | 4.045E+01 | 1.982E+02 | 5.902E+03 |
WOA | 1.297E+00 | 5.923E–01 | 6.184E+01 | 2.543E+01 | 7.497E+03 |
GJO | 1.232E+00 | 6.052E–01 | 6.342E+01 | 1.805E+01 | 7.202E+03 |
IGWO | 7.786E–01 | 3.853E–01 | 4.034E+01 | 1.998E+02 | 5.888E+03 |
MWOA | 8.149E–01 | 5.384E+00 | 4.204E+01 | 1.774E+02 | 2.163E+04 |
MTBO | 7.842E–01 | 3.876E–01 | 4.063E+01 | 1.958E+02 | 5.897E+03 |
BWO | 9.974E–01 | 5.062E–01 | 4.948E+01 | 1.033E+02 | 6.678E+03 |
HHO | 9.434E–01 | 4.619E–01 | 4.841E+01 | 1.115E+02 | 6.262E+03 |
MGO | 8.139E–01 | 4.023E–01 | 4.217E+01 | 1.757E+02 | 5.949E+03 |
SCSO | 1.245E+00 | 6.155E–01 | 6.451E+01 | 1.312E+01 | 7.259E+03 |
