Table 33 Statistical results of optimization algorithms in the speed reducer design problem.
From: Learning cooking algorithm for solving global optimization problems
\({\text {Algorithms}}\) | \({\text {Mean}}\) | \({\text {Std}}\) | \({\text {Minimum}}\) | \({\text {Maximum}}\) | \({\text {Median}}\) |
|---|---|---|---|---|---|
LCA | 2.991E+03 | 8.927E–01 | 2.990E+03 | 2.994E+03 | 2.990E+03 |
TSA | 3.043E+03 | 9.916E+00 | 3.020E+03 | 3.058E+03 | 3.042E+03 |
SSA | 1.968E+16 | 2.224E+15 | 1.641E+16 | 2.423E+16 | 1.930E+16 |
MVO | 3.042E+03 | 1.998E+01 | 3.012E+03 | 3.094E+03 | 3.044E+03 |
SCA | 3.117E+03 | 4.468E+01 | 3.050E+03 | 3.191E+03 | 3.110E+03 |
GWO | 3.007E+03 | 4.017E+00 | 2.998E+03 | 3.013E+03 | 3.009E+03 |
WOA | 3.247E+03 | 2.981E+02 | 3.019E+03 | 4.379E+03 | 3.161E+03 |
GJO | 3.016E+03 | 6.880E+00 | 3.005E+03 | 3.034E+03 | 3.015E+03 |
IGWO | 2.994E+03 | 4.440E–06 | 2.994E+03 | 2.994E+03 | 2.994E+03 |
MWOA | 3.414E+03 | 6.050E+02 | 3.038E+03 | 5.256E+03 | 3.181E+03 |
MTBO | 2.994E+03 | 1.348E–12 | 2.994E+03 | 2.994E+03 | 2.994E+03 |
BWO | 3.078E+03 | 3.639E+01 | 3.030E+03 | 3.191E+03 | 3.074E+03 |
HHO | 3.361E+03 | 4.559E+02 | 3.006E+03 | 4.492E+03 | 3.142E+03 |
MGO | 2.994E+03 | 8.013E–13 | 2.994E+03 | 2.994E+03 | 2.994E+03 |
SCSO | 3.006E+03 | 5.300E+00 | 2.997E+03 | 3.018E+03 | 3.006E+03 |
