Table 39 Statistical results of optimization algorithms in the cantilever beam.
From: Learning cooking algorithm for solving global optimization problems
\({\text {Algorithms}}\) | \({\text {Mean}}\) | \({\text {Std}}\) | \({\text {Minimum}}\) | \({\text {Maximum}}\) | \({\text {Median}}\) |
|---|---|---|---|---|---|
LCA | 1.3300 | 0.00340 | 1.3289 | 1.3399 | 1.3289 |
TSA | 1.341 | 0.00042 | 1.3403 | 1.342 | 1.3412 |
SSA | 8.1305 | 2.0829 | 3.8461 | 12.1496 | 7.9834 |
MVO | 1.3407 | 0.00039 | 1.3401 | 1.3417 | 1.3407 |
SCA | 1.3891 | 0.02061 | 1.346 | 1.4164 | 1.3925 |
GWO | 1.34 | 0.000032 | 1.34 | 1.3401 | 1.34 |
WOA | 1.4884 | 0.10368 | 1.3467 | 1.7161 | 1.4777 |
GJO | 1.3401 | 0.00013 | 1.34 | 1.3405 | 1.3401 |
IGWO | 1.34 | 0.000016 | 1.34 | 1.34 | 1.34 |
MWOA | 1.5018 | 0.1022 | 1.3607 | 1.763 | 1.4724 |
MTBO | 1.34 | 1.701E-06 | 1.3399 | 1.34 | 1.34 |
BWO | 1.3508 | 0.0044 | 1.3433 | 1.3591 | 1.3502 |
HHO | 1.3424 | 0.0012 | 1.3402 | 1.3452 | 1.3424 |
MGO | 1.3404 | 0.00036 | 1.3399 | 1.3411 | 1.3404 |
SCSO | 1.34 | 0.000039 | 1.33996 | 1.3401 | 1.34 |
