Table 32 The comparison results of the speed reducer design problem.
From: Learning cooking algorithm for solving global optimization problems
Algorithms | Optimal values for variables | Optimum weight | ||||||
|---|---|---|---|---|---|---|---|---|
b | m | x | \(l_1\) | \(l_2\) | \(d_1\) | \(d_2\) | ||
LCA | 3.502E+00 | 7.000E–01 | 2.517E+01 | 8.230E+00 | 8.300E+00 | 3.811E+00 | 5.457E+00 | 2.990E+03 |
TSA | 3.515E+00 | 7.014E–01 | 1.701E+01 | 7.300E+00 | 7.799E+00 | 3.441E+00 | 5.301E+00 | 3.042E+03 |
SSA | 3.490E+00 | 2.624E+00 | 2.807E+00 | 2.811E+00 | 3.406E+00 | 3.562E+00 | 3.439E+00 | 1.868E+16 |
MVO | 3.501E+00 | 7.000E–01 | 1.700E+01 | 7.397E+00 | 7.905E+00 | 3.395E+00 | 5.287E+00 | 3.012E+03 |
SCA | 3.517E+00 | 7.000E–01 | 1.700E+01 | 7.300E+00 | 8.300E+00 | 3.388E+00 | 5.500E+00 | 3.165E+03 |
GWO | 3.504E+00 | 7.000E–01 | 1.700E+01 | 7.751E+00 | 7.841E+00 | 3.353E+00 | 5.288E+00 | 3.005E+03 |
WOA | 3.600E+00 | 7.145E–01 | 1.768E+01 | 7.869E+00 | 7.718E+00 | 3.547E+00 | 5.287E+00 | 3.288E+03 |
GJO | 3.512E+00 | 7.000E–01 | 1.700E+01 | 8.219E+00 | 8.140E+00 | 3.414E+00 | 5.287E+00 | 3.034E+03 |
IGWO | 3.500E+00 | 7.000E–01 | 1.700E+01 | 7.300E+00 | 7.715E+00 | 3.350E+00 | 5.287E+00 | 2.994E+03 |
MWOA | 3.500E+00 | 7.000E–01 | 1.700E+01 | 7.913E+00 | 7.821E+00 | 3.660E+00 | 5.335E+00 | 3.121E+03 |
MTBO | 3.500E+00 | 7.000E–01 | 1.700E+01 | 7.300E+00 | 7.715E+00 | 3.350E+00 | 5.287E+00 | 2.994E+03 |
BWO | 3.600E+00 | 7.000E–01 | 1.700E+01 | 7.300E+00 | 8.300E+00 | 3.361E+00 | 5.330E+00 | 3.077E+03 |
HHO | 3.559E+00 | 7.000E–01 | 1.749E+01 | 7.300E+00 | 8.184E+00 | 3.426E+00 | 5.287E+00 | 3.134E+03 |
MGO | 3.500E+00 | 7.000E–01 | 1.700E+01 | 7.300E+00 | 7.715E+00 | 3.350E+00 | 5.287E+00 | 2.994E+03 |
SCSO | 3.500E+00 | 7.000E–01 | 1.700E+01 | 8.244E+00 | 8.072E+00 | 3.357E+00 | 5.287E+00 | 3.013E+03 |
