Table 29 Analysis of gear train design problem using HHO variants.
Algorithm | Best | Mean | Median | Standard deviation | Average time per run (sec.) |
|---|---|---|---|---|---|
HHO | 0 | 0 | 0 | 0 | 0.00221261 |
HHO-Elite | 0 | 0 | 0 | 0 | 0.00884181 |
HHO-GA | 0 | 1.71192E-30 | 0 | 8.27642E-30 | 0.003347763 |
HHO-CHAOS | 7.86841E-25 | 9.91976E-18 | 7.26126E-19 | 2.40476E-17 | 0.001450057 |
HHO-ADAP | 0 | 0 | 0 | 0 | 0.00338743 |
HHO-PSO | 0 | 0 | 0 | 0 | 0.001660447 |
HHO-Inertia | 0 | 3.73376E-12 | 0 | 2.03405E-11 | 0.001080277 |
HHO-ULTRA | 0 | 0 | 0 | 0 | 0.01244179 |
WMA | 0 | 5.12733E-10 | 6.20242E-16 | 2.56122E-09 | 0.286592727 |
CMA-ES | 1.61359E-05 | 0.011659046 | 0.006139722 | 0.013085382 | 0.052466813 |
EBOwithCMAR | 0 | 3.0379E-13 | 0 | 1.66393E-12 | 0.135903463 |
L-SHADE | 4.48007E-20 | 8.65004E-13 | 3.91192E-15 | 3.18456E-12 | 0.042646907 |
LSHADE-cnEpSin | 0 | 4.04596E-13 | 0 | 1.70561E-12 | 0.05778421 |
SPS-L-SHADE-EIG | 0 | 3.53608E-16 | 9.84214E-26 | 1.74121E-15 | 0.201991897 |
OWMA | 5.10516E-15 | 1.41368E-11 | 7.01692E-12 | 2.99339E-11 | 0.21384677 |
