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. 2022 Jun 8;12:9421. doi: 10.1038/s41598-022-13516-3

Table 7.

Optimization results take into account the posture of the end-effector.

Algorithm EOSMA SMA EO MRFO MPA PFA FPA DE
Worst 5.55E−17 0.242342 0.289362 0.26697 9.71E−07 0.23774 0.230746 1.28E−12
Mean 7.79E−18 0.043938 0.02786 0.009398 4.55E−07 0.020017 0.037691 1.04E−13
Best 0.00E+00 0.001052 5.82E−11 1.99E−16 4.01E−08 2.95E−13 6.58E−05 5.26E−16
Std 1.21E−17 0.050096 0.047801 0.035825 2.54E−07 0.044404 0.045514 1.95E−13
Time (s) 0.360804 1.680179 2.207461 1.395682 0.424897 2.057285 9.616893 0.896265
Algorithm GBO TLBO HHO IGWO PSOGSA CODE MTDE SASS
Worst 0.229208 0.053045 0.473011 0.101893 0.410281 0.117581 0.016585 8.09E−17
Mean 0.007624 0.004314 0.147295 0.0027 0.07595 0.027037 0.000283 5.35E−18
Best 0.00E+00 8.53E−11 0.005506 0.000123 1.76E−13 0.005138 1.85E−09 0.00E+00
Std 0.035906 0.009956 0.10784 0.010879 0.091469 0.0198 0.002008 1.06E−17
Time (s) 4.995488 5.640442 8.849817 22.94664 12.72971 7.604563 2.485424 0.61688

The optimal values are shown in bold.