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

Table 5.

Comparative results of inverse kinematics problem.

Algorithm EOSMA SMA EO MRFO MPA PFA FPA DE
Worst 7.85E−16 3.09E−02 7.99E−07 9.92E−07 4.28E−07 2.66E−07 5.99E−02 9.93E−07
Mean 2.64E−17 9.57E−04 2.45E−08 1.37E−07 7.75E−08 5.73E−09 6.57E−03 2.97E−07
Best 0.00E+00 4.17E−05 0.00E+00 0.00E+00 1.43E−08 0.00E+00 3.26E−12 5.00E−14
Std 9.93E−17 3.27E−03 1.06E−07 2.27E−07 6.73E−08 3.43E−08 9.19E−03 2.80E−07
Time(s) 0.0567 0.5382 0.0649 0.1302 0.1284 0.0812 1.2808 0.2809
Algorithm GBO TLBO HHO IGWO PSOGSA CODE MTDE SASS
Worst 1.10E−11 2.42E−03 3.99E−02 1.35E−02 3.13E−13 2.76E−01 6.15E−03 1.01E−03
Mean 2.54E−13 2.23E−04 1.64E−03 2.84E−03 1.57E−13 5.79E−02 1.07E−03 1.99E−04
Best 0.00E+00 9.12E−09 9.03E−12 3.86E−05 4.37E−14 3.11E−03 1.27E−05 7.04E−11
Std 1.48E−12 4.56E−04 4.54E−03 3.26E−03 6.78E−14 5.71E−02 1.16E−03 2.28E−04
Time(s) 0.3058 1.6861 1.7444 5.5963 0.2084 0.4410 2.1214 1.2234

The optimal values are shown in bold.