Table 18 Optimization results of different algorithms on Robot Gripper problem.
Algorithm | \(\:{\varvec{x}}_{1}\) | \(\:{\varvec{x}}_{2}\) | \(\:{\varvec{x}}_{3}\) | \(\:{\varvec{x}}_{4}\) | \(\:{\varvec{x}}_{5}\) | \(\:{\varvec{x}}_{6}\) | \(\:{\varvec{x}}_{7}\) | Optimum Cost |
|---|---|---|---|---|---|---|---|---|
AD-COA-L | 150 | 149.305453 | 199.9876 | 0.554889 | 111.5646 | 100.3744 | 2.508223 | 2.525423 |
COA | 149.9876 | 127.240596 | 194.5136 | 22.13016 | 149.9876 | 121.3282 | 2.650971 | 3.220764 |
GJO | 149.9876 | 149.846886 | 200 | 0 | 149.1175 | 103.3929 | 2.365144 | 2.592627 |
RSA | 149.9876 | 149.9876 | 199.9876 | 0 | 149.9876 | 106.9643 | 2.287727 | 4.897705 |
WOA | 149.9873 | 147.639939 | 158.7813 | 0 | 32.03828 | 151.2824 | 1.866606 | 4.163875 |
GWO | 149.3097 | 149.150576 | 194.2868 | 0 | 84.63068 | 104.6169 | 1.987486 | 2.694334 |
SSA | 149.0688 | 150 | 198.9275 | 0.212219 | 111.5646 | 104.7142 | 2.124441 | 2.631094 |
HHO | 150 | 149.826237 | 197.2751 | 0 | 142.3795 | 105.1166 | 2.336818 | 2.659223 |
PSO | 149.9876 | 97.9795128 | 186.8842 | 49.9876 | 149.9876 | 135.7171 | 3.1276 | 4.037625 |
SHO | 129.61 | 129.467413 | 100.6067 | 0 | 9.9876 | 100.5476 | 1.402619 | 6.293852 |
WSO | 149.8163 | 149.137294 | 200 | 0.541857 | 125.9246 | 101.6464 | 2.171224 | 2.558456 |
jDE | 149.9789 | 149.816348 | 199.9329 | 0.032755 | 148.9041 | 100.9544 | 2.279773 | 2.533071 |
ASMA | 133.9786 | 105.02752 | 147.399 | 14.01085 | 109.4035 | 178.4849 | 2.895224 | 7.194506 |
